[PDF][PDF] Machine Learning-Assisted Sensing Techniques for Integrated Communications and Sensing in WLANs: Current Status and Future Directions.

S Shao, M Fan, C Yu, Y Li, X Xu, H Wang - Progress In Electromagnetics …, 2022 - jpier.org
Sensing is a key basis for building an intelligent environment. Using channel state
information (CSI) from the IEEE 802.11 physical layer in the wireless local access networks …

Autofi: Toward automatic wi-fi human sensing via geometric self-supervised learning

J Yang, X Chen, H Zou, D Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Wi-Fi sensing technology has shown superiority in smart homes among various sensors for
its cost-effective and privacy-preserving merits. It is empowered by channel state information …

SiFall: Practical online fall detection with RF sensing

S Ji, Y Xie, M Li - Proceedings of the 20th ACM Conference on …, 2022 - dl.acm.org
Falls are one of the leading causes of death in the elderly people aged 65 and above. In
order to prevent death by sending prompt fall detection alarms, non-invasive radio …

CSI-based location-independent human activity recognition using feature fusion

Y Zhang, Q Liu, Y Wang, G Yu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Channel state information (CSI)-based human activity recognition (HAR) has important
application prospects, such as smart homes, medical monitoring, and public security. Due to …

Acceleration estimation of signal propagation path length changes for wireless sensing

J Wang, H Du, D Niyato, M Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As indoor applications grow in diversity, wireless sensing, vital in areas like localization and
activity recognition, is attracting renewed interest. Indoor wireless sensing relies on signal …

Deep Learning Based Fall Detection using WiFi Channel State Information

Y Chu, K Cumanan, S Smith, O Dobre - IEEE Access, 2023 - ieeexplore.ieee.org
Falls have always been one of the major threats to the health and well-being of elderly
people, particularly for those living alone. Both wearable and non-wearable fall detection …

Dancingant: Body-empowered wireless sensing utilizing pervasive radiations from powerline

M Cui, B Xie, Q Wang, J Xiong - Proceedings of the 29th Annual …, 2023 - dl.acm.org
In recent years, wireless sensing has attracted lots of research attention with a large range of
applications enabled. However, several critical issues still hinder wireless sensing from …

Autodlar: a semi-supervised cross-modal contact-free human activity recognition system

X Lu, L Wang, C Lin, X Fan, B Han, X Han… - ACM Transactions on …, 2024 - dl.acm.org
WiFi-based human activity recognition (HAR) plays an essential role in various applications
such as security surveillance, health monitoring, and smart home. Existing HAR methods …

Activity detection in indoor environments using multiple 2d lidars

M Bouazizi, AL Mora, K Feghoul, T Ohtsuki - Sensors, 2024 - mdpi.com
In health monitoring systems for the elderly, a crucial aspect is unobtrusively and
continuously monitoring their activities to detect potentially hazardous incidents such as …

{VeCare}: Statistical Acoustic Sensing for Automotive {In-Cabin} Monitoring

Y Zhang, W Hou, Z Yang, C Wu - 20th USENIX Symposium on …, 2023 - usenix.org
On average, every 10 days a child dies from in-vehicle heatstroke. The life-threatening
situation calls for an automatic Child Presence Detection (CPD) solution to prevent these …