A Novel Method for Abnormal Gait Detection Using 3-axis Accelerometer and Gyroscope

• Main Authors: Lin,Min-Hsuan, 林旻萱
• Other Authors: Ching,Yu-Tai
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/89376y

碩士 === 國立交通大學 === 生醫工程研究所 === 105 === This thesis presents a wearable device with an accelerometer and a gyroscope for detecting anomalies in human walking. First, the data is converted into a time-related feature. Then, we use this feature to calculate anomaly score and build a personal identification model.The accuracy can reach up to 93%. The experimental results show that the feature used in our thesis have personally identifiable information. In addition, the calculation of the anomaly scores takes into account the distribution of training data,so it has more flexibility than the Euclidean distance. For the future application, their own training data can be updated over time to be a valid identification of abnormal gait.