A Microphone Array System for Automatic Fall Detection

By Yun Li, Dominic K. C. Ho, Mihail Popescu. IEEE Transactions on Biomedical Engineering, 2012

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Challenges, issues and trends in fall detection systems (2013, methodology): “systems [14,15,17,19-23], or from the information provided by the sensors’ observation [28,29].”
WiFall: Device-free fall detection by wireless networks (2017, background): “Ambient device based fall detection techniques attempt to fuse ambient noise information including visual [6], audio [7] and floor vibrational [3] data produced by a fall for the detection purpose.”
RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices (2017, background): “For elderswho live alone and independently, about 50 percent of the falls occur within their own homes [1], thus timely and automatic detection of falls has long been the research goal in the assistive living community.”
High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend (2016, background): “Video cameras and microphones [11]–[13], for example, suffer from occlusions and a lack of acceptance because of privacy concerns.”
A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment (2012, background): “In [5], an acoustic fall detection system (FADE) that would automatically signal a fall to the monitoring care giver was designed.”