Respiration monitoring with RFID in driving environments

C Yang, X Wang, S Mao - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
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 …

Resilient respiration rate monitoring with realtime bimodal CSI data

X Wang, C Yang, S Mao - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Vital signs, such as respiration rate, can provide useful information for personal healthcare.
In this paper, we present ResBeat, a commodity 5 GHz WiFi based system to exploit bimodal …

A CSI-based multi-environment human activity recognition framework

BA Alsaify, MM Almazari, R Alazrai, S Alouneh… - Applied Sciences, 2022 - mdpi.com
Passive human activity recognition (HAR) systems, in which no sensors are attached to the
subject, provide great potentials compared to conventional systems. One of the recently …

Unsupervised detection of apnea using commodity RFID tags with a recurrent variational autoencoder

C Yang, X Wang, S Mao - IEEE access, 2019 - ieeexplore.ieee.org
With the rapid development of intelligent health sensing in the Internet of Things (IoT), vital
sign monitoring (eg, respiration) and abnormal respiration detection have attracted …

AutoTag: Recurrent variational autoencoder for unsupervised apnea detection with RFID tags

C Yang, X Wang, S Mao - 2018 IEEE Global Communications …, 2018 - ieeexplore.ieee.org
With the growth of smart healthcare in the Internet of Things (IoT), breathing monitoring and
apnea detection are of increasing importance. In this paper, we propose AutoTag, a …

[HTML][HTML] Contact-free wheat mildew detection with commodity wifi

P Hu, W Yang, X Wang, S Mao - International Journal of Cognitive …, 2022 - Elsevier
Mildew is recognized as one of the most critical causes of the damages in food storage. Due
to the complex operation and high cost, many advanced detection instruments cannot be …

Nocturnal seizure detection using off-the-shelf WiFi

B Korany, Y Mostofi - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The detection of nocturnal seizures in epilepsy patients is essential, both for the quick
management of the seizure complications, and for the assessment of the ongoing seizure …

Multi-class wheat moisture detection with 5GHz Wi-Fi: A deep LSTM approach

W Yang, X Wang, S Cao, H Wang… - 2018 27th International …, 2018 - ieeexplore.ieee.org
Moisture content of cereal grains is a highly important factor in safe storage and food
processing. The existing detection methods are either time-consuming, sensitive to the …

Develop an adaptive real-time indoor intrusion detection system based on empirical analysis of OFDM subcarriers

W Zhuang, Y Shen, L Li, C Gao, D Dai - Sensors, 2021 - mdpi.com
Device-free passive intrusion detection is a promising technology to determine whether
moving subjects are present without deploying any specific sensors or devices in the area of …

[HTML][HTML] Efficiently improving the Wi-Fi-based human activity recognition, using auditory features, autoencoders, and fine-tuning

A Rahdar, M Chahoushi, SA Ghorashi - Computers in Biology and Medicine, 2024 - Elsevier
Human activity recognition (HAR) based on Wi-Fi signals has attracted significant attention
due to its convenience and the availability of infrastructures and sensors. Channel State …