title: A body-machine interface for the control of a 2D cursor.
abstract: This paper develops a body-machine interface for the control of a powered wheelchair using upper-body motion. Our goal was to infer a cursor's kinematics from the signals recorded from 4 Inertial Measurement Units placed on a subject's shoulders. We specified a Kalman filter measurement model that assumes the Euler angles, angular velocities, and linear accelerations of the shoulders are a stochastic linear function of the position, velocity, and acceleration of the virtual cursor. This model learned a system that encodes cursor movement along with training data. Experimental results show that taking advantage of the redundancy of the signal improves performance during a center-out reaching task. The resulting algorithm provides a platform for people with high-tetraplegia to communicate their intended motor actions with the environment using specialized assistive devices.
authors.forename: Ismael
authors.initials: I
authors.lastname: Seáñez
authors.forename: Ferdinando A
authors.initials: FA
authors.lastname: Mussa-Ivaldi
mesh_terms: D000293:Adolescent; D000328:Adult; D000465:Algorithms; D003143:Communication Devices for People with Disabilities; D005260:Female; D005403:Fixation, Ocular; D006801:Humans; D008297:Male; D011597:Psychomotor Performance / Q000502:physiology; D011782:Quadriplegia / Q000534:rehabilitation*; D014584:User-Computer Interface; D055815:Young Adult