BreathListener: Fine-grained breathing monitoring in driving environments utilizing acoustic signals

X Xu, J Yu, Y Chen, Y Zhu, L Kong, M Li - Proceedings of the 17th annual …, 2019 - dl.acm.org
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 well …

BreathTrack: detecting regular breathing phases from unannotated acoustic data captured by a smartphone

B Islam, MM Rahman, T Ahmed, MY Ahmed… - Proceedings of the …, 2021 - dl.acm.org
Breathing biomarkers, such as breathing rate, fractional inspiratory time, and inhalation-
exhalation ratio, are vital for monitoring the user's health and well-being. Accurate estimation …

Noninvasive fine-grained sleep monitoring leveraging smartphones

Y Ren, C Wang, Y Chen, J Yang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Sleep monitoring has drawn increasing attention as sleep quality is important to maintain a
person's well-being. For instance, serious health problems, such as cardiovascular disease …

Lasense: Pushing the limits of fine-grained activity sensing using acoustic signals

D Li, J Liu, SI Lee, J Xiong - Proceedings of the ACM on Interactive …, 2022 - dl.acm.org
Acoustic signals have been widely adopted in sensing fine-grained human activities,
including respiration monitoring, finger tracking, eye blink detection, etc. One major …

Fine-grained sleep monitoring: Hearing your breathing with smartphones

Y Ren, C Wang, J Yang, Y Chen - 2015 IEEE Conference on …, 2015 - ieeexplore.ieee.org
Sleep monitoring has drawn increasingly attention as the quality and quantity of the sleep
are important to maintain a person's health and well-being. For example, inadequate and …

Remote breathing rate tracking in stationary position using the motion and acoustic sensors of earables

T Ahmed, MM Rahman, E Nemati, MY Ahmed… - Proceedings of the …, 2023 - dl.acm.org
Breathing rate is critical for the user's respiratory health and is hard to track outside the
clinical context, requiring specialized devices. Earables could provide a convenient solution …

TensorBeat: Tensor decomposition for monitoring multiperson breathing beats with commodity WiFi

X Wang, C Yang, S Mao - ACM Transactions on Intelligent Systems and …, 2017 - dl.acm.org
Breathing signal monitoring can provide important clues for health problems. Compared to
existing techniques that require wearable devices and special equipment, a more desirable …

rconverse: Moment by moment conversation detection using a mobile respiration sensor

R Bari, RJ Adams, MM Rahman, MB Parsons… - Proceedings of the …, 2018 - dl.acm.org
Monitoring of in-person conversations has largely been done using acoustic sensors. In this
paper, we propose a new method to detect moment-by-moment conversation episodes by …

ResFi: WiFi-enabled device-free respiration detection based on deep learning

J Hu, J Yang, JB Ong, D Wang… - 2022 IEEE 17th …, 2022 - ieeexplore.ieee.org
Respiration, a vital basis for life, is a key indicator of health status for the human being.
Recently, with contact-based devices, some breathing signal detection methods have been …

Speech breathing estimation using deep learning methods

VS Nallanthighal, A Härmä… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Breathing is the primary mechanism for maintaining the subglottal pressure for speech
production. Speech can be seen as a systematic outflow of air during exhalation …