This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from …
Occupant activity level information is essential in many smart home applications, such as energy management and elderly care. Various methods have been proposed for detecting …
Y Liu, T Wang, Y Jiang, B Chen - IEEE Transactions on Neural …, 2020 - ieeexplore.ieee.org
This article explores the use of ambient radio frequency (RF) signals for human presence detection through deep learning. Using Wi-Fi signal as an example, we demonstrate that the …
Abstract Human Activity Recognition (HAR) serves a diverse range of human-centric applications in healthcare, smart homes, and security. Recently, Wi-Fi-based solutions have …
J Wang, NCF Tse, JYC Chan - Building and Environment, 2019 - Elsevier
Demand-driven control of building heating, ventilation and air conditioning (HVAC) and lighting systems warrants an attractive energy saving potential. A reliable and accurate …
This paper explores antenna's polarization for Radio-Frequency Identification (RFID) based non-contact human activity detection. For the first time, a cross circular polarization …
T Hang, Y Zheng, K Qian, C Wu, Z Yang… - Tsinghua Science …, 2019 - ieeexplore.ieee.org
Sensorless sensing using wireless signals has been rapidly conceptualized and developed recently. Among numerous applications of WiFi-based sensing, human presence detection …
Conventional sensing methodologies for smart home are known to be labor-intensive and complicated for practical deployment. Thus, researchers are resorting to alternative sensing …
Human sensing using WiFi signal transmissions is attracting significant attention for future applications in e-healthcare, security, and the Internet of Things (IoT). The majority of WiFi …