Fall Detection Algorithm for the Elderly Based on Trial Acceleration and Heart Rate
- https://doi.org/10.2991/icmmita-15.2015.29How to use a DOI?
- the elderly; gesture detection; heart rate.
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.
- © 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 - https://doi.org/10.2991/icmmita-15.2015.29 ID - Meng2015/11 ER -