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Intelligent clothing for automated recognition of human physical activities in free-living environment

Wu, Yuchuan, Chen, Ronghua, Wang, Jin, Sun, Xiangping and She, Mary F. H. 2011, Intelligent clothing for automated recognition of human physical activities in free-living environment, Textile institute. journal, pp. 1-11.

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Title Intelligent clothing for automated recognition of human physical activities in free-living environment
Author(s) Wu, Yuchuan
Chen, Ronghua
Wang, Jin
Sun, Xiangping
She, Mary F. H.
Journal name Textile institute. journal
Start page 1
End page 11
Publisher Routledge
Place of publication Abingdon, U. K.
Publication date 2011-11-01
ISSN 0040-5000
1754-2340
Keyword(s) wearable
acceleration
signal
discrete wavelet transform
Summary This paper presents an intelligent clothing framework for human daily activity recognition using a single waist-worn tri-axial accelerometer sensor coupled with a robust pattern recognition system. The activity recognition algorithm is realized to distinguish six different physical activities through three major steps: acceleration signal collection/pre-processing, wavelet-based principle component analysis, and a support vector machine classifier. The proposed activity recognition method has been experimentally validated through two batches of trials with an overall mean classification accuracy of 95.25 and 94.87%, respectively. These results suggest that the intelligent clothing is not only able to learn the activity patterns but also capable of generalizing new data from both known and unknown subjects. This enables the proposed intelligent clothing to be applied in a comfortable and in situ assessment of human physical activities, which would open up new market segments to the textile industry.
Notes Published online 1st November 2011 as iFirst article
Language eng
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 861604 Integrated Systems
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2011, The Textile Institute.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30040555

Document type: Journal Article
Collection: Centre for Material and Fibre Innovation
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