WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Users

arXiv:2404.17063v1 Announce Type: cross
Abstract: Existing pose estimation models perform poorly on wheelchair users due to a lack of representation in training data. We present a data synthesis pipeline to address this disparity in data collection and subsequently improve pose estimation performance for wheelchair users. Our configurable pipeline generates synthetic data of wheelchair users using motion capture data and motion generation outputs simulated in the Unity game engine. We validated our pipeline by conducting a human evaluation, investigating perceived realism, …

abstract arxiv collection cs.cv cs.hc data data collection performance pipeline representation synthesis training training data type