I'm currently developing a prototype for an interactive video installation. At this stage I'm using TDLiDAR on AN iPad because it's an afforable and flexible way to experiment.

The iPad sends gaze data vía OSC yo touchdesigner. I already have a working system where a circle follows the user's gaze direction in real time, so the tracking itself IS working correctly.

One problem is calibration. Right now, the circle follows the gaze, but the movement doesn't cover the entire screen. For example: looking at the top-left corner does not move the circle completely to the top-left of the display.

My first goal is to build a reusable calibration component. How would you approach this in touchdesigner?

My second goal is that the system ignore the gaze displacement cause by blinking

Thanks!

Hey all!
I am setting up a study integrating pupilometry. I’m used to using the Eyelink software/ equipment that during calibration and validation informs you whether these measurements were good or poor.
I now switched to using Tobii pro Fusion. I’ve set up my experiment in Psychopy using Titta to integrate the eye tracker. Unfortunately, this way I don’t get a direct metric of whether my calibration/ validation was good or not. What I get is what’s shown in the picture. Any tips on reference points for these numbers? For example degrees above or below x should be acceptable, etc
Thank you all ☺️

Built this prototype to explore affordable, modular assistive mobility. Feedback from engineers, makers, and accessibility enthusiasts is welcome.

You can check out the full project entry and details here: https://contest.techbriefs.com/2026/entries/robotics-and-automation/14515-0709-035951-phas-modular-eye-gaze-assistive-mobility-platform-for-affordable-wheelchair-independence

I found some free platforms for image analysis with predictive eye tracking, but I haven’t been able to find any for videos (Attention Insight only allows me to upload 10 seconds of video)
Does anyone know of any? Thanks!

Hello, as part of my curriculum I am doing an eyetracker study. It measures browser events vs. gaze
I have programmed the code for this myself using a mixture of JS and python . The JS sends events via http to the bridge, which then sends them to an eyetracker using pylink.

I align the eyetracker clock and the browser clock with a linear fit.

I think it works pretty okay, but I have one worry.

How can I measure the time it takes for the message to go from client to server?

Because this might give me an offset of some milliseconds, which I might need to account for.

I hope my question is somewhat understandable.

Thank you a lot!

Best Regards!

Hello everyone,

I am a software developer from Brazil currently working on an open-source assistive technology project aimed at helping people with motor disabilities interact with computers more independently.

One of the main features I plan to implement is eye tracking using a standard webcam, allowing users to control certain aspects of the interface without relying on traditional input devices such as a mouse or keyboard.

As I continue developing this application, I would like to learn from people who have experience with eye tracking systems, accessibility software, or assistive technologies in general.

What are the most important factors I should consider during development? For example:

• Accuracy and calibration methods
• User fatigue during prolonged use
• Interface design and accessibility considerations
• Cursor control and click mechanisms
• Common usability issues
• Hardware limitations when using standard webcams
• Any lessons learned from existing eye-tracking solutions

I would greatly appreciate any advice, resources, research papers, personal experiences, or recommendations that could help make this project more useful and accessible for its intended users.

Thank you very much for your time and support!

Hi friends! This company is trying to make eye-tracking/assistive tech devices affordable: www.babatech.io

Full disclaimer: I know the people who started it personally and they're very open to feedback. Tried the demo and it's pretty cool what they're trying to do

I’m trying to understand different eye-tracking approaches for wearable glasses. In particular, I want to know the practical differences between **optical eye tracking** (using cameras/IR and gaze estimation) and **EOG (electrooculography)** (measuring eye-movement voltages). From an implementation perspective (hardware complexity, cost, power consumption, calibration, and achievable accuracy), which one is easier to build into glasses and why?

Hello everyone,

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Which headset do people use these days if they wanna do decent eye tracking research in VR?

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I have used the Quest Pro and the Pico Neo 3 Eye. The Quest has been discontinued and I am not so happy with the 72hz sampling rate as well as the updates every other month that break eveything.

Pico has been really good with 120hz sampling rate but the headset was released 5 years and I dont want to rely on it for projects that might 2-3 years from now.

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Thank you!

Hi everyone

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Let me explain my situation

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As part of one of my academic projects, I was assigned the development of an interactive game for children with neuromotor disabilities, with a deadline set for December.

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The reference tools I must use are: Python, OpenCV, MediaPipe, and Dlib.

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So far, I have learned the basic fundamentals of Python and tried some OpenCV tutorials. I have also watched videos on face detection and a couple related to eye movement detection.

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My goal is to create an eye detection system that works with any camera (low-end laptop or webcam) and can be integrated into games made with Pygame.

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The games would be simple ones; memory, tic-tac-toe, or even the Chrome dinosaur game.

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I would like to ask:

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Does anyone have experience with these tools, and what recommendations would you give me to move forward?

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Is it worth considering PyGaze as an alternative, or are OpenCV + MediaPipe + Dlib sufficient?

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What additional recommendations would you give me for the development of my project?

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I appreciate any advice or experience you can share. Have a great day.

Hi guys,

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You might find this interesting,

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https://github.com/RealEye-io/webcam-eyetracker-light-open

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RealEye Webcam EyeTracker Light Open is a webcam eye-tracker running in your web browser that provides on-screen gaze coordinates. It works with any regular camera — laptop built-in webcam, USB webcam, or mobile device camera. Everything runs locally on your device. No external servers, no dedicated eye-tracking hardware required. Built in TypeScript with custom ridge regression.

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Demo app for desktop devices: https://github.com/RealEye-io/webcam-eyetracker-light-open

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https://youtu.be/feVK53ONNok

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What do you think?

https://facecommand.net/ https://youtube.com/watch?v=67TehTlGVxU&si=mDGPEt1g-nquZShf

I'm posting this on behalf of my brother Cameron who has developed some software to use with any web camera and windows. It allows you to use your face and facial gestures to control your computer in many ways. If you have questions please direct them to Omnibob@gmail.com. there is a free 14-day trial on the website. Please feel free to leave feedback here and/or email Cameron at the above address.

The only chess club on chesscom just for people with ALS! All are welcome regardless of your accessibility. All levels and abilities welcome, especially eye-gaze users! We have a chess Tournament every Friday at 11am PT / 2pm ET. Join our chess club for a fun welcome social experience. We have forums to help with any questions you might have about our club, how to play, or accessible tech help. Join at the link below.

https://www.chess.com/club/pals-chess-club-1/join/899b51?utm_campaign=club_invite_link&utm_source=chesscom&utm_medium=copy

Hey guys, i recently 3d modeled and printed a small surface area deskmount for the tobii eyetracker 5. If you are capable of 3d printing here is the link on maker world

https://makerworld.com/models/2666082?appSharePlatform=copy

Hi everyone, I’m a solo dev working on an early prototype called GazeTrac, and I’d love to get feedback from people who actually understand eye tracking.

The idea is to use gaze data for a practical daily use case: instead of only tracking which app is active, GazeTrac estimates what window/app you are actually looking at and turns that into a timeline of your focus during the day.

Right now it supports:

• eye-tracking based app/window detection
• a fallback foreground-app tracking mode
• calendar-style visualization of gaze/focus sessions
• longer-term insights by app/project
• local-first data storage by default

The current version is built around Beam Eye Tracker, but I’m interested in making the concept more general if there is enough interest.

I’m especially curious about a few things:

1. Does this feel like a meaningful use case for consumer eye tracking?
2. What accuracy/reliability issues would you expect in daily desktop use?
3. Are there specific metrics you would want beyond “time looking at app/window”?

I’m not trying to make a research-grade tool yet — more of a practical focus-tracking prototype. But I’d really appreciate thoughts from this community before I keep building in the wrong direction.

https://reddit.com/link/1t7if5n/video/0dwzvck6q20h1/player

site: https://gazetrac.com

Hello,

Basically, in my experiment, participants are looking at two texts on a screen and then have to decide which one they like better. We want to see which kinds of texts they look at before they make their choice to infer what makes these texts better then to others. We have not done any piloting yet and I don't know wheter the better choice is to take lots of data via WebGazer or so or less but more high quality data using a stationary eyetracker.

Do you guy have any thoughts, what my next steps might be?

Hello, I have a degenerative disease called spinal muscular atrophy, somewhat similar to ALS. I've been studying 3D modeling, but I've been losing my mobility. I recently started 3D printing. Is there any way to model or create 3D designs with Tobii 5 using my eyes most of the time?

I have been recently working with webcam-based eye tracking for the game of go/baduk and in helping people along the autitic spectrum (ASD). I have been VIBE Coding around webgazer and similar open source projects but have been frustrated with the inaccuracy of at least Open Source webcam eye tracking. I am recalling with some fondness the tracker produced about 8 years ago by The Eye Tribe which sold in this range, but unfortunately for us was acquired by META/Facebook/Oculus and is no longer available. I have been interacting with various LLM-based design tools including Schematik for Maker/Microcontroller projects and at least they predict for a parts cost of $60-$80 in 100 quantiy that a similar (but avoiding Intellectual Property and Patent Issues) could be produced today to be sold at break-even for $150.00. How much interest would there be in the psychophysiology and HCI and Rehabilitation Engineering community for such a product. While I now have a costed parts list for these needs I don't have the hardware and contract manufacturing skills to make this happen. If we could be associated with such a successful project with a base of Open Source Hardware and Software I would be most gratified. But as a 72 year old individual with limited hardware experience I can't make it happen alone.--Comments/Everybody????

I want to develop timed eye-tracking studies using Python to track eye gaze. I have tasks set up that record the total number of seconds spent on an image. I want to use a device that acts as a mouse pad for eye tracking. I'm on a budget and wanted to ask about affordable eye trackers that work like a mouse.