Exploiting the wireless RF fading for human activity recognition

This paper presents a new approach to include fading effects due to human in a wireless link and exploit it for activity recognition. It is proposed as a low-cost, low complexity solution for detecting human activity by considering fading characteristics of received signal strength (RSS) at 2.4GHz f...

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Main Authors: Sounith Orphomma, Nattapong Swangmuang
Format: Conference Proceeding
Published: 2018
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883066639&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/47657
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-476572018-04-25T08:42:29Z Exploiting the wireless RF fading for human activity recognition Sounith Orphomma Nattapong Swangmuang This paper presents a new approach to include fading effects due to human in a wireless link and exploit it for activity recognition. It is proposed as a low-cost, low complexity solution for detecting human activity by considering fading characteristics of received signal strength (RSS) at 2.4GHz frequency on commercial IEEE 802.11 devices. The RSS mean and the fluctuation analysis (FA) are two features extracted and used for developing a recognition procedure. To evaluate accuracy performance, RSS measurements from four human activity scenarios are performed at three different environments. Collected RSS data are used for the supervise-based activity recognition scheme proposed in this paper. From the experiment, this approach can achieve on average of 90% accuracy or higher in classifying four selected human activities at separation distance of 5m between a transmitter and a receiver. Recognition accuracy values at other environments/settings are slightly dropped due to the growth of possible unblocked multipaths, but the accuracy performance is still attained within acceptable level. The histograms or RSS distribution obtained from different human activity scenarios are also considered and analysed. Finally, the proposed approach provides decent accuracy outcomes and it demonstrates pertinence to be adopted in the future intelligent pervasive system. © 2013 IEEE. 2018-04-25T08:42:29Z 2018-04-25T08:42:29Z 2013-09-02 Conference Proceeding 2-s2.0-84883066639 10.1109/ECTICon.2013.6559521 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883066639&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/47657
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description This paper presents a new approach to include fading effects due to human in a wireless link and exploit it for activity recognition. It is proposed as a low-cost, low complexity solution for detecting human activity by considering fading characteristics of received signal strength (RSS) at 2.4GHz frequency on commercial IEEE 802.11 devices. The RSS mean and the fluctuation analysis (FA) are two features extracted and used for developing a recognition procedure. To evaluate accuracy performance, RSS measurements from four human activity scenarios are performed at three different environments. Collected RSS data are used for the supervise-based activity recognition scheme proposed in this paper. From the experiment, this approach can achieve on average of 90% accuracy or higher in classifying four selected human activities at separation distance of 5m between a transmitter and a receiver. Recognition accuracy values at other environments/settings are slightly dropped due to the growth of possible unblocked multipaths, but the accuracy performance is still attained within acceptable level. The histograms or RSS distribution obtained from different human activity scenarios are also considered and analysed. Finally, the proposed approach provides decent accuracy outcomes and it demonstrates pertinence to be adopted in the future intelligent pervasive system. © 2013 IEEE.
format Conference Proceeding
author Sounith Orphomma
Nattapong Swangmuang
spellingShingle Sounith Orphomma
Nattapong Swangmuang
Exploiting the wireless RF fading for human activity recognition
author_facet Sounith Orphomma
Nattapong Swangmuang
author_sort Sounith Orphomma
title Exploiting the wireless RF fading for human activity recognition
title_short Exploiting the wireless RF fading for human activity recognition
title_full Exploiting the wireless RF fading for human activity recognition
title_fullStr Exploiting the wireless RF fading for human activity recognition
title_full_unstemmed Exploiting the wireless RF fading for human activity recognition
title_sort exploiting the wireless rf fading for human activity recognition
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883066639&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/47657
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