Intelligent Wi-Fi Based Child Presence Detection System
Xiaolu Zeng, K. J. Ray Liu, Beibei Wang, Sai Deepika Regani, Chenshu Wu
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Heat-stroke and death of children being left alone in a parked car have attracted more and more attention. As a result, car manufactures start to reward solutions for in-car Child Presence Detection (CPD) system to save lives recently. However, most of the existing works rely on dedicated sensors and only achieve limited accuracy and coverage. \rev{This paper presents the first-of-its-kind intelligent CPD system using commodity Wi-Fi. Based on a statistical electromagnetic wave model to fully leverage the information in all the multipath components, the proposed CPD system mainly consists of a motion target detector to detect a child in awake/motion status, a stationary target detector to detect a sleeping child by extracting breathing rate information, and a transition target detector based on a Naive Bayes Classifier using multipath profiles as features.} We build a real-time testbed and show through extensive experiments that the proposed system can achieve >=99.34% detection rate and