Methods for Person Recognition and Abnormal Gait Detection Using Tri-axial Accelerometer and Gyroscope

He Guan-Wei, Lin Min-Hsuan, Ching Yu-Tai

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

This work reports methods to identify a person from gaits as well as identifying anomaly of gaits using 'Koala'. Koala, that was developed in National Chiao Tung University, Hsinchu, Taiwan, consists of an accelerometer and a gyroscope, and support Bluetooth communication. A gait is segmented from the signals acquired by Koala. Features extracted from the signals were used to identify a person. If a person can be defined by gait, the normal gait of a person should be able to be identified. In this work, we designed a method to detect abnormal gaits. If a practical wearable device available, the presented method can be applied to early detection of diseases, for example, an early stroke.

原文English
主出版物標題Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
編輯Fernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1691-1694
頁數4
ISBN(電子)9781538626528
DOIs
出版狀態Published - 4 12月 2018
事件2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, 美國
持續時間: 14 12月 201716 12月 2017

出版系列

名字Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017

Conference

Conference2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017
國家/地區美國
城市Las Vegas
期間14/12/1716/12/17

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