Acoustic-based sensing and applications: A survey

Y Bai, L Lu, J Cheng, J Liu, Y Chen, J Yu - Computer Networks, 2020 - Elsevier
With advancements of wireless and sensing technologies, recent studies have
demonstrated technical feasibility and effectiveness of using acoustic signals for sensing. In …

A Systematic Review of Human Activity Recognition Based On Mobile Devices: Overview, Progress and Trends

Y Yin, L Xie, Z Jiang, F Xiao, J Cao… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …

Evidence-driven sound detection for prenotification and identification of construction safety hazards and accidents

YC Lee, M Shariatfar, A Rashidi, HW Lee - Automation in Construction, 2020 - Elsevier
As the construction industry experiences a high rate of casualties and significant economic
loss associated with accidents, safety has always been a primary concern. In response …

Applications and services using vehicular exteroceptive sensors: A survey

FM Ortiz, M Sammarco, LHMK Costa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Modern vehicles are equipped with a myriad of sensors. Proprioceptive sensors monitor the
vehicle status and operation, whereas exteroceptive ones sense the external environment …

Sensing to hear: Speech enhancement for mobile devices using acoustic signals

Q Zhang, D Wang, R Zhao, Y Yu, J Shen - Proceedings of the ACM on …, 2021 - dl.acm.org
Voice interactions and voice messages on mobile phones are rapidly growing in popularity.
However, the user experience of these services is still worse than desired in noisy …

Soundlip: Enabling word and sentence-level lip interaction for smart devices

Q Zhang, D Wang, R Zhao, Y Yu - Proceedings of the ACM on Interactive …, 2021 - dl.acm.org
As a natural and convenient interaction modality, voice input has now become
indispensable to smart devices (eg mobile phones and smart appliances). However, voice …

Driversonar: Fine-grained dangerous driving detection using active sonar

H Jiang, J Hu, D Liu, J Xiong, M Cai - … of the ACM on Interactive, Mobile …, 2021 - dl.acm.org
Dangerous driving due to drowsiness and distraction is the main cause of traffic accidents,
resulting in casualties and economic loss. There is an urgent need to address this problem …

mPose: Environment-and subject-agnostic 3D skeleton posture reconstruction leveraging a single mmWave device

C Shi, L Lu, J Liu, Y Wang, Y Chen, J Yu - Smart Health, 2022 - Elsevier
Human skeleton posture reconstruction is an essential component for human–computer
interactions (HCI) in various application domains. Traditional approaches usually rely on …

BlinkRadar: non-intrusive driver eye-blink detection with UWB radar

J Hu, H Jiang, D Liu, Z Xiao, S Dustdar… - 2022 IEEE 42nd …, 2022 - ieeexplore.ieee.org
The eye-blink pattern is crucial for drowsy driving diagnostics, which has become an
increasingly serious social issue. However, traditional methods (eg, with EOG, camera …

A survey on wireless device-free human sensing: Application scenarios, current solutions, and open issues

J Xiao, H Li, M Wu, H Jin, MJ Deen, J Cao - ACM Computing Surveys, 2022 - dl.acm.org
In the last decade, many studies have significantly pushed the limits of wireless device-free
human sensing (WDHS) technology and facilitated various applications, ranging from …