International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Development of wearable devices and mobile apps for fall detection and health management

  • Tae-Seung Ko (Department of Telecommunication Eng., Jeju National Univ.) ;
  • Byeong-Joo Kim (Department of Telecommunication Eng., Jeju National Univ.) ;
  • Jeong-Woo Jwa (Department of Telecommunication Eng., Jeju National Univ.)
  • Received : 2023.02.16
  • Accepted : 2023.03.13
  • Published : 2023.03.31
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Abstract

As we enter a super-aged society, studies are being conducted to reduce complications and deaths caused by falls in elderly adults. Research is being conducted on interventions for preventing falls in the elderly, wearable devices for detecting falls, and methods for improving the performance of fall detection algorithms. Wearable devices for detecting falls of the elderly generally use gyro sensors. In addition, to improve the performance of the fall detection algorithm, an artificial intelligence algorithm is applied to the x, y, z coordinate data collected from the gyro sensor. In this paper, we develop a wearable device that uses a gyro sensor, body temperature, and heart rate sensor for health management as well as fall detection for the elderly. In addition, we develop a fall detection and health management system that works with wearable devices and a guardian's mobile app to improve the performance of the fall detection algorithm and provide health information to guardians.

Keywords

Acknowledgement

This research was also supported by the 2022 scientific promotion program funded by Jeju National University.

References

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