Recognizing human motion with multiple acceleration sensors

Jani Mäntyjärvi; Johan Himberg; Tapio Seppänen

doi:10.1109/ICSMC.2001.973004

Recognizing human motion with multiple acceleration sensors

Jani Mäntyjärvi, Johan Himberg, Tapio Seppänen

Not published at VTT

Research output: Contribution to journal › Article › Scientific › peer-review

124 Citations (Scopus)

Abstract

In this paper experiments with acceleration sensors are described for human activity recognition of a wearable device user. The use of principal component analysis and independent component analysis with wavelet transform is tested for feature generation. Recognition of the human activity is examined with multilayer perceptron classifier. Best classification results for recognition of different human motions were 83-90%, and they were achieved by utilizing independent component analysis and principal component analysis. Difference between these methods turned out to be negligible.

Original language	English
Pages (from-to)	747-752
Number of pages	6
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	2
DOIs	https://doi.org/10.1109/ICSMC.2001.973004
Publication status	Published - 1 Jan 2001
MoE publication type	A1 Journal article-refereed

Keywords

Accelerometer
Independent component analysis
Movement recognition
Principal component analysis
Wearable computing

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10.1109/ICSMC.2001.973004

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KW - Principal component analysis

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Recognizing human motion with multiple acceleration sensors

Abstract

Keywords

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