SIGACCESS

WheelPoser: Sparse-IMU Based Body Pose Estimation for Wheelchair Users Author(s):                 •              Yunzhi Li, Carnegie Mellon University                 •              Vimal Mollyn, Carnegie Mellon University                 •              Kuang Yuan, Carnegie Mellon University                 •              Patrick Carrington, Carnegie Mellon University Abstract Despite researchers having extensively studied various ways to track body pose on-the-go, most prior work does not take into account wheelchair users, leading to poor tracking performance. Wheelchair users could greatly benefit from this pose information …