Earticle

초록

영어

This paper demonstrates on the problem of device-free multiple people daily activity recognition, which is very crucial for human computer interaction. The main idea of this paper lies in that we introduce channel state information of Wi-Fi signals to recognize multiple people daily activity. Channel state information is used in the receiver end to analyze features of a communication channel to detect tampering through the transmitter. In order to alleviate the negative influence of radio frequency interference, we define window size to build up vectors of Channel state information. Afterwards, the proposed device-free multiple people daily activity recognition method is implemented by solving the sparse representation classification problem using minimization. To testify the effectiveness of the proposed method, we set the experiment setting with a bedroom and a living room; moreover, two persons and a cat are set in this experiment. Experiments results show that proposed device-free multiple people daily activity recognition method is able to promote activity recognition accuracy under different experiment settings.

목차

Abstract
 1. Introduction
 2. Overview of Channel State Information
 3. Device-free Multiple People Daily Activity Recognition Method
 4. Experiment
 5. Conclusion
 References

키워드

저자

• Mohammed Abdulaziz Aide Al-qaness [ Key Laboratory of Fiber Optical Sensing Technology and Information Processing, Ministry of Education, Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network, Wuhan University of Technology, Wuhan, 430070, China ]
• Fangmin Li [ Key Laboratory of Fiber Optical Sensing Technology and Information Processing, Ministry of Education, Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network, Wuhan University of Technology, Wuhan, 430070, 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