期刊论文

Jia, Jie

英文

Soft Computing

1432-7643

2019

23

19

9287-9297

10.1007/s00500-018-3609-8

Shanghai municipal commission of health and family planning key developing discipline [4122015ZB0401]; Natural Science Foundation of Hunan Province, ChinaNatural Science Foundation of Hunan Province [2018JJ2023]; Natural Science Foundation of Shanghai (CN) [14ZR1429800, 15ZR1430000]; Ministry of Education of the People's Republic of ChinaMinistry of Education, China [EIA140412]

本校为其他机构

This paper presents the development of wearable sensing system that can be used to study the gait dynamics of human. A tester wearing sensing shoes participates in this study. Human gait information about standing, jumping and walking is obtained as prior probability based on the train movement model setup theory. For feature extraction of gait, five kinds of features are extracted from foot pressure signals, which are subsequently used for motion analysis. We employ support vector machine and fractal analysis for gait recognition and test the identification performance. Testing outcomes indic...