Earticle

초록

영어

Fall detection is an important problem in the application research of wireless sensor. The paper presents wireless sensor architecture based human falling detection system especially for elderly people. The falling detection system is implemented using 3-axis acceleration sensor to measures and collects the elderly people activities acceleration and transfer data by zigbee-3G network to remote medical monitoring system platform, which makes a pre-processing method that suspected data is acquired based on one -class SVM classification algorithm. The algorithm analyzed different action which expended different threshold ranges of energy to judgment, and then analyzed the special temporal speed, displacement and angle as an auxiliary criterion for judgment. The experiments show that the application can offer a new guarantee for the elderly health.

목차

Abstract
 1. Introduction
 2. The Design of the Falling Detection Module
  2.1. The Overall Structure
  2.2. The Zigbee Network
  2.3. The 3-axis Acceleration Sensor
  2.4. Signal Preprocessing
 3. The Falling Detection Algorithm
  3.1. The Establishment of the Action Model
  3.2. The Algorithm Design
 4. Experiments and Result Analysis
 5. Conclusions
 References

키워드

저자

• Zhenhe Ye [ College of Mechanical and Electrical Engineering, Agricultural University of HeBei, Baoding, HeBei, 071000, China ]
• Ying Li [ College of Arts, Hebei Normal University of Science & Technology, Qinhuangdao, 066000, China ]
• Qiaoxiang Zhao [ College of Arts, Hebei Normal University of Science & Technology, Qinhuangdao, 066000, China ]
• Xue Liu [ School of Computer Science, Harbin University of Science and Technology, Harbin, HeiLongJiang, 150080, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605