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PyGaze | Open source eye-tracking software and more.
- Article author: www.pygaze.org
- Reviews from users: 22698
Ratings - Top rated: 4.6
- Lowest rated: 1
- Summary of article content: Articles about 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 … …
- Most searched keywords: Whether you are looking for 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 …
- Table of Contents:
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
10 Free Eye Tracking Software Programs [Pros and Cons]
- Article author: imotions.com
- Reviews from users: 4867 Ratings
- Top rated: 4.0
- Lowest rated: 1
- Summary of article content: Articles about 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 … …
- Most searched keywords: Whether you are looking for 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 … 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.
- Table of Contents:
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
![10 Free Eye Tracking Software Programs [Pros and Cons]](https://media.imotions.com/images/20190529145021/10-Free-Eye-Tracking-Software-Programs-Pros-and-Cons.jpg){kind=tracking}
웹캠 아이트래킹 – eye square
- Article author: www.eye-square.com
- Reviews from users: 24816 Ratings
- Top rated: 3.4
- Lowest rated: 1
- Summary of article content: Articles about 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 … …
- Most searched keywords: Whether you are looking for 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 … Eye square international full service market brand shopper and usability research company with focus on implicit research methodsMarket Research, Eye-Tracking, eye tracking, Usability, user experience, brand measurement, shopper research, brand research,implicit, implizite verfahren, webcam eye-tracking,
- Table of Contents:
관심 측정의 혁명
장점
다수의 참여자 짧은 소요시간 적은 비용
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Cheap, Open Source Eye Tracking You Can Build Yourself – Hackster.io
- Article author: www.hackster.io
- Reviews from users: 1061 Ratings
- Top rated: 4.1
- Lowest rated: 1
- Summary of article content: Articles about Cheap, Open Source Eye Tracking You Can Build Yourself – Hackster.io Controlling computers with one’s eyes is a staple of science fiction that makes a lot more sense than Minority Report- hand-waving… …
- Most searched keywords: Whether you are looking for Cheap, Open Source Eye Tracking You Can Build Yourself – Hackster.io Controlling computers with one’s eyes is a staple of science fiction that makes a lot more sense than Minority Report- hand-waving… Controlling computers with one’s eyes is a staple of science fiction that makes a lot more sense than Minority Report-style hand-waving…
- Table of Contents:
GitHub – pupil-labs/pupil: Open source eye tracking
- Article author: github.com
- Reviews from users: 41063 Ratings
- Top rated: 4.3
- Lowest rated: 1
- Summary of article content: Articles about GitHub – pupil-labs/pupil: Open source eye tracking Pupil is a project in active, community driven development. Pupil Core mobile eye tracking hardware is accessible, hackable, and affordable. The software is … …
- Most searched keywords: Whether you are looking for GitHub – pupil-labs/pupil: Open source eye tracking 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 eye tracking . Contribute to pupil-labs/pupil development by creating an account on GitHub.
- Table of Contents:
Latest commit
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READMEmd
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About
Releases
116
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Frontiers | EyeLoop: An Open-Source System for High-Speed, Closed-Loop Eye-Tracking
- Article author: www.frontiersin.org
- Reviews from users: 15303 Ratings
- Top rated: 4.2
- Lowest rated: 1
- Summary of article content: Articles about Frontiers | EyeLoop: An Open-Source System for High-Speed, Closed-Loop Eye-Tracking EyeLoop enables low-resource facilities access to eye-tracking and encourages community-based development of software code through a modular, tractable … …
- Most searched keywords: Whether you are looking for Frontiers | EyeLoop: An Open-Source System for High-Speed, Closed-Loop Eye-Tracking EyeLoop enables low-resource facilities access to eye-tracking and encourages community-based development of software code through a modular, tractable … Eye-trackers are widely used to study nervous system dynamics and neuropathology. Despite this broad utility, eye-tracking remains expensive, hardware-intensive, and proprietary, limiting its use to high-resource facilities. It also does not easily allow for real-time analysis and closed-loop design to link eye movements to neural activity. To address these issues, we developed an open-source eye-tracker – EyeLoop – that uses a highly efficient vectorized pupil detection method to provide uninterrupted tracking and fast online analysis with high accuracy on par with popular eye tracking modules, such as DeepLabCut. This Python-based software easily integrates custom functions using code modules, tracks a multitude of eyes, including in rodents, humans, and non-human primates, and operates at more than 1,000 frames per second on consumer-grade hardware. In this paper, we demonstrate EyeLoop’s utility in an open-loop experiment and in biomedical disease identification, two common applications of eye-tracking. With a remarkably low cost and minimum setup steps, EyeLoop makes high-speed eye-tracking widely accessible.Eye-trackers are widely used to study nervous system dynamics and neuropathology. Despite this broad utility, eye-tracking remains expensive, hardware-intensive, and proprietary, limiting its use to high-resource facilities. It also does not easily allow for real-time analysis and closed-loop design to link eye movements to neural activity. To address these issues, we developed an open-source eye-tracker – EyeLoop – that uses a highly efficient vectorized pupil detection method to provide uninterrupted tracking and fast online analysis with high accuracy on par with popular eye tracking modules, such as DeepLabCut. This Python-based software easily integrates custom functions using code modules, tracks a multitude of eyes, including in rodents, humans, and non-human primates, and operates at more than 1000 frames per second on consumer-grade hardware. In this paper, we demonstrate EyeLoop’s utility in an open-loop experiment and in biomedical disease identification, two common applications of eye-tracking. With a remarkably low cost and minimum setup steps, EyeLoop makes high-speed eye-tracking widely accessible.Oculographic tools, EYE MOVEMENT, Eye movement abnormalities, Software, Python (programming language)
- Table of Contents:
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
Pupil Core – Open source eye tracking platform – Pupil Labs
- Article author: pupil-labs.com
- Reviews from users: 43600 Ratings
- Top rated: 3.5
- Lowest rated: 1
- Summary of article content: Articles about 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 … …
- Most searched keywords: Whether you are looking for 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 … 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 software stack. Pupil Core is ready to empower your eye tracking research. Pupil Core is more than just a product, it is a global community of researchers. Become part of the community!
- Table of Contents:
Record
Play
Adapt & Extend
Support & Training
WebGazer.js: Democratizing Webcam Eye Tracking on the Browser
- Article author: webgazer.cs.brown.edu
- Reviews from users: 23357 Ratings
- Top rated: 4.1
- Lowest rated: 1
- Summary of article content: Articles about WebGazer.js: Democratizing Webcam Eye Tracking on the Browser Swappable components for eye detection. Multiple gaze prediction models. Continually supported and open source for 5+ years … …
- Most searched keywords: Whether you are looking for WebGazer.js: Democratizing Webcam Eye Tracking on the Browser Swappable components for eye detection. Multiple gaze prediction models. Continually supported and open source for 5+ years …
- Table of Contents:
Democratizing Webcam Eye Tracking on the Browser
Usage
Browser Compatibility
Download Options
Examples
Publications
Press
Who We Are
License
See more articles in the same category here: https://toplist.aseanseafoodexpo.com/blog.
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.
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.
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!
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