Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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The Study of Realtime Fall Detection System with Accelerometer and Tilt Sensor

가속도센서와 기울기센서를 이용한 실시간 낙상 감지 시스템에 관한 연구

  • Kim, Seong-Hyun (Center for Healthcare Technology Development, Chonbuk National Univ.) ;
  • Park, Jin (Department of healthcare Engineering, Graduate School, Chonbuk National Univ.) ;
  • Kim, Dong-Wook (Division of Biomedical Engineering, Chonbuk National Univ.) ;
  • Kim, Nam-Gyun (Research Center of Color Seven)
  • 김성현 (전북대학교 헬스케어기술개발사업단) ;
  • 박진 (전북대학교 대학원 헬스케어공학과) ;
  • 김동욱 (전북대학교 공과대학 바이오메디컬공학부) ;
  • 김남균 (주식회사 칼라세븐 연구소)
  • Received : 2010.04.19
  • Accepted : 2011.08.02
  • Published : 2011.11.01
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Abstract

Social activities of the elderly have been increasing as our society progresses toward an aging society. As their activities increase, so does the occurrence of falls that could lead to fractures. Falls are serious health hazards to the elderly. Therefore, development of a device that can detect fall accidents and prevent fracture is essential. In this study, we developed a portable fall detection system for the fracture prevention system of the elderly. The device is intended to detect a fall and activate a second device such as an air bag deployment system that can prevent fracture. The fall detection device contains a 3-axis acceleration sensor and two 2-axis tilt sensors. We measured acceleration and tilt angle of body during fall and activities of daily(ADL) living using the fall detection device that is attached on the subjects'. Moving mattress which is actuated by a pneumatic system was used in fall experiments and it could provide forced falls. Sensor data during fall and ADL were sent to computer and filtered with low-pass filter. The developed fall detection device was successful in detecting a fall about 0.1 second before a severe impact to occur and detecting the direction of the fall to provide enough time and information for the fracture preventive device to be activated. The fall detection device was also able to differentiate fall from ADL such as walking, sitting down, standing up, lying down, and running.

Keywords

References

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