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Title: Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes
Authors: Yang, Jianfei
Zou, Han
Jiang, Hao
Xie, Lihua
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Yang, J., Zou, H., Jiang, H., & Xie, L. (2018). Device-free occupant activity sensing using WiFi-enabled IoT devices for smart homes. IEEE Internet of Things Journal, 5(5), 3991-4002. doi:10.1109/JIOT.2018.2849655
Journal: IEEE Internet of Things Journal
Abstract: Intelligent occupancy sensing is becoming a vital underpinning for various emerging applications in smart homes, such as security surveillance and human behavior analysis. However, prevailing approaches mainly rely on video camera, ambient sensors, or wearable devices, which either requires arduous deployment or arouses privacy concerns. In this paper, we present a novel real-time, device-free, and privacy-preserving WiFi-enabled Internet of Things platform for occupancy sensing, which can promote a myriad of emerging applications. It is designed to achieve an optimal tradeoff between performance and scalability. Our system empowers commercial off-the-shelf WiFi routers to collect channel state information (CSI) measurements and provides an efficient cloud server for computing via a lightweight communication protocol. To demonstrate the usefulness of our platform, an occupancy detection system is developed by exploiting the CSI curve of human presence. Furthermore, we also design an innovative activity recognition system based on our platform and machine learning techniques with high availability and extensibility. In the evaluation, the experimental results show that our platform enables these applications efficiently, with the accuracy of 96.8% and 90.6% in terms of occupancy detection and recognition, respectively.
ISSN: 2327-4662
DOI: 10.1109/JIOT.2018.2849655
Rights: © 2018 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles


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