Motion-Pattern Recognition System Using a Wavelet-Neural Network

【Author】 Yang, Wen-Ren; Wang, Chau-Shing; Chen, Chien-Pu

【Source】IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

【影响因子】4.414

【Abstract】This paper presents a wavelet-neural network recognition system for personal fitness assistance and elderly daily activity monitoring applications. This discrete wavelet transform radial basis neural network (DWT-RBNN) analyzes vibration induced by human motions, and identifies motion status automatically. The 3-D vibration signals are measured by integrated accelerometer chip, and then DWT extracts vibration features. Local energy of extracted feature is calculated and used by RBNN. A multi-channel RBNN is designed and used for recognition. The computation burden is reduced because of the DWT pre-processing. From experiment results, RBNN shows successful recognition capability. This paper also presents flow diagram to determine engineering parameters for the present and future product developments.

【Keywords】Discrete wavelet transform; artificial neural network; motion recognition; vibration

【发表时间】2019 MAY

【收录时间】2022-01-02

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