Intelligent clothing for automated recognition of human physical activities in free-living environment
Journal article
Wu, Yuchuan, Chen, Ronghua, Wang, Jin, Sun, Xiangping and She, Mary F. H.. (2012). Intelligent clothing for automated recognition of human physical activities in free-living environment. Journal of the Textile Institute. 103(8), pp. 806 - 816. https://doi.org/10.1080/00405000.2011.611641
Authors | Wu, Yuchuan, Chen, Ronghua, Wang, Jin, Sun, Xiangping and She, Mary F. H. |
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Abstract | 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. |
Keywords | wearable; acceleration; signal; discrete wavelet transform |
Year | 2012 |
Journal | Journal of the Textile Institute |
Journal citation | 103 (8), pp. 806 - 816 |
Publisher | Textile Institute |
ISSN | 0040-5000 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/00405000.2011.611641 |
Scopus EID | 2-s2.0-84863843687 |
Page range | 806 - 816 |
Research Group | Institute for Learning Sciences and Teacher Education (ILSTE) |
Publisher's version | File Access Level Controlled |
Place of publication | United Kingdom |
https://acuresearchbank.acu.edu.au/item/86402/intelligent-clothing-for-automated-recognition-of-human-physical-activities-in-free-living-environment
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