Multi-armed bandits for sleep recognition of elderly living in single-resident smart homes

ZK Shahid, S Saguna, C Åhlund - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Sleep is an essential activity that affects an individual's health and ability to perform activities
of daily living (ADL). Inadequate sleep reduces cognitive capacity and leads to health …

Leveraging Self-Supervised Learning for Human Activity Recognition with Ambient Sensors

H Chen, C Gouin-Vallerand, K Bouchard… - Proceedings of the …, 2023 - dl.acm.org
Human activity recognition (HAR) using ambient sensors has emerged as a promising
approach to telemonitoring daily activities and enhancing the elderly quality of life. Deep …

CovidAlert-a wristwatch-based system to alert users from face touching

M Roy, VDR Seethi, P Bharti - International Conference on Pervasive …, 2021 - Springer
Worldwide 219 million people have been infected and 4.5 million have lost their lives in
ongoing Covid-19 pandemic. Until vaccines became widely available, precautions and …

Recognizing long-term sleep behaviour change using clustering for elderly in smart homes

ZK Shahid, S Saguna, C Åhlund - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The need for smart healthcare tools and techniques has increased due to the availability of
low-cost IoT sensors and devices and the growing aging population in the world. Early …

Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey

M Abdel-Basset, V Chang, H Hawash… - Annals of Operations …, 2021 - Springer
Abstract The widespread Internet of Things (IoT) technologies in day life indoor
environments result in an enormous amount of daily generated data, which require reliable …

ACTIVA. Innovation in Quality of Care for Nursing Homes through Activity Recognition

A Montoro, JL López, C Nugent, M Espinilla - IEEE Access, 2023 - ieeexplore.ieee.org
There are an increasing number of elderly people with various pathologies and care needs,
making nursing homes one of the most suitable places for them to live. The demand for …

[HTML][HTML] UWB radio-based motion detection system for assisted living

K Bregar, A Hrovat, M Mohorčič - Sensors, 2021 - mdpi.com
Because of the ageing population, the demand for assisted living solutions that can help
prolonging independent living of elderly at their homes with reduced interaction with …

A Method of Self-Supervised Denoising and Classification for Sensor-Based Human Activity Recognition

L Lu, T Deng - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is an important subfield of pervasive computing and
pattern recognition. While researchers have achieved remarkable results in feature …

WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing

S Huang, K Li, D You, Y Chen, A Lin, S Liu, X Li… - arXiv preprint arXiv …, 2024 - arxiv.org
WiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in
a non-intrusive and device-free manner, benefiting applications as diverse as smart homes …

HeadSee: Device-free head gesture recognition with commodity RFID

K Chen, F Wang, M Li, B Liu, H Chen… - Peer-to-Peer Networking …, 2022 - Springer
Research shows that the head posture not only contains important interpersonal information
but also is an external manifestation of human psychological activities. Head posture plays …