Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
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Enhancement of Fall-Detection Rate using Frequency Spectrum Pattern Matching

  • Lee, Suhwan (Department of ICT Convergence Rehabilitation Engineering, Soonchunhyang University) ;
  • Oh, Dongik (Department of Medical IT Engineering, Soonchunhyang University) ;
  • Nam, Yunyoung (Department of Computer Science and Engineering, Soonchunhyang University)
  • Received : 2017.03.27
  • Accepted : 2017.04.05
  • Published : 2017.06.30
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Abstract

To the elderly, sudden falls are one of the most frightening accidents. If an accident occurs, a prompt action has to be taken to deal with the situation. Recently, there have been a number of attempts to detect sudden falls using acceleration sensors embedded in the mobile devices, such as smart phones and wrist-bands. However, using the sensor readings only, the detection rate of the falls is around 65%. Ordinary daily activities such as running or jumping could not be well distinguished from the falls. In this paper, we describe our attempts on improving the fall-detection rate. We implemented a wrist-band fall detection module, using a three-axis acceleration sensor. With the pattern matching on the fall signal-strength frequency spectrum, in addition to the conventional signal strength measurement, we could improve the detection rate by 9% point. Furthermore, by applying two wrist-bands in the experiment, we could further improve the detection rate to 82%.

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References

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