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Found 4 papers, 2 papers with code
SleepMore: Inferring Sleep Duration at Scale via Multi-Device WiFi Sensing
In this paper, we propose SleepMore, an accurate and easy-to-deploy sleep-tracking approach based on machine learning over the user's WiFi network activity.
FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing
With a motivation to monitor airflow from building ventilation systems through commodity sensing devices, we present FlowSense, a machine learning-based algorithm to predict airflow rate from sensed audio data in indoor spaces.
WiSleep: Inferring Sleep Duration at Scale Using Passive WiFi Sensing
With a motivation to expand sleep monitoring capabilities at a large scale and contribute sleep data to public health understanding, we present Wisleep, a system for inferring sleep duration using smartphone network connections that are passively sensed from WiFi infrastructure.
WiFiTrace: Network-based Contact Tracing for Infectious Diseases Using Passive WiFi Sensing
Contact tracing is a well-established and effective approach for the containment of the spread of infectious diseases.
Networking and Internet Architecture Computers and Society
