发表刊物:2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS)
摘要:Wi-Fi-based in-home health care has attracted much attention over the past years. In this paper, leveraging the complementary amplitude and phase data of Wi-11 Channel State Information ((SI), we propose a contact-free elderly-focused health monitoring system to simultaneously detect the human presence and monitor the detailed respiration status. By utilizing the Naive Hayes classifier, the proposed system could detect human presence based on the Doppler spectrum. To obtain detailed respiration status, we define the Respiration-to-Noise Ratio (RNR) to select the most sensitive data streams. Fo
论文类型:开发研究
ISSN号:2164-7038
是否译文:否
收录刊物:EI