Regression Methods for Gait Analysis

• Main Authors: Lin, Wei-Ching, 林瑋青
• Other Authors: Sang, Tzu-Hsien
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/w82363

碩士 === 國立交通大學 === 電子研究所 === 107 === The traditional gait analysis method needs to be established under the premise of having a dynamic camera, so it is vulnerable to environmental limitations. The Inertial Measurement Unit (IMU) used in this paper can break through the site restrictions, and is not limited to indoor or outdoor. It is small in size and convenient to carry. Through this feature I can develop a set of algorithms that can analyze the wearer's gait anytime, anywhere. The data was collected using the IMU attached to the instep to measure the acceleration and angular velocity of the subject while walking, going up and down the stairs. The stride length and stride height were calculated by the algorithm. The walking is divided into marking points (about 80 cm in one step) and free walking (without marking points). A stair is about 15 cm. The subjects were 11 healthy men.