Virtual TaiChi System, an Innovative Rehabilitation Modality

Yu Liang, Zibin Guo, Dalei Wu, Nancy Fell, Amanda Clark
University of Tennessee at Chattanooga, Tennessee, United States

Keywords: Rehabilitation, Big data and deep learning, sensor and actuator, biomechanics and kinetic analysis, augmented reality

To benefit the veterans who suffer from physiological and psychological illness, this work intends to develop an interactive, four dimensional (X-Y-Z plus somatosensation), partial control, and “Avatar-like” virtual TaiChi intelligent rehabilitation system (VTCS). VTCS integrates Tai-Chi (a traditional mind-body wellness and healing art) with a series of cutting-edge computer technologies including 4D sensor/actuator, big-data, signal processing and analysis, biomechanics, machine learning, and virtual reality, etc. VTCS will generate a controllable and consistent “Avatar” experience making Tai-Chi movements suitable to individuals who suffer from mobility disability due to diseases or injuries as an accessible rehabilitation and fitness modality. The physiological and psychological benefits brought about by VTCS will be critically assessed.