TY  - GEN
EP  - 1034
SP  - 1033
TI  - Real-Time Human Activity Recognition System Exploiting Ubiquitous Wi-Fi Signals
UR  - https://eprints.gla.ac.uk/246925/
ID  - enlighten246925
A1  - Ge, Yao
A1  - Dashtipour, Kia
A1  - Shah, Syed Aziz
A1  - Cooper, Jonathan
A1  - Abbasi, Qammer H.
A1  - Imran, Muhammad Ali
Y1  - 2021/12//
AV  - public
N2  - In recent years, the development of wireless network provides the hardware foundation for wireless perception within indoor environment. The wireless sensing system has been applied in many fields, such as intrusion detection, search rescue, gesture recognition and abnormal human activities detection such as falling, wandering behaviour, breathing and heart rates and so on. Among of them, Wi-Fi sensing has proven to be effective since it exploits off-the-shelf low-cost small wireless devices operating at 2.4 GHz frequency band and also a potential field for real-time sensing method for human recognition. This paper presents foundation for real-time Wi-Fi sensing system to detect various human activities when performed in indoor settings.
SN  - 9781728146706
ER  -