Data Glove Embedded with 6-DOF Inertial Sensors for Hand Rehabilitation
Bor-Shing Lin, I Jung Lee, Pei-Chi Hsiao, Shu Yu Yang, Willy Chou · 2014
A hand injury can have great impact on a person's daily life. However, the current manual evaluations of hand functions are imprecise and inconvenient. In this research, a data glove embedded with 6-axis inertial sensors is proposed. With the proposed angle calculating algorithm, accurate bending angles are measured to estimate the real-time movements of hands. This proposed system can provide physicians with an efficient tool to evaluate the recovery of patients and improve the quality of hand rehabilitation.