Emergency Semantic Feature Vector Extraction From WiFi Signals for In-Home Monitoring of Elderly
IEEE Journal of Selected Topics in Signal Processing(2021)
摘要
The elderly population worldwide is growing drastically. Most elders prefer to live independently in their own homes, which makes them more vulnerable to emergencies and leads to higher death rates. Timely detection and notification of emergencies can minimize the impact of the adversity. In this paper, we try to extract the Emergency Semantic Feature Vector (更多
查看译文
关键词
Wireless fidelity,Feature extraction,Senior citizens,Monitoring,Sensors,Biomedical monitoring,Cameras
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要