@inproceedings{848a0c75a292482f98b2380f96e2d470,
title = "Frequency analysis of fall detection based on Android system",
abstract = "In order to solve a hot issue about the elderly fall, this paper designs a software algorithm system based on the frequency analysis. This software can judge whether the elderly fall down, so as to take subsequent rescue measures. The paper carries on the analysis from the frequency domain. By using the acceleration sensor to get the information of human body state continuously and with the aid of subsection processing, the software can determine whether the body is in a state of fall. The core of the frequency domain analysis method is to add window to data and use STFT. Because of the particularity of acceleration frequency in the process of the fall, the algorithm can be more accurate to judge whether the elderly fall down.",
keywords = "STFT, fall detection, the frequency analysis",
author = "Siwei Li and Ruirui Yin and Jiang Yu and Yanchao Qiu and Hai Li",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2016 ; Conference date: 17-06-2016 Through 19-06-2016",
year = "2016",
month = oct,
day = "12",
doi = "10.1109/ICEIEC.2016.7589716",
language = "English",
series = "ICEIEC 2016 - Proceedings of 2016 IEEE 6th International Conference on Electronics Information and Emergency Communication",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "186--189",
editor = "Vincent Tam and Li Wenzheng",
booktitle = "ICEIEC 2016 - Proceedings of 2016 IEEE 6th International Conference on Electronics Information and Emergency Communication",
address = "United States",
}