| In recent years, with the rapid development of Internet industry, along with the rising popularity of wireless intelligent terminal and WLAN, a large number of location-based services(LBS) and behavior detection application arise at the historic moment. However, the existing human body detection method and positioning technology have many deficiencies, these weaknesses make them not being applied to our daily life. And the passive motivation body detection and location services create lots of conditions for a wide variety of applications, this paper make use of the phenomenon that the existence of people is able to change the propagation path of the wireless signal, and design the motivation detection system, which can be applied in multiple scenarios.The system in our paper is a kind of passive type human body detection, the tested people do not need to carry any equipment, even if the mobile phone, which is easy to use and saves a lot of manpower and material resources.First of all, in this paper, we analyze and compare the existing motivation detection methods and the wireless indoor positioning technology, summarizing the advantages and disadvantages of them.Secondly, this paper analyzes the characteristic of the existing wireless environment, makes comparison of the RSSI, the most popular wireless signal power characteristics, with CSI from the physical layer of Wi-Fi, and finally chooses the CSI information as characterization of wireless environment.Thirdly, we adapt the wavelet low-pass filter to remove the signal in high frequency. In this way, the origin wave form of the signal itself retains to the maximum extent, the detection accuracy improves, and the rate of false negative results reduces. These make our monitor system reliable.At last, we collect the CSI on the Linux system, both in the laboratory of complicated multipath environment and the empty conference room respectively. According to the experimental results, the detection precision of the system is up to 93%. |
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