| Issue |
MATEC Web of Conferences
Volume 42, 2016
2015 The 3rd International Conference on Control, Mechatronics and Automation (ICCMA 2015)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 4 | |
| Section | Electronic application technologies | |
| DOI | https://doi.org/10.1051/matecconf/20164202004 | |
| Published online | 17 February 2016 | |
Mobile Phone Based Falling Detection Sensor and Computer-Aided Algorithm for Elderly People
Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, South Korea
a Corresponding author: segeberg@kmu.ac.kr
Falls are dangerous for the elderly population; therefore many fall detection systems have been developed. However, previous methods are bulky for elderly people or only use a single sensor to isolate falls from daily living activities, which makes a fall difficult to distinguish. In this paper, we present a cost-effective and easy-to-use portable fall-detection sensor and algorithm. Specifically, to detect human falls, we used a three-axis accelerator and a three-axis gyroscope in a mobile phone. We used the Fourier descriptor-based frequency analysis method to classify both normal and falling status. From the experimental results, the proposed method detects falling status with 96.14% accuracy.
© Owned by the authors, published by EDP Sciences, 2016
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