Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Wireless sensing for human activity: A survey

J Liu, H Liu, Y Chen, Y Wang… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
With the advancement of wireless technologies and sensing methodologies, many studies
have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …

Single-layered ultra-soft washable smart textiles for all-around ballistocardiograph, respiration, and posture monitoring during sleep

Z Zhou, S Padgett, Z Cai, G Conta, Y Wu, Q He… - Biosensors and …, 2020 - Elsevier
Good sleep is considered to be the cornerstone for maintaining both physical and mental
health. However, nearly one billion people worldwide suffer from various sleep disorders. To …

The future of sleep health: a data-driven revolution in sleep science and medicine

I Perez-Pozuelo, B Zhai, J Palotti, R Mall… - NPJ digital …, 2020 - nature.com
In recent years, there has been a significant expansion in the development and use of multi-
modal sensors and technologies to monitor physical activity, sleep and circadian rhythms …

Skin-interfaced wireless biosensors for perinatal and paediatric health

J Kim, S Yoo, C Liu, SS Kwak, JR Walter, S Xu… - Nature Reviews …, 2023 - nature.com
Continuous monitoring of the parameters that define physiological health status is an
essential aspect of modern care for critically ill patients, particularly for vulnerable …

RF-based fall monitoring using convolutional neural networks

Y Tian, GH Lee, H He, CY Hsu, D Katabi - Proceedings of the ACM on …, 2018 - dl.acm.org
Falls are the top reason for fatal and non-fatal injuries among seniors. Existing solutions are
based on wearable fall-alert sensors, but medical research has shown that they are …

Extracting multi-person respiration from entangled RF signals

S Yue, H He, H Wang, H Rahul, D Katabi - Proceedings of the ACM on …, 2018 - dl.acm.org
Recent advances in wireless systems have demonstrated the possibility of tracking a
person's respiration using the RF signals that bounce off her body. The resulting breathing …

Intelligent meta-imagers: From compressed to learned sensing

C Saigre-Tardif, R Faqiri, H Zhao, L Li… - Applied Physics …, 2022 - pubs.aip.org
Computational meta-imagers synergize metamaterial hardware with advanced signal
processing approaches such as compressed sensing. Recent advances in artificial …

Monitoring gait at home with radio waves in Parkinson's disease: A marker of severity, progression, and medication response

Y Liu, G Zhang, CG Tarolli, R Hristov… - Science Translational …, 2022 - science.org
Parkinson's disease (PD) is the fastest-growing neurological disease in the world. A key
challenge in PD is tracking disease severity, progression, and medication response. Existing …

BodyCompass: Monitoring sleep posture with wireless signals

S Yue, Y Yang, H Wang, H Rahul… - Proceedings of the ACM on …, 2020 - dl.acm.org
Monitoring sleep posture is important for avoiding bedsores after surgery, reducing apnea
events, tracking the progression of Parkinson's disease, and even alerting epilepsy patients …