Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Implementation of a Falls Recognition System Using Acceleration and Angular Velocity Signals

가속도 및 각속도 신호를 이용한 낙상 인지 시스템 구현

  • Park, Geun-Chul (Department of Interdisciplinary program in Biomedical Engineering, School of Medicine, Pusan National University) ;
  • Jeon, A-Young (Department of Interdisciplinary program in Biomedical Engineering, School of Medicine, Pusan National University) ;
  • Lee, Sang-Hoon (Department of Interdisciplinary program in Biomedical Engineering, School of Medicine, Pusan National University) ;
  • Son, Jung-Man (Department of Interdisciplinary program in Biomedical Engineering, School of Medicine, Pusan National University) ;
  • Kim, Myoung-Chul (TSTI ENG) ;
  • Jeon, Gye-Rok (Department of Biomedical Engineering, School of Medicine, Pusan National University)
  • 박근철 (부산대학교 의공학협동과정) ;
  • 전아영 (부산대학교 의공학협동과정) ;
  • 이상훈 (부산대학교 의공학협동과정) ;
  • 손정만 (부산대학교 의공학협동과정) ;
  • 김명철 (티에스티아이 이엔지(주)) ;
  • 전계록 (부산대학교 의공학교실)
  • Received : 2012.11.27
  • Accepted : 2012.12.22
  • Published : 2013.01.31
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Abstract

In this study, we developed a falling recognition system to transmit SMS data through CDMA communication using a three axises acceleration sensor and a two axises gyro sensor. 5 healthy men were selected into a control group, and the fall recognition system using the three axises acceleration sensor and the two axises gyro sensor was devised to conduct an experiment. The system was attached to the upper of their sternum. According to the experiment protocol, the experiment was carried out 3 times repeatedly divided into 3 specific protocols: falling during gait, falling in stopped state, and falling in everyday life. Data obtained in the falling recognition system and LabVIEW 8.5 were used to decide if falling corresponds to that regulated in an analysis program applying an algorithm proposed in this study. In addition, results from falling recognition were transmitted to designated cellular phone in a SMS (Shot Message Service) form. These research results show that an erroneous detection rate of falling reached 19% in applying an acceleration signal only; 6% in applying an angular velocity; and 2% in applying a proposed algorithm. Such finding suggests that an erroneous detection rate of falling is improved when the proposed algorithm is applied incorporated with acceleration and angular velocity. In this study therefore, we proposed that a falling recognition system implemented in this study can make a contribution to the recognition of falling of the aged or the disabled.

Keywords

References

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