Design of Inertial Sensor-based Data Glove for Hand Function Evaluation

• Main Authors: Yi-Chiang Lo, 羅益強
• Other Authors: Jung-hsi Lee
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/8ez22s

碩士 === 元智大學 === 電機工程學系 === 105 === In daily life, people interact with the world through their hands, and create necessary objects using smart hands. Along with technologies being changed every day, data gloves have been widely used in virtual reality, man-machine interface and medical rehabilitation, and different forms of data gloves have also been developed. In this research, an IMU sensor is used to collect static and dynamic parameters of hands accompanying with AHRS (attitude and heading reference system, AHRS) algorithm to calculate the parameters of a hand function. Furthermore, in order to make low-cost, easy-to-wear and high-reliability data gloves, the design of the mechanism and the integration of the system are also considered. Moreover, modular design of the hardware and software let data gloves be easily applied in different areas.