Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

Fall Detection Algorithm for the Elderly Based on Trial Acceleration and Heart Rate

Authors
Weibin Meng, Chenchao Wang, Haoyang Li, Meichen Ji
Corresponding Author
Weibin Meng
Available Online November 2015.
DOI
10.2991/icmmita-15.2015.29How to use a DOI?
Keywords
the elderly; gesture detection; heart rate.
Abstract

The paper introduces a method of judging the gesture according to triaxial acceleration data and heart rate data. The acceleration transducer is used to collect the triaxial acceleration data, and some experimental data is selected as training data. The collected data is classified according to KNN algorithm, and benchmark data is designed in each classification. The feature of falling data is achieved by comparing gesture data. For application, the matching algorithm should be designed, and the similarity degree with benchmark data should be computed. Lastly, the heart rate is used for judgment and is weighted to get the matching results.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
10.2991/icmmita-15.2015.29
ISSN
2352-538X
DOI
10.2991/icmmita-15.2015.29How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Weibin Meng
AU  - Chenchao Wang
AU  - Haoyang Li
AU  - Meichen Ji
PY  - 2015/11
DA  - 2015/11
TI  - Fall Detection Algorithm for the Elderly Based on Trial Acceleration and Heart Rate
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 137
EP  - 142
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.29
DO  - 10.2991/icmmita-15.2015.29
ID  - Meng2015/11
ER  -