EyeTech has served the assistive technology market since its inception 20 years ago. Although the applications for eye tracking are growing and becoming more mainstream, EyeTech continues to find new applications to help those with physical disabilities. This year at CES, EyeTech brought a wheel chair and demonstrated driving it with your eyes. See this article from Arizona Tech Beat.
Of course VR HMDs are also a natural application for eye tracking, and EyeTech welcomed partner Quantum Interface as part of the EyeTech booth to show the latest developments. Click here for a write-up on this application from Tom's Hardware.
Also in the booth with EyeTech was a demo of EyeTech's VT3 eye tracker combined with King Devick software to detect and diagnose brain injuries. Click here for a summary of our CES 2016 exhibits.
The best part about CES, however, is meeting new people who envision embedding eye tracking into their latest application--applications that protect, teach, and enable.
Automotive HMI Research Project - Combining Eye Tracking & Gesture for HUD Control - Evaluating HMI Preference
Last year EyeTech contracted with an automotive company to build an HMI (Human Machine Interface) system that used touch, eye tracking and gesture technology. EyeTech prototyped a custom eye tracking (gaze based) user interface combined with gesture interaction, and performed testing and recordings of the interface for a car dashboard. EyeTech’s engineering team was contracted to create and set up all hardware and software involved in the project. EyeTech delivered the working software and hardware in March 2014 for the automotive partner to evaluate. With the time and resource constraints of the project, EyeTech’s partner decided to integrate the solution into a simulator with a pico projector as opposed to mounting in a car.
Implementing Eye Tracking for Medical, Automotive, and Headset Applications," a Presentation From Xilinx and EyeTech Digital Systems
When humans communicate with each other, we get important cues from watching each other’s eyes. Similarly, machines can gain valuable information and new capabilities by detecting and tracking users’ gazes.