Paper Info
Title
The Intelligent Monitoring for the Elderly Based on WiFi Signals.
Abstract
With the increasing aging population, the intelligent monitoring for the elderly living alone has become a hot research topic. As the universal of WiFi, the intelligent monitoring system based on WiFi Channel State Information (CSI) is proposed for elderly, including fall detection and sleep monitoring. The system is completely off-the-shelf and non-contact, which is more convenient and comfortable to users. The fall detection algorithm is based on phase difference and amplitude of CSI, whose features of different motions are extracted, and the falls are detected by machine learning algorithm. The sleep monitoring system only used phase difference changes of antennas; meanwhile, the respiration, turning over, and apnea will be detected, which can be used to evaluate sleep quality as well. According to the results of experiments, the accuracy of the system can reach 84.6% in fall detection. In sleep monitoring, the error of each breath is 0.337 s and the average accuracy is 89.9%.
Year
DOI
Venue
2017
10.1007/978-3-319-77380-3_85
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2017, PT I
Keywords
Field
DocType
WiFi,CSI,Phase difference,Amplitude,Fall detection,Sleep monitoring
Computer vision,Monitoring system,Computer science,Sleep monitoring,Apnea,Real-time computing,Sleep quality,Artificial intelligence,Channel state information
Conference
Volume
ISSN
Citations 
10735
0302-9743
0
PageRank 
References 
Authors
0.34
2
9
Name
Order
Citations
PageRank
Nan Bao122.07
Chengyang Wu200.34
Qiancheng Liang300.34
Lisheng Xu417839.09
Guozhi Li500.34
Ziyu Qi600.34
Wanyi Zhang700.34
He Ma8122.56
Yan Li939995.68