As elderly population grows, social and health care begin to face validation challenges, in-home monitoring is becoming a focus for professionals in
the field. Governments urgently need to improve the quality of healthcare
services at lower costs while ensuring the comfort and independence of the
This work presents an in-home monitoring approach based on offthe-shelf WiFi, which is low-costs, non-wearable and makes all-round daily
healthcare information available to caregivers. The proposed approach can
capture fine-grained human pose figures even through a wall and track detailed respiration status simultaneously by off-the-shelf WiFi devices.
 Guo Lingchao, Lu Zhaoming, Zhou Shuang, Wen Xiangming, He Zhihong. Emergency Semantic Feature Vector Extraction from WiFi Signals for In-Home Monitoring of Elderly. in IEEE Journal of Selected Topics in Signal Processing, (under review).