Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

An Activity Recognition Algorithm Based on Energy Expenditure Model

Authors
Yuhuang Zheng
Corresponding Author
Yuhuang Zheng
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.193How to use a DOI?
Keywords
Energy Expenditure; Fast Fourier Transform (FFT); Discrete Wavelet Transform (DWT); triaxial accelerometer
Abstract
Human activity recognition via triaxial accelerometers can provide valuable information to evaluate functional abilities. In this paper, we present an accelerometer sensor-based approach for human activity recognition. Our proposed recognition method uses a model of Activity Energy Expenditure to recognize six activities. The classifier utilizes Fast Fourier transform (FFT) and Discrete Wavelet Transform (DWT) algorithms to get energy expenditures of different activities. Every activity is recognized by the max amplitude and its frequency, 1-D decomposition energy of triaxial accelerometer signals. This activity recognition method can recognize six activities with an average accuracy of 90% using only a single triaxial.
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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.193How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yuhuang Zheng
PY  - 2015/04
DA  - 2015/04
TI  - An Activity Recognition Algorithm Based on Energy Expenditure Model
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 995
EP  - 998
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.193
DO  - https://doi.org/10.2991/icmra-15.2015.193
ID  - Zheng2015/04
ER  -