Cross-Platform Gait Analysis and Fall Detection Wearable Device

被引：0
|
作者：
Chang, Ming-Hung [1 ]
Wu, Yi-Chao [2 ]
Niu, Hsi-Yu [3 ]
Chen, Yi-Ting [4 ]
Juang, Shu-Han [5 ]
机构：
[1] Lunghwa Univ Sci & Technol, Dept Elect Engn, Taoyuan 333326, Taiwan
[2] Natl Yunlin Univ Sci & Technol, Dept Elect Engn, Yunlin 540301, Taiwan
[3] Natl Kaohsiung Univ Sci & Technol, Dept Elect Engn, Kaohsiung 807618, Taiwan
[4] Natl Taiwan Ocean Univ, Dept Comp Sci & Engn, Keelung 202301, Taiwan
[5] Natl Taipei Univ Technol, Inst Mat Sci & Engn, Taipei 106344, Taiwan
来源：
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 05期
关键词：
gait analysis; fall detection; wearable device; cross-platform; Institutional Review Board;
D O I：
10.3390/app13053299
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
Since the fall was often occurred in elders daily, this paper focused on gait analysis with fall detection to develop a wearable device. To ensure that the mobile application, APP, could be used in different platform of mobile phone, such Android or iOS, the designed wearable device also could be used in cross-platform in mobile phone. Therefore, a cross-platform gait analysis and fall detection wearable device (CPGAFDWD) was proposed. Since CPGAFDWD APP was used in web browser without limiting to platform, it could be used for different platforms of mobile phone. The gait analysis could be detected at home. The fall detection also could be executed in any place immediately. The patients and medical staff all could query the status of rehabilitation in any place and any time via the Internet. The experimental results showed that the correct rate of gait analysis and fall detection could be up to 90% in cross-platform of mobile phone. In the future, CPGAFDWD will be planned to be verified by Institutional Review Board, IRB, for clinical treatment.
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页数：15
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