Characterizing Eye Gaze for Assistive Device Control
Published in International Conference on Rehabilitation Robotics 2023, Singapore, 2023
Recommended citation: Loke, L. Y. C., Barsoum, D., Murphey, T., & Argall, B. (2023, September). Characterizing Eye Gaze for Assistive Device Control. To appear in the 2023 International Conference on Rehabilitation Robotics (ICORR). IEEE.
Abstract
Eye gaze tracking is increasingly popular due to improved technology and availability. However, in assistive device control, eye gaze tracking is often limited to discrete control inputs. In this paper, we present a method for collecting both reactionary and control eye gaze signals to build an indi- vidualized characterization for eye gaze interface use. Results from a study conducted with motor-impaired participants are presented, offering insights into maximizing the potential of eye gaze for assistive device control. These findings can inform the development of continuous control paradigms using eye gaze.