The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Comprehensible Model of a Quasi-periodic Signal
ISDA '09 Proceedings of the 2009 Ninth International Conference on Intelligent Systems Design and Applications
| Hi-index | 0.00 |
Gait sensing by means of accelerometers yields quasi-periodic signals that can be analyzed in order to extract useful information. This paper introduces a method based on a Fuzzy Finite State Machine with temporary restrictions for tracking and recognizing the different states of human walking. Such operation is a mandatory task prior to perform a subsequent analysis on gait quality. Besides, the method described here allows to achieve this recognition when the sensing device, i.e. a smartphone, is being carried by the user in arbitrary orientations related to his/her body's natural axes.