DocumentCode :
3735119
Title :
Wi-Fi based passive human motion sensing for in-home healthcare applications
Author :
Bo Tan;Alison Burrows;Robert Piechocki;Ian Craddock;Qingchao Chen;Karl Woodbridge;Kevin Chetty
Author_Institution :
Department of Electrical and Electronic Engineering, University of Bristol, BS8 1UB, UK
fYear :
2015
Firstpage :
609
Lastpage :
614
Abstract :
This paper introduces a Wi-Fi signal based passive wireless sensing system that has the capability to detect diverse indoor human movements, from whole body motions to limb movements and breathing movements of the chest. The real time signal processing is used for human body motion sensing, and software defined radio demo system are described and verified in practical experiments scenarios, which include detection of through-wall human body movement, hand gesture or tremor, and even respiration. The experiment results offer potential for promising healthcare applications using Wi-Fi passive sensing in the home to monitor daily activities, to gather health data and detect emergency situations.
Keywords :
"Sensors","IEEE 802.11 Standard","Wireless sensor networks","Wireless communication","Doppler effect","Signal resolution","OFDM"
Publisher :
ieee
Conference_Titel :
Internet of Things (WF-IoT), 2015 IEEE 2nd World Forum on
Type :
conf
DOI :
10.1109/WF-IoT.2015.7389123
Filename :
7389123
Link To Document :
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