Microsoft has a recent history of gaze-tracking research. In a preprint paper published earlier this month, they detail their work on a system that achieves an error of 1.8073 centimeters on GazeCapture, an MIT corpus containing eye-tracking data from over 1,450 people, without calibration or fine-tuning. This challenge inspired a team of researchers at Microsoft to develop an ultra-precise, hardware-agnostic gaze tracker that works with any off-the-shelf webcam. Inexpensive software-based trackers, on the other hand, are often prone to lighting interference. Commercially available gaze trackers exist - they use specialized sensor assemblies - but they tend to be expensive, costing up to thousands of dollars. But estimating a person’s gaze isn’t a trivial task owing to variables including head pose, head position, eye rotation, distance, illumination, background noise, and the presence of glasses, face coverings, and assistive medical equipment. Gaze tracking has the potential to help people living with motor neuron diseases and disorders exert control over their environment and communicate with others. Hear from CIOs, CTOs, and other C-level and senior execs on data and AI strategies at the Future of Work Summit this January 12, 2022.
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