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논문검색

A Novel Fall Activity Recognition Method for Wireless Sensor Networks

초록

영어

Healthcare targeted for home activity is playing an important role in our daily lives as the number of elderly person is increasing sharply. Researches pointed out that one third of 65-and-over aged person fall per-year. Some detection related work made use of accelerometers or gyroscopes, some use passive infrared or acoustic sensors. But there were some false alarms. Falls can be an unpredicted and dangerous event. A system based on wireless sensor networks to detect the falls for old and resident was proposed in this paper. We provided a method to minimize the false alarm rate of fall detection as well. Besides, we can detect falls that did not trigger the alarm which was intervened by outside forces.

목차

Abstract
 1. Introduction
 2. Related Work
 3. System Model
 4. Our Algorithm
 5. Performance Evaluation
 6. Conclusions
 Acknowledgements
 References

저자정보

  • Jin Wang School of computer & software, Nanjing University of information science & technology
  • Zhongqi Zhang School of computer & software, Nanjing University of information science & technology
  • Yuhui Zheng School of computer & software, Nanjing University of information science & technology
  • Menglin Wu College of Electronics and Information Engineering, Nanjing University of Technology
  • Jeong-Uk Kim Dept. of Energy Grid, Sangmyung University

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