Cornell University has developed a groundbreaking technology that allows for tracking gaze and expressions without the need for cameras. This innovative approach utilizes sonar-like techniques to observe subtle changes in facial muscles, enabling the tracking of eye movements and facial expressions.
The technology, known as GazeTrak and EyeEcho, offers a non-intrusive way to monitor user interactions in virtual reality (VR) environments. GazeTrak employs a setup with a small speaker and four microphones placed around each eye frame of glasses to bounce sound off the eyeball and capture echoes. An artificial intelligence system processes the data to determine the user's gaze direction.
