Data glove embedded with 9-axis IMU and force sensing sensors for evaluation of hand function
Pei-Chi Hsiao, Shuyu Yang, Bor-Shing Lin, I‐Jung Lee, Willy Chou · 2015
A hand injury can greatly affect a person's daily life. Physicians must evaluate the state of recovery of a patient's injured hand. However, current manual evaluations of hand functions are imprecise and inconvenient. In this paper, a data glove embedded with 9-axis inertial sensors and force sensitive resistors is proposed. The proposed data glove system enables hand movement to be tracked in real-time. In addition, the system can be used to obtain useful parameters for physicians, is an efficient tool for evaluating the hand function of patients, and can improve the quality of hand rehabilitation.