Characterizing eye gaze and mental workload for assistive device control.

Eye gaze tracking is increasingly popular due to improved technology and availability. In the domain of assistive device control, however, eye gaze tracking is often used in discrete ways (e.g.

Characterizing Eye Gaze for Assistive Device Control.

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 individualized characterization for eye gaze interface use.

Control Interface Remapping for Bias-Aware Assistive Teleoperation.

Users of assistive devices vary in their extent of motor impairment, and hence their physical interaction with control interfaces can differ. There is the potential for improved utility if control interface actuation is mapped to assistive device control signals in a manner customized to each user. In this paper, we present (1) a method for creating a custom interface to assistive device control mapping based on the design of a user's bias profile, (2) a procedure and virtual task for gathering interface actuation data from which to build the bias profile and map, and (3) an evaluation of our method on 6 participants with upper limb motor impairments.