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arXiv · 1107.4414

Frequency based Classification of Activities using Accelerometer Data

Annapurna Sharma·Amit Purwar·Young-Dong Lee Young-Sook Lee Wan-Young Chung
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Abstract

This work presents, the classification of user activities such as Rest, Walk and Run, on the basis of frequency component present in the acceleration data in a wireless sensor network environment. As the frequencies of the above mentioned activities differ slightly for different person, so it gives a more accurate result. The algorithm uses just one parameter i.e. the frequency of the body acceleration data of the three axes for classifying the activities in a set of data. The algorithm includes a normalization step and hence there is no need to set a different value of threshold value for magnitude for different test person. The classification is automatic and done on a block by block basis.

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BibTeXRIS

Annapurna Sharma, Amit Purwar, Young-Dong Lee Young-Sook Lee Wan-Young Chung. 2011-07-22. Frequency based Classification of Activities using Accelerometer Data. https://doi.org/10.1109/mfi.2008.4648056

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