Walking intrusion signal recognition method based on gait characteristic for fiber fence system

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Abstract
A recognition method based on the gait characteristic for walking intrusion signal of a fiber fence system is presented, which can reduce the rate of false alarm. The gait characteristic of human is mainly embodied in an intermittent and quasi‐periodic contact with the floor when he walks. It can be expressed in terms of step period and foot‐strike time. They are, on average, about 0.63 s and 0.2 s for a normal walker in the nature state, respectively. According this intermittent and quasi‐periodic feature and local characteristic gait times imbedded in a fiber fence system output waveform, a disturbance source can be adjudged as a human intrusion, not as an animal or other random one. Two types of experimental results show that the proposed method is effective and universal for different systems and races. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52:2381–2384, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25437
Funding Information
  • Innovation Program of Shanghai Municipal Education Commission (10YZ19), Shanghai Leading Academic Discipline STCSM (S30108, 08DZ2231100)
  • National Natural Science Foundation of China (60577042)

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