Respiratory monitoring is essential in sleep studies, sport training, patient monitoring, or
health at work, among other applications. This paper presents a comprehensive systematic …

With advancements of wireless and sensing technologies, recent studies have
demonstrated technical feasibility and effectiveness of using acoustic signals for sensing. In …

To improve driving safety and avoid accidents caused by driving fatigue, drowsiness
detection aims to alarm the driver before he/she falls asleep. Since breathing rate is a key …

Rhythmic movement disorder (RMD) is closely related to health problems like insomnia,
daytime fatigue, anxiety disorder, and depression, or even causes severe injuries resulting …

In this paper, we propose a Dynamic Speed Warping (DSW) algorithm to enable one-shot
learning for device-free gesture signals performed by different users. The design of DSW is …

Recent works have shown that acoustic signals can be leveraged to perform respiration
monitoring with high accuracy and low energy consumption. Since smartphones, smart …

Given the increasing amount of time people spent on driving, the physical and mental health
of drivers is essential to road safety. Breathing patterns are critical indicators of the wellbeing …

Myocardial infarction (MI) is the myocardial necrosis caused by persistent ischemia and
hypoxia of coronary arteries. People do not realize that they are suffering from MI until they …

This paper addresses the challenge of detecting the breathing cessation in sleeping
subjects, via breathing pattern monitoring at a distance and under" night-light" conditions …

Abstract Personal Voice Assistants (PVAs) are increasingly used as interface to digital
environments. Voice commands are used to interact with phones, smart homes or cars. In …