아이 트래킹 오픈 소스 | [Money Monster] Eye Tracking, Reading The Eye Movements 상위 45개 답변

당신은 주제를 찾고 있습니까 “아이 트래킹 오픈 소스 – [Money Monster] Eye tracking, reading the eye movements“? 다음 카테고리의 웹사이트 ppa.dianhac.com.vn 에서 귀하의 모든 질문에 답변해 드립니다: https://ppa.dianhac.com.vn/blog. 바로 아래에서 답을 찾을 수 있습니다. 작성자 Arirang Issue (Current Affairs) 이(가) 작성한 기사에는 조회수 2,481회 및 좋아요 28개 개의 좋아요가 있습니다.

Table of Contents

아이 트래킹 오픈 소스 주제에 대한 동영상 보기

여기에서 이 주제에 대한 비디오를 시청하십시오. 주의 깊게 살펴보고 읽고 있는 내용에 대한 피드백을 제공하세요!

d여기에서 [Money Monster] Eye tracking, reading the eye movements – 아이 트래킹 오픈 소스 주제에 대한 세부정보를 참조하세요

Eye tracking, reading the eye movements (시선에 담긴 정보를 읽는 ‘시선 추적 기술’)
Eye tracking technology has seized a lot of attention as user interface of the future. After tracking the eye movements with a camera, the point of gaze can be measured through a mapping process. And it is called eye tracking technology. In the past, additional hardware equipment was necessary to apply an eye tracking technology. However, it has become possible to track the gaze of a user only by using the camera embedded in mobile devices like smartphone and tablet PC. When applying an eye tracking technology to a mobile phone, it is possible to scroll through the screen and even click contents only with eyes, instead of using hands. Eye tracking technology has recently been applied to the automobile industry. By reading the eye movements of a driver, an alert sound rings when a driver gets careless. The technology will be applied to the mass-produced automobiles in the near future in order to prevent the traffic accidents that can be caused by carelessness of the driver. Moreover, in the field of VR, it has become possible to read the eye movements and brain waves as well as analyze emotions. And it is expected to be introduced to a wide range of industries including marketing and preference researches. We introduce eye tracking technology, which can get information by analyzing the eye movements.
최근 차세대 인터페이스로 시선 추적 기술이 주목받고 있다. 눈동자 움직임을 카메라로 추적한 후 매핑을 통해 사용자가 보는 곳의 시선점을 찾는 기술을 바로 시선 추적 기술이라고 한다. 기존에는 별도의 하드웨어 장치를 착용해야 시선 추적 기술이 적용이 가능했었다. 최근엔 스마트폰, 태블릿PC 등 모바일 기기에 내장된 카메라만을 활용해 사용자의 시선을 추적하는 것이 가능하다. 시선 추적 기술이 스마트폰에 적용되면 손이 아닌 눈으로 화면을 스크롤 해 올리고 내리거나 할 수 있고 콘텐츠를 클릭할 수도 있다. 또한 자동차 산업에서도 시선 추적 기술을 도입되고 있다는데 운전자의 시선을 인식해 부주의한 행동이라 판단되면 경보음이 울려 운전자에게 주의를 준다. 앞으로 양산차량에 도입해 운전자 부주의로 일어날 수 있는 교통사고를 사전에 예방할 계획이다. 나아가 VR 분야에서도 사용자의 시선과 뇌파를 인식해 감정까지도 분석할 수 있다. 덕분에 마케팅, 선호도 조사 등에 도입되어 활용되고 있다는데 시선에 담긴 정보를 읽는 시선 추적 기술에 대해 알아본다.
#Eyetracking #camera #mapping

아이 트래킹 오픈 소스 주제에 대한 자세한 내용은 여기를 참조하세요.

PyGaze | Open source eye-tracking software and more.

This is the homepage to PyGaze, an open-source toolbox for eye tracking in Python. It also features related projects, such as PyGaze …

+ 여기에 보기

Source: www.pygaze.org

Date Published: 2/7/2021

View: 7221

웹캠 아이트래킹 – eye square

하지만 오늘날 아이스퀘어는 각자의 집에서 개인의 컴퓨터 앞에 앉아 있는 사람들과. 온라인을 통해 눈의 움직임을 측정할 수 있습니다. 사용자가 일시적인 접근을 …

+ 여기에 보기

Source: www.eye-square.com

Date Published: 6/18/2022

View: 8279

아이 트래킹이란 무엇이며 어떻게 작동 하는가 | Cooltool의 데모 …

PyGaze | Open source eye-tracking software and more. 웹캠 아이트래킹 – eye square; 10 Free Eye Tracking …

+ 여기에 더 보기

Source: you.xosotanphat.com

Date Published: 10/7/2021

View: 1069

10 Free Eye Tracking Software Programs [Pros and Cons]

Originally developed by the Gaze Group at the University of Copenhagen, ITU Gaze Tracker is an open source platform designed to increase the …

+ 여기에 자세히 보기

Source: imotions.com

Date Published: 3/25/2021

View: 4126

온라인 시선 추적 | 웹캠 시선 추적 소프트웨어 – GazeRecorder

Webcam Eye-Tracker: Cloud eye tracking insights platform for remote … 웹캠을 입력 소스로 사용하는이 편리한 응용 프로그램을 사용하여 눈의 움직임을 추적하고 …

+ 더 읽기

Source: redirect.gazerecorder.com

Date Published: 5/20/2022

View: 1841

Pupil labs – Open source eye tracking – GitHub

Pupil is a project in active, community driven development. Pupil Core mobile eye tracking hardware is accessible, hackable, and affordable. The software is …

+ 여기에 보기

Source: github.com

Date Published: 3/14/2022

View: 5694

아이트래킹 및 음성인식 기술을 활용한 지체장애인 컴퓨터 접근 …

제안하는 시스템은 아이트래킹 기술을 이용하여 사용자의 시선만으로 마우스를 이동시킬 수 있 … 사용할 수 있는 STT오픈소스 중 가장 접근성이 높은 Google.

+ 여기를 클릭

Source: www.koreascience.kr

Date Published: 9/24/2021

View: 9651

Pupil Core – Open source eye tracking platform – Pupil Labs

Pupil Core is an eye tracking platform that is comprised of a wearable eye tracking headset that is modular and configurable along with an open source …

+ 여기에 자세히 보기

Source: pupil-labs.com

Date Published: 7/17/2022

View: 7296

WebGazer.js: Democratizing Webcam Eye Tracking on the …

Swappable components for eye detection. Multiple gaze prediction models. Continually supported and open source for 5+ years …

+ 여기에 더 보기

Source: webgazer.cs.brown.edu

Date Published: 11/29/2021

View: 1484

오픈소스 아이트래킹 프로젝트 공개 – 가상현실 채널 – 아카라이브

정보/뉴스 오픈소스 아이트래킹 프로젝트 공개. dpxl. 추천 2 비추천 0 댓글 0 조회수 177 작성일 2022-05-03 16:13:13.

+ 자세한 내용은 여기를 클릭하십시오

Source: arca.live

Date Published: 5/22/2021

View: 4918

주제와 관련된 이미지 아이 트래킹 오픈 소스

주제와 관련된 더 많은 사진을 참조하십시오 [Money Monster] Eye tracking, reading the eye movements. 댓글에서 더 많은 관련 이미지를 보거나 필요한 경우 더 많은 관련 기사를 볼 수 있습니다.

[Money Monster] Eye tracking, reading the eye movements
[Money Monster] Eye tracking, reading the eye movements

주제에 대한 기사 평가 아이 트래킹 오픈 소스

  • Author: Arirang Issue (Current Affairs)
  • Views: 조회수 2,481회
  • Likes: 좋아요 28개
  • Date Published: 2019. 11. 28.
  • Video Url link: https://www.youtube.com/watch?v=0XtBS2hjAbk

Open source eye-tracking software and more.

Testing children is less easy than testing adults, primarily because they lack the social inhibition to tell psychological researchers to go away with their super boring tests. This presents a problem in developmental research: How do you reach these kids?! We developed a bunch of iPad games to test the cognition of an entire classroom in one go. And it works!

eye square

3일 이내에 1000명의 관심도를 측정한다? 그들 중 절반이 독일 전역의 시골 지역에 거주중이다?

게다가 합리적인 비용으로? 몇 년 전만 해도 이것은 사람들의 일반적인 생각에서는 불가능한

일이었습니다. 하지만 오늘날 아이스퀘어는 각자의 집에서 개인의 컴퓨터 앞에 앉아 있는 사람들과

온라인을 통해 눈의 움직임을 측정할 수 있습니다. 사용자가 일시적인 접근을 허용하면, 각각의

컴퓨터에 장착된 웹캠을 통해 눈의 움직임을 측정합니다. 이것은 엄청난 시간과 비용을 절약할 수

있는 혁신적인 방법입니다.

아이 트래킹 오픈 소스 | 아이 트래킹이란 무엇이며 어떻게 작동 하는가 | Cooltool의 데모 비디오 428 개의 새로운 답변이 업데이트되었습니다.

당신은 주제를 찾고 있습니까 “아이 트래킹 오픈 소스 – 아이 트래킹이란 무엇이며 어떻게 작동 하는가 | CoolTool의 데모 비디오“? 다음 카테고리의 웹사이트 you.xosotanphat.com 에서 귀하의 모든 질문에 답변해 드립니다: https://you.xosotanphat.com/blog. 바로 아래에서 답을 찾을 수 있습니다. 작성자 CoolTool 이(가) 작성한 기사에는 조회수 13,732회 및 좋아요 92개 개의 좋아요가 있습니다.

아이 트래킹 오픈 소스 주제에 대한 동영상 보기

여기에서 이 주제에 대한 비디오를 시청하십시오. 주의 깊게 살펴보고 읽고 있는 내용에 대한 피드백을 제공하세요!

d여기에서 아이 트래킹이란 무엇이며 어떻게 작동 하는가 | CoolTool의 데모 비디오 – 아이 트래킹 오픈 소스 주제에 대한 세부정보를 참조하세요

#EyeTracking is a technology that allows you to understand what a person is really looking at while watching advertising, viewing design layouts, browsing a website, etc. It is the most objective method to measure consumers’ attention.

At CoolTool.com, eye-tracking technology (as well as other neuromarketing technologies) is fully integrated with our surveys engine. It allows you to cross-analyze consumers’ explicit responses with their nonconscious reactions and get the most reliable insights. It is all fully automated.

You can run eye-tracking studies using a special device (infrared eye tracker) or via a standard webcam. The accuracy of the webcam-based eye tracking results depends on the webcam resolution.

#Neuromarketing #CX #Insights #Marketing

아이 트래킹 오픈 소스 주제에 대한 자세한 내용은 여기를 참조하세요.

PyGaze | Open source eye-tracking software and more.

This is the homepage to PyGaze, an open-source toolbox for eye tracking in Python. It also features related projects, such as PyGaze …

+ 자세한 내용은 여기를 클릭하십시오

Source: www.pygaze.org

Date Published: 4/21/2021

View: 6847

웹캠 아이트래킹 – eye square

하지만 오늘날 아이스퀘어는 각자의 집에서 개인의 컴퓨터 앞에 앉아 있는 사람들과. 온라인을 통해 눈의 움직임을 측정할 수 있습니다. 사용자가 일시적인 접근을 …

+ 여기에 보기

Source: www.eye-square.com

Date Published: 6/28/2022

View: 9302

10 Free Eye Tracking Software Programs [Pros and Cons]

openEyes. This open source software allows eye tracking from both infrared and visible spectrum illumination, using Matlab. positive Pros. + Can …

+ 여기에 자세히 보기

Source: imotions.com

Date Published: 8/2/2021

View: 9667

Pupil-Labs – Open source eye tracking – GitHub

Pupil is a project in active, community driven development. Pupil Core mobile eye tracking hardware is accessible, hackable, and affordable. The software is …

+ 더 읽기

Source: github.com

Date Published: 8/4/2021

View: 1067

Top 14 아이 트래킹 오픈 소스 Top 83 Best Answers

PyGaze | Open source eye-tracking software and more. 10 Free Eye Tracking Software Programs [Pros and Cons]; 웹캠 아이트래킹 – eye square …

+ 여기를 클릭

Source: toplist.avitour.vn

Date Published: 3/11/2022

View: 8376

아이트래킹 및 음성인식 기술을 활용한 지체장애인 컴퓨터 접근 …

제안하는 시스템은 아이트래킹 기술을 이용하여 사용자의 시선만으로 마우스를 이동시킬 수 있 … 사용할 수 있는 STT오픈소스 중 가장 접근성이 높은 Google.

+ 여기에 보기

Source: www.koreascience.kr

Date Published: 8/1/2021

View: 6795

온라인 시선 추적 | 웹캠 시선 추적 소프트웨어 – GazeRecorder

Webcam Eye-Tracker: Cloud eye tracking insights platform for remote … 웹캠을 입력 소스로 사용하는이 편리한 응용 프로그램을 사용하여 눈의 움직임을 추적하고 …

+ 자세한 내용은 여기를 클릭하십시오

Source: redirect.gazerecorder.com

Date Published: 3/17/2021

View: 6101

Cheap, Open Source Eye Tracking You Can Build Yourself

Controlling computers with one’s eyes is a staple of science fiction that makes a lot more sense than Minority Report- hand-waving…

+ 더 읽기

Source: www.hackster.io

Date Published: 6/11/2022

View: 4317

Pupil Core – Open source eye tracking platform – Pupil Labs

Pupil Core is an eye tracking platform that is comprised of an open source software suite and a wearable eye tracking headset. Pupil Core is more than just a …

+ 여기에 표시

Source: pupil-labs.com

Date Published: 11/22/2021

View: 1856

주제와 관련된 이미지 아이 트래킹 오픈 소스

주제와 관련된 더 많은 사진을 참조하십시오 아이 트래킹이란 무엇이며 어떻게 작동 하는가 | CoolTool의 데모 비디오. 댓글에서 더 많은 관련 이미지를 보거나 필요한 경우 더 많은 관련 기사를 볼 수 있습니다.

아이 트래킹이란 무엇이며 어떻게 작동 하는가 | CoolTool의 데모 비디오

주제에 대한 기사 평가 아이 트래킹 오픈 소스

Author: CoolTool

Views: 조회수 13,732회

Likes: 좋아요 92개

Date Published: 최초 공개: 2019. 8. 7.

Video Url link: https://www.youtube.com/watch?v=_vZF60ujx0U

Open source eye-tracking software and more.

Testing children is less easy than testing adults, primarily because they lack the social inhibition to tell psychological researchers to go away with their super boring tests. This presents a problem in developmental research: How do you reach these kids?! We developed a bunch of iPad games to test the cognition of an entire classroom in one go. And it works!

eye square

3일 이내에 1000명의 관심도를 측정한다? 그들 중 절반이 독일 전역의 시골 지역에 거주중이다? 게다가 합리적인 비용으로? 몇 년 전만 해도 이것은 사람들의 일반적인 생각에서는 불가능한 일이었습니다. 하지만 오늘날 아이스퀘어는 각자의 집에서 개인의 컴퓨터 앞에 앉아 있는 사람들과 온라인을 통해 눈의 움직임을 측정할 수 있습니다. 사용자가 일시적인 접근을 허용하면, 각각의 컴퓨터에 장착된 웹캠을 통해 눈의 움직임을 측정합니다. 이것은 엄청난 시간과 비용을 절약할 수 있는 혁신적인 방법입니다.

10 Free Eye Tracking Software Programs [Pros and Cons]

Researchers have attempted to track the eye movements for well over a century. By knowing what is being looked at, it’s possible to understand what is driving visual attention. This has been important for psychologists and other human behavior researchers, and has become increasingly used by people working in other related fields, such as neuromarketing. As time has passed, the technology and software have improved as well. This has formed the eye tracking field of today, in which incisive discoveries are more accessible than ever through the use of advanced eye tracking software. There are various options available for eye tracking, and some of these are offered free-of-charge. While this can be a great benefit for many users, this advantage is dependent on the software working well – if it doesn’t function as hoped, or offer the capabilities required, then the price doesn’t matter. Below, we outline the pros and cons of free eye tracking software and discuss the benefits of using a more advanced platform like iMotions for your research. Our Free Eye Tracking Software Top 10 List While this list features 10 eye tracking software programs, we also (quite literally) looked at several others. Those that have been left off the list include deprecated or non-functional programs, as well as those that are not truly free. Below we have listed 10 eye tracking software programs, showing whether or not certain functions exist, and the accessibility of them. The list above captures the essentials of the free eye tracking software that we have elucidated further below. xLabs Built as a browser extension for Google Chrome, this startup is the result of 2 years R&D by the four co-founders. You can install the software directly into your browser here. xLabs has also led to a spinoff, EyesDecide that provides testing of stimuli through their webcam-based eye tracking. Pros + Very easy to install + Easy to use + Works in multiple platforms Cons – Only works with webcams (decreased accuracy) – Doesn’t allow integrated stimulus presentation – No simple way to obtain the data – No data analysis options – No support GazePointer The GazePointer program is straightforward to install, and runs on Windows, making it one of the more widely accessible programs on this list. Pros + Easy to install Cons – Only works with webcams (decreased accuracy) – Doesn’t allow integrated stimulus presentation – No support – No data analysis options MyEye MyEye has been designed for use by people with amyotrophic lateral sclerosis (ALS), a neuromuscular disease. It is in the Beta phase of development. Pros + Easy to install Cons – No support or even documentation – Doesn’t allow integrated stimulus presentation – No data analysis options – No simple way to obtain the data Ogama Ogama is open source software developed at the Free University of Berlin. Pros + Allows basic stimulus presentation + Provides basic data analysis options Cons – No support – No updates in over three years openEyes This open source software allows eye tracking from both infrared and visible spectrum illumination, using Matlab. Pros + Can be used with webcams and infrared eye trackers Cons – Requires Matlab (commercial software) and working knowledge of Matlab – Doesn’t allow integrated stimulus presentation – No support – No data analysis options PyGaze This software runs in Python, and was published by three researchers (from Oxford University, Aix-Marseille University, and Utrecht University) in 2014. Pros + Stimulus presentation (requires knowledge of Python) + Data analysis (requires knowledge of Python) Cons – Requires a good working knowledge of Python – Not much support OpenGazer OpenGazer was designed 8 years ago to increase the accessibility of computer use, and was originally supported by Samsung and the Gatsby Charitable Foundation. Pros + Potentially compatible with Apple OS (although requires programming knowledge) Cons – Only works with webcams (decreased accuracy) – Requires Linux (and knowledge of how to use Linux) – No support TurkerGaze TurkerGaze is a software program developed by researchers at Princeton. The system runs in Linux and is dependent on several other Linux programs to function. Pros + Provides basic data analysis options Cons – Best used with a head restraint – Requires Linux (and knowledge of how to use Linux) GazeParser / Simple Gaze Tracker This software consists of two components: GazeParser (for stimulus presentation, data conversion, and analysis), and SimpleGazeTracker is (used for gaze recording) with the use of Python. Pros + Can perform stimulus presentation and data analysis (although requires knowledge of Python) + Provides basic data analysis options (with use of Python coding) Cons – Requires a motion capture or machine vision camera – Requires a chinstrap / head restraint to restrict head movement – Requires a good working knowledge of Python ITU Gaze Tracker Originally developed by the Gaze Group at the University of Copenhagen, ITU Gaze Tracker is an open source platform designed to increase the accessibility of technology. Pros + Easy to install Cons – Requires building own infrared eye tracker (if not using webcam) – No support The Verdict While the free eye tracking software can be a fun experiment – and the feats they pull off are sometimes still impressive (particularly when constructed by small teams) – none are able to meet the requirements of eye tracking for work and research. Making discoveries, and uncovering results, requires that eye tracking is accurate, both in space and time. It is due to these drawbacks that eye tracking software requires a certain amount of credibility – getting past peer-review to publish research will be an even more difficult process if the software itself isn’t widely recognized as leading to legitimate results. – A screenshot of GazePointer. – There is – as always – the potential for things to go wrong, and if you encounter any problems while figuring the software out, it’s unlikely that you will receive much support. As many of the programs have been created by individuals or small groups, chances are that they won’t have the time to help users or fix inevitable software bugs. There are even more things to consider – are there any stimulus presentation options? Can it be integrated with other software, such as PsychoPy, E-Prime, or even in-browser presentation? How is the fixation algorithm constructed? Is the data analyzable, or even accessible? – A screenshot of xLabs. – This could also mean understanding the source code to provide explanations about its use. For a programmer this could be relatively straightforward, but will likely involve a level of expertise well above the average for most people working with eye tracking. For most of the software, the features are rarely fitted to the ideal situation. Webcam-based Eye Tracking Software Many of the free eye tracking softwares above is that they only incorporate data from webcams and provide limited data analysis capabilities. This of course promises more accessibility to the user, yet will not be able to deliver the same level of accuracy as infrared eye trackers. This limitation might be acceptable for some researchers, if for example they are interested in recruiting many respondents across global locations or need to distribute studies remotely due to physical limitations, travel restrictions, etc. – A screenshot of the ITU Gaze Tracker. – Choosing which software to use also comes down to trust. If you’re planning on using the software for research, then you need to be able to defend its use to the research community – this isn’t difficult with companies that have already built trust through years of work and communication, but will unavoidably be more difficult with small startup operations. When Free Options No Longer Cut It iMotions offers two valuable solutions for eye tracking: our desktop application and Online Data Collection. The desktop solution allows you to synchronize and analyze data from infrared eye trackers, and the Online Data Collection system allows for webcam-based eye tracking collected remotely. Both come with the possibility for robust visualizations, annotations, and metrics exports that are integral to high-quality eye tracking research. Carrying out research and work with eye tracking in iMotions is both simple and comprehensive. A whole range of features are readily available, allowing you to carry out advanced research in a plug-and-play solution. Some of the features are listed below. List of features and metrics Individual & aggregate gaze replays Automated AOI generation allows for tracking of an area throughout a video Automated metrics such as Time to First Fixation (TTFF), time spent, ratio, revisits, fixation count, mouse clicks, keystrokes etc. Real-time recording Static & dynamic heatmaps Create live and post markers Raw data including X,Y coordinates of eye position, pupil size, & distance to the screen Well validated in hundreds of publications Continuous support Seamless synchronization with other biosensors, such as facial expression analysis, EEG, GSR, ECG, EMG, and more Integration with 20+ eye tracking models from a range of vendors such as SMI, EyeTech, Eye Tribe, GazePoint, etc – including screen-based, eye tracking glasses, and webcams Simple installation and setup Intuitive user interface Presentation of screen-based multimedia stimuli (images, videos, websites, games, software interfaces and 3D environments) Compatible with mobile devices / external interfaces Real-world recording with glasses or remote eye trackers Ability to expand use with API Integrated study setup and design Integrated data quality assurance tools Static & dynamic areas of interest (AOIs), manual and semi-automated options Expanding human behavior research methods to include other sensors will mean more data, and ultimately more incisive findings. iMotions is not only the research platform that is designed (and continually updated) for this purpose – it also includes an easy-to-use setup with a vast array of accurate eye tracking features. While the price tag – or rather lack of price tag – can be an attractive aspect, if the tracking is slow or inaccurate then little can be done. Accuracy and reliability are necessary when it comes to creating a deeper understanding of human behavior – and that’s difficult to put a price on. I hope you’ve enjoyed reading about the advantages and disadvantages of free eye tracking software. To learn more about how iMotions can help you carry out flawless eye tracking experiments, and to see which advanced features are available, get in touch and schedule a demo. Note: this article was originally published in 2019 and has been updated in 2021 to include the new iMotions Online Data Collection module.

pupil-labs/pupil: Open source eye tracking

Pupil Open source eye tracking platform. Pupil is a project in active, community driven development. Pupil Core mobile eye tracking hardware is accessible, hackable, and affordable. The software is open source and written in Python and C++ when speed is an issue. Our vision is to create tools for a diverse group of people interested in learning about eye tracking and conducting their eye tracking projects. Chat with us on Discord. Users You don’t need to know how to write code to use Pupil. Download the latest apps! Read the Pupil Core user guide. Developers There are a number of ways you can interact with Pupil Core software as a developer: Use the API: Use the network based real-time API to communicate with Pupil over the network and integrate with your application. Develop a Plugin: Plugins are loaded at runtime from the app bundle. Note: if your plugin requires Python libraries that are not included in the application bundle, then you will need to run from source. Run from Source: Can’t do what you need to do with the network based api or plugin? Then get ready to dive into the inner workings of Pupil and run from source! All setup and dependency installation instructions are contained in this repo. All other developer documentation is here. Installing Dependencies Clone the repo After you have installed all dependencies, clone this repo and start Pupil software. git clone https://github.com/pupil-labs/pupil.git # or your fork cd pupil Note: If you are using Windows, you will have to complete a few more steps after cloning the repo. Please refer to the Windows 10 dependencies setup guide. Run Pupil cd pupil_src python main.py capture # or player/service Command Line Arguments The following arguments are supported: Flag Description -h, –help Show help message and exit. –version Show version and exit. –debug Display debug log messages. –profile Profile the app’s CPU time. -P PORT, –port PORT (Capture/Service) Port for Pupil Remote. –hide-ui (Capture/Service) Hide UI on startup. (Player) Path to recording. License All source code written by Pupil Labs is open for use in compliance with the GNU Lesser General Public License (LGPL v3.0). We want you to change and improve the code — make a fork! Make sure to share your work with the community!

Top 14 아이 트래킹 오픈 소스 Top 83 Best Answers

오픈 소스 시선 추적 소프트웨어 / 하드웨어 오픈 소스 시선 추적 소프트웨어 / 하드웨어 Learn Python PyGaze Analyser Research PyGaze Documentation CancellationTools PyBrain workshop What the “Kanye West vs Taylor Swift” of neuroscience tells us about open science Using the BIOPAC MP160 in Python OpenSesame and PyGaze workshop in Potsdam Testing children with iPad games Computer vision Taylor Swift saliency mapping Dalmaijer DPhil DONE! Python Day at the CBU PyGaze supports Tobii Pro SDK Python workshop at ECEM 2017 Read More Our Free Eye Tracking Software Top 10 List xLabs GazePointer MyEye Ogama openEyes PyGaze OpenGazer TurkerGaze GazeParser Simple Gaze Tracker ITU Gaze Tracker The Verdict Webcam-based Eye Tracking Software When Free Options No Longer Cut It Read More 관심 측정의 혁명 장점 다수의 참여자 짧은 소요시간 적은 비용 아이트래킹과 함께 측정될 수 있는 3단계 시청 과정 1 접촉 2 통합 3 답사 접촉 초점 조정 답사 Read More Latest commit Git stats Files READMEmd Users Developers License About Releases 116 Packages 0 Contributors 41 Languages Footer Read More Read More Record Play Adapt & Extend Support & Training Read More ORIGINAL RESEARCH article Introduction Materials and Methods Results Discussion Limitations of the Study Data Availability Statement Ethics Statement Author Contributions Funding Conflict of Interest Publisher’s Note Acknowledgments Supplementary Material References Read More 온라인 아이 트래킹 인사이트 플랫폼 GazeRecorder 앱 간행물 블로그 GazeCloudAPIjs ì ‘ì´‰ 태그 Read More Read More See more articles in the same category here: https://toplist.avitour.vn/blog/. Researchers have attempted to track the eye movements for well over a century. By knowing what is being looked at, it’s possible to understand what is driving visual attention. This has been important for psychologists and other human behavior researchers, and has become increasingly used by people working in other related fields, such as neuromarketing. As time has passed, the technology and software have improved as well. This has formed the eye tracking field of today, in which incisive discoveries are more accessible than ever through the use of advanced eye tracking software. There are various options available for eye tracking, and some of these are offered free-of-charge. While this can be a great benefit for many users, this advantage is dependent on the software working well – if it doesn’t function as hoped, or offer the capabilities required, then the price doesn’t matter. Below, we outline the pros and cons of free eye tracking software and discuss the benefits of using a more advanced platform like iMotions for your research. Our Free Eye Tracking Software Top 10 List While this list features 10 eye tracking software programs, we also (quite literally) looked at several others. Those that have been left off the list include deprecated or non-functional programs, as well as those that are not truly free. Below we have listed 10 eye tracking software programs, showing whether or not certain functions exist, and the accessibility of them. The list above captures the essentials of the free eye tracking software that we have elucidated further below. xLabs Built as a browser extension for Google Chrome, this startup is the result of 2 years R&D by the four co-founders. You can install the software directly into your browser here. xLabs has also led to a spinoff, EyesDecide that provides testing of stimuli through their webcam-based eye tracking. Pros + Very easy to install + Easy to use + Works in multiple platforms Cons – Only works with webcams (decreased accuracy) – Doesn’t allow integrated stimulus presentation – No simple way to obtain the data – No data analysis options – No support GazePointer The GazePointer program is straightforward to install, and runs on Windows, making it one of the more widely accessible programs on this list. Pros + Easy to install Cons – Only works with webcams (decreased accuracy) – Doesn’t allow integrated stimulus presentation – No support – No data analysis options MyEye MyEye has been designed for use by people with amyotrophic lateral sclerosis (ALS), a neuromuscular disease. It is in the Beta phase of development. Pros + Easy to install Cons – No support or even documentation – Doesn’t allow integrated stimulus presentation – No data analysis options – No simple way to obtain the data Ogama Ogama is open source software developed at the Free University of Berlin. Pros + Allows basic stimulus presentation + Provides basic data analysis options Cons – No support – No updates in over three years openEyes This open source software allows eye tracking from both infrared and visible spectrum illumination, using Matlab. Pros + Can be used with webcams and infrared eye trackers Cons – Requires Matlab (commercial software) and working knowledge of Matlab – Doesn’t allow integrated stimulus presentation – No support – No data analysis options PyGaze This software runs in Python, and was published by three researchers (from Oxford University, Aix-Marseille University, and Utrecht University) in 2014. Pros + Stimulus presentation (requires knowledge of Python) + Data analysis (requires knowledge of Python) Cons – Requires a good working knowledge of Python – Not much support OpenGazer OpenGazer was designed 8 years ago to increase the accessibility of computer use, and was originally supported by Samsung and the Gatsby Charitable Foundation. Pros + Potentially compatible with Apple OS (although requires programming knowledge) Cons – Only works with webcams (decreased accuracy) – Requires Linux (and knowledge of how to use Linux) – No support TurkerGaze TurkerGaze is a software program developed by researchers at Princeton. The system runs in Linux and is dependent on several other Linux programs to function. Pros + Provides basic data analysis options Cons – Best used with a head restraint – Requires Linux (and knowledge of how to use Linux) GazeParser / Simple Gaze Tracker This software consists of two components: GazeParser (for stimulus presentation, data conversion, and analysis), and SimpleGazeTracker is (used for gaze recording) with the use of Python. Pros + Can perform stimulus presentation and data analysis (although requires knowledge of Python) + Provides basic data analysis options (with use of Python coding) Cons – Requires a motion capture or machine vision camera – Requires a chinstrap / head restraint to restrict head movement – Requires a good working knowledge of Python ITU Gaze Tracker Originally developed by the Gaze Group at the University of Copenhagen, ITU Gaze Tracker is an open source platform designed to increase the accessibility of technology. Pros + Easy to install Cons – Requires building own infrared eye tracker (if not using webcam) – No support The Verdict While the free eye tracking software can be a fun experiment – and the feats they pull off are sometimes still impressive (particularly when constructed by small teams) – none are able to meet the requirements of eye tracking for work and research. Making discoveries, and uncovering results, requires that eye tracking is accurate, both in space and time. It is due to these drawbacks that eye tracking software requires a certain amount of credibility – getting past peer-review to publish research will be an even more difficult process if the software itself isn’t widely recognized as leading to legitimate results. – A screenshot of GazePointer. – There is – as always – the potential for things to go wrong, and if you encounter any problems while figuring the software out, it’s unlikely that you will receive much support. As many of the programs have been created by individuals or small groups, chances are that they won’t have the time to help users or fix inevitable software bugs. There are even more things to consider – are there any stimulus presentation options? Can it be integrated with other software, such as PsychoPy, E-Prime, or even in-browser presentation? How is the fixation algorithm constructed? Is the data analyzable, or even accessible? – A screenshot of xLabs. – This could also mean understanding the source code to provide explanations about its use. For a programmer this could be relatively straightforward, but will likely involve a level of expertise well above the average for most people working with eye tracking. For most of the software, the features are rarely fitted to the ideal situation. Webcam-based Eye Tracking Software Many of the free eye tracking softwares above is that they only incorporate data from webcams and provide limited data analysis capabilities. This of course promises more accessibility to the user, yet will not be able to deliver the same level of accuracy as infrared eye trackers. This limitation might be acceptable for some researchers, if for example they are interested in recruiting many respondents across global locations or need to distribute studies remotely due to physical limitations, travel restrictions, etc. – A screenshot of the ITU Gaze Tracker. – Choosing which software to use also comes down to trust. If you’re planning on using the software for research, then you need to be able to defend its use to the research community – this isn’t difficult with companies that have already built trust through years of work and communication, but will unavoidably be more difficult with small startup operations. When Free Options No Longer Cut It iMotions offers two valuable solutions for eye tracking: our desktop application and Online Data Collection. The desktop solution allows you to synchronize and analyze data from infrared eye trackers, and the Online Data Collection system allows for webcam-based eye tracking collected remotely. Both come with the possibility for robust visualizations, annotations, and metrics exports that are integral to high-quality eye tracking research. Carrying out research and work with eye tracking in iMotions is both simple and comprehensive. A whole range of features are readily available, allowing you to carry out advanced research in a plug-and-play solution. Some of the features are listed below. List of features and metrics Individual & aggregate gaze replays Automated AOI generation allows for tracking of an area throughout a video Automated metrics such as Time to First Fixation (TTFF), time spent, ratio, revisits, fixation count, mouse clicks, keystrokes etc. Real-time recording Static & dynamic heatmaps Create live and post markers Raw data including X,Y coordinates of eye position, pupil size, & distance to the screen Well validated in hundreds of publications Continuous support Seamless synchronization with other biosensors, such as facial expression analysis, EEG, GSR, ECG, EMG, and more Integration with 20+ eye tracking models from a range of vendors such as SMI, EyeTech, Eye Tribe, GazePoint, etc – including screen-based, eye tracking glasses, and webcams Simple installation and setup Intuitive user interface Presentation of screen-based multimedia stimuli (images, videos, websites, games, software interfaces and 3D environments) Compatible with mobile devices / external interfaces Real-world recording with glasses or remote eye trackers Ability to expand use with API Integrated study setup and design Integrated data quality assurance tools Static & dynamic areas of interest (AOIs), manual and semi-automated options Expanding human behavior research methods to include other sensors will mean more data, and ultimately more incisive findings. iMotions is not only the research platform that is designed (and continually updated) for this purpose – it also includes an easy-to-use setup with a vast array of accurate eye tracking features. While the price tag – or rather lack of price tag – can be an attractive aspect, if the tracking is slow or inaccurate then little can be done. Accuracy and reliability are necessary when it comes to creating a deeper understanding of human behavior – and that’s difficult to put a price on. I hope you’ve enjoyed reading about the advantages and disadvantages of free eye tracking software. To learn more about how iMotions can help you carry out flawless eye tracking experiments, and to see which advanced features are available, get in touch and schedule a demo. Note: this article was originally published in 2019 and has been updated in 2021 to include the new iMotions Online Data Collection module.

웹캠 시선 추적 소프트웨어

웹캠을 입력 소스로 사용하는이 편리한 응용 프로그램을 사용하여 눈의 움직임을 추적하고 비디오 녹화물을 만드십시오. 온라인 라이브 데모 획기적인 발견을 할 수 있기 때문에 다양한 과학 실험을 수행하는 것은 보람이있을 수 있지만 그중 많은 것을 실행하면 그렇지 않습니다. 적절한 도구없이 가능합니다. 하지만 계속되는 관심 덕분에 …

Cheap, Open Source Eye Tracking You Can Build Yourself

Controlling computers with one’s eyes is a staple of science fiction that makes a lot more sense than Minority Report-style hand-waving. Nobody wants to swing their arms all over the place just to open the future equivalent of Facebook — it’s horribly inefficient. Simply looking at the Futureface icon with your eyes, however, is very efficient. Moving your eyes is quick and expends almost no energy. Practical eye tracking is still in its infancy, and can often be quite expensive. But, John Evans’ open source eye tracker is affordable and seems to work well. The goal of every eye tracking system is to simply determine what it is you’re looking at. It needs to be accurate enough to work with a traditional computing workspace, and quick enough to keep up with the fast movement of your eyes. Evan’s eye tracker achieves that, but the hardware is fairly complex. That said, the system is still very affordable, and all of the code is available so that you can build one yourself. The primary components of the system are a pair of commercial $20 webcams, and a pair of infrared LED beacons. The beacons are stationary, and should be placed around whatever you’re looking at — probably your computer screen. One of webcams points at your eyes, and uses the infrared reflections from the beacons to determine a “looking vector.” The second camera points towards what you’re looking at, and uses that looking vector to calculate where your gaze is actually falling. If you want to give it a try, Evans’ has developed a camera viewer program that will handle the math so you can get started.

Open source eye tracking platform.

Adapt & Extend Pupil Core is used for a diverse range of research purposes. The headset is modular, durable, and lightweight. Use Pupil Core’s API to connect to other devices. Easily add custom features by writing a plugin in Python. Load plugins at runtime in the app. Adapt our hardware and software to suit your needs. Build novel prototypes. See API Docs

키워드에 대한 정보 아이 트래킹 오픈 소스

다음은 Bing에서 아이 트래킹 오픈 소스 주제에 대한 검색 결과입니다. 필요한 경우 더 읽을 수 있습니다.

이 기사는 인터넷의 다양한 출처에서 편집되었습니다. 이 기사가 유용했기를 바랍니다. 이 기사가 유용하다고 생각되면 공유하십시오. 매우 감사합니다!

사람들이 주제에 대해 자주 검색하는 키워드 아이 트래킹이란 무엇이며 어떻게 작동 하는가 | CoolTool의 데모 비디오

Eye Tracking

Market research

Survey

Questionnaire

research

innovation

new technology

data collection

cooltool

eye tracking

eyetracker

neuromarketing

heatmap

online surveys

tobii

low cost eye tracker

neuromarketing research

consumer behavior

effective

visible

advertising

marketing

ad

advertisement

market research

advertising research

eye tracker

아이 #트래킹이란 #무엇이며 #어떻게 #작동 #하는가 #| #CoolTool의 #데모 #비디오

YouTube에서 아이 트래킹 오픈 소스 주제의 다른 동영상 보기

주제에 대한 기사를 시청해 주셔서 감사합니다 아이 트래킹이란 무엇이며 어떻게 작동 하는가 | CoolTool의 데모 비디오 | 아이 트래킹 오픈 소스, 이 기사가 유용하다고 생각되면 공유하십시오, 매우 감사합니다.

10 Free Eye Tracking Software Programs [Pros and Cons]

Researchers have attempted to track the eye movements for well over a century. By knowing what is being looked at, it’s possible to understand what is driving visual attention.

This has been important for psychologists and other human behavior researchers, and has become increasingly used by people working in other related fields, such as neuromarketing.

As time has passed, the technology and software have improved as well. This has formed the eye tracking field of today, in which incisive discoveries are more accessible than ever through the use of advanced eye tracking software.

There are various options available for eye tracking, and some of these are offered free-of-charge. While this can be a great benefit for many users, this advantage is dependent on the software working well – if it doesn’t function as hoped, or offer the capabilities required, then the price doesn’t matter. Below, we outline the pros and cons of free eye tracking software and discuss the benefits of using a more advanced platform like iMotions for your research.

Our Free Eye Tracking Software Top 10 List

While this list features 10 eye tracking software programs, we also (quite literally) looked at several others. Those that have been left off the list include deprecated or non-functional programs, as well as those that are not truly free.

Below we have listed 10 eye tracking software programs, showing whether or not certain functions exist, and the accessibility of them.

The list above captures the essentials of the free eye tracking software that we have elucidated further below.

xLabs

Built as a browser extension for Google Chrome, this startup is the result of 2 years R&D by the four co-founders. You can install the software directly into your browser here. xLabs has also led to a spinoff, EyesDecide that provides testing of stimuli through their webcam-based eye tracking.

Pros

+ Very easy to install

+ Easy to use

+ Works in multiple platforms

Cons

– Only works with webcams (decreased accuracy)

– Doesn’t allow integrated stimulus presentation

– No simple way to obtain the data

– No data analysis options

– No support

GazePointer

The GazePointer program is straightforward to install, and runs on Windows, making it one of the more widely accessible programs on this list.

Pros

+ Easy to install

Cons

– Only works with webcams (decreased accuracy)

– Doesn’t allow integrated stimulus presentation

– No support

– No data analysis options

MyEye

MyEye has been designed for use by people with amyotrophic lateral sclerosis (ALS), a neuromuscular disease. It is in the Beta phase of development.

Pros

+ Easy to install

Cons

– No support or even documentation

– Doesn’t allow integrated stimulus presentation

– No data analysis options

– No simple way to obtain the data

Ogama

Ogama is open source software developed at the Free University of Berlin.

Pros

+ Allows basic stimulus presentation

+ Provides basic data analysis options

Cons

– No support

– No updates in over three years

openEyes

This open source software allows eye tracking from both infrared and visible spectrum illumination, using Matlab.

Pros

+ Can be used with webcams and infrared eye trackers

Cons

– Requires Matlab (commercial software) and working knowledge of Matlab

– Doesn’t allow integrated stimulus presentation

– No support

– No data analysis options

PyGaze

This software runs in Python, and was published by three researchers (from Oxford University, Aix-Marseille University, and Utrecht University) in 2014.

Pros

+ Stimulus presentation (requires knowledge of Python)

+ Data analysis (requires knowledge of Python)

Cons

– Requires a good working knowledge of Python

– Not much support

OpenGazer

OpenGazer was designed 8 years ago to increase the accessibility of computer use, and was originally supported by Samsung and the Gatsby Charitable Foundation.

Pros

+ Potentially compatible with Apple OS (although requires programming knowledge)

Cons

– Only works with webcams (decreased accuracy)

– Requires Linux (and knowledge of how to use Linux)

– No support

TurkerGaze

TurkerGaze is a software program developed by researchers at Princeton. The system runs in Linux and is dependent on several other Linux programs to function.

Pros

+ Provides basic data analysis options

Cons

– Best used with a head restraint

– Requires Linux (and knowledge of how to use Linux)

GazeParser / Simple Gaze Tracker

This software consists of two components: GazeParser (for stimulus presentation, data conversion, and analysis), and SimpleGazeTracker is (used for gaze recording) with the use of Python.

Pros

+ Can perform stimulus presentation and data analysis (although requires knowledge of Python)

+ Provides basic data analysis options (with use of Python coding)

Cons

– Requires a motion capture or machine vision camera

– Requires a chinstrap / head restraint to restrict head movement

– Requires a good working knowledge of Python

ITU Gaze Tracker

Originally developed by the Gaze Group at the University of Copenhagen, ITU Gaze Tracker is an open source platform designed to increase the accessibility of technology.

Pros

+ Easy to install

Cons

– Requires building own infrared eye tracker (if not using webcam)

– No support

The Verdict

While the free eye tracking software can be a fun experiment – and the feats they pull off are sometimes still impressive (particularly when constructed by small teams) – none are able to meet the requirements of eye tracking for work and research. Making discoveries, and uncovering results, requires that eye tracking is accurate, both in space and time.

It is due to these drawbacks that eye tracking software requires a certain amount of credibility – getting past peer-review to publish research will be an even more difficult process if the software itself isn’t widely recognized as leading to legitimate results.

A screenshot of GazePointer.

There is – as always – the potential for things to go wrong, and if you encounter any problems while figuring the software out, it’s unlikely that you will receive much support. As many of the programs have been created by individuals or small groups, chances are that they won’t have the time to help users or fix inevitable software bugs.

There are even more things to consider – are there any stimulus presentation options? Can it be integrated with other software, such as PsychoPy, E-Prime, or even in-browser presentation? How is the fixation algorithm constructed? Is the data analyzable, or even accessible?

A screenshot of xLabs.

This could also mean understanding the source code to provide explanations about its use. For a programmer this could be relatively straightforward, but will likely involve a level of expertise well above the average for most people working with eye tracking.

For most of the software, the features are rarely fitted to the ideal situation.

Webcam-based Eye Tracking Software

Many of the free eye tracking softwares above is that they only incorporate data from webcams and provide limited data analysis capabilities. This of course promises more accessibility to the user, yet will not be able to deliver the same level of accuracy as infrared eye trackers. This limitation might be acceptable for some researchers, if for example they are interested in recruiting many respondents across global locations or need to distribute studies remotely due to physical limitations, travel restrictions, etc.

A screenshot of the ITU Gaze Tracker.

Choosing which software to use also comes down to trust. If you’re planning on using the software for research, then you need to be able to defend its use to the research community – this isn’t difficult with companies that have already built trust through years of work and communication, but will unavoidably be more difficult with small startup operations.

When Free Options No Longer Cut It

iMotions offers two valuable solutions for eye tracking: our desktop application and Online Data Collection. The desktop solution allows you to synchronize and analyze data from infrared eye trackers, and the Online Data Collection system allows for webcam-based eye tracking collected remotely. Both come with the possibility for robust visualizations, annotations, and metrics exports that are integral to high-quality eye tracking research.

Carrying out research and work with eye tracking in iMotions is both simple and comprehensive. A whole range of features are readily available, allowing you to carry out advanced research in a plug-and-play solution. Some of the features are listed below.

List of features and metrics Individual & aggregate gaze replays

Automated AOI generation allows for tracking of an area throughout a video

Automated metrics such as Time to First Fixation (TTFF), time spent, ratio, revisits, fixation count, mouse clicks, keystrokes etc.

Real-time recording

Static & dynamic heatmaps

Create live and post markers

Raw data including X,Y coordinates of eye position, pupil size, & distance to the screen

Well validated in hundreds of publications

Continuous support

Seamless synchronization with other biosensors, such as facial expression analysis, EEG, GSR, ECG, EMG, and more Integration with 20+ eye tracking models from a range of vendors such as SMI, EyeTech, Eye Tribe, GazePoint, etc – including screen-based, eye tracking glasses, and webcams

Simple installation and setup

Intuitive user interface

Presentation of screen-based multimedia stimuli (images, videos, websites, games, software interfaces and 3D environments)

Compatible with mobile devices / external interfaces

Real-world recording with glasses or remote eye trackers

Ability to expand use with API

Integrated study setup and design

Integrated data quality assurance tools

Static & dynamic areas of interest (AOIs), manual and semi-automated options

Expanding human behavior research methods to include other sensors will mean more data, and ultimately more incisive findings. iMotions is not only the research platform that is designed (and continually updated) for this purpose – it also includes an easy-to-use setup with a vast array of accurate eye tracking features.

While the price tag – or rather lack of price tag – can be an attractive aspect, if the tracking is slow or inaccurate then little can be done. Accuracy and reliability are necessary when it comes to creating a deeper understanding of human behavior – and that’s difficult to put a price on.

I hope you’ve enjoyed reading about the advantages and disadvantages of free eye tracking software. To learn more about how iMotions can help you carry out flawless eye tracking experiments, and to see which advanced features are available, get in touch and schedule a demo.

Note: this article was originally published in 2019 and has been updated in 2021 to include the new iMotions Online Data Collection module.

웹캠 시선 추적 소프트웨어

웹캠을 입력 소스로 사용하는이 편리한 응용 프로그램을 사용하여 눈의 움직임을 추적하고 비디오 녹화물을 만드십시오. 온라인 라이브 데모 획기적인 발견을 할 수 있기 때문에 다양한 과학 실험을 수행하는 것은 보람이있을 수 있지만 그중 많은 것을 실행하면 그렇지 않습니다. 적절한 도구없이 가능합니다. 하지만 계속되는 관심 덕분에 …

pupil-labs/pupil: Open source eye tracking

Pupil

Open source eye tracking platform.

Pupil is a project in active, community driven development. Pupil Core mobile eye tracking hardware is accessible, hackable, and affordable. The software is open source and written in Python and C++ when speed is an issue.

Our vision is to create tools for a diverse group of people interested in learning about eye tracking and conducting their eye tracking projects.

Chat with us on Discord.

Users

You don’t need to know how to write code to use Pupil. Download the latest apps!

Read the Pupil Core user guide.

Developers

There are a number of ways you can interact with Pupil Core software as a developer:

Use the API: Use the network based real-time API to communicate with Pupil over the network and integrate with your application.

Develop a Plugin: Plugins are loaded at runtime from the app bundle. Note: if your plugin requires Python libraries that are not included in the application bundle, then you will need to run from source.

Run from Source: Can’t do what you need to do with the network based api or plugin? Then get ready to dive into the inner workings of Pupil and run from source!

All setup and dependency installation instructions are contained in this repo. All other developer documentation is here.

Installing Dependencies

Clone the repo

After you have installed all dependencies, clone this repo and start Pupil software.

git clone https://github.com/pupil-labs/pupil.git # or your fork cd pupil

Note: If you are using Windows, you will have to complete a few more steps after cloning the repo. Please refer to the Windows 10 dependencies setup guide.

Run Pupil

cd pupil_src python main.py capture # or player/service

Command Line Arguments

The following arguments are supported:

Flag Description -h, –help Show help message and exit. –version Show version and exit. –debug Display debug log messages. –profile Profile the app’s CPU time. -P PORT, –port PORT (Capture/Service) Port for Pupil Remote. –hide-ui (Capture/Service) Hide UI on startup. (Player) Path to recording.

License

All source code written by Pupil Labs is open for use in compliance with the GNU Lesser General Public License (LGPL v3.0). We want you to change and improve the code — make a fork! Make sure to share your work with the community!

Open source eye tracking platform.

Adapt & Extend

Pupil Core is used for a diverse range of research purposes. The headset is modular, durable, and lightweight.

Use Pupil Core’s API to connect to other devices. Easily add custom features by writing a plugin in Python. Load plugins at runtime in the app.

Adapt our hardware and software to suit your needs. Build novel prototypes.

See API Docs

WebGazer.js: Democratizing Webcam Eye Tracking on the Browser

/* WebGazer.js library */

Leave a Comment