Contactless WiFi sensing and monitoring for future healthcare-emerging trends, challenges, and opportunities
WiFi sensing has received recent and significant interest from academia, industry,
healthcare professionals, and other caregivers (including family members) as a potential …
healthcare professionals, and other caregivers (including family members) as a potential …
In-home older adults' activity pattern monitoring using depth sensors: A review
The global population is aging due to many factors, including longer life expectancy through
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
better healthcare, changing diet, physical activity, etc. We are also witnessing various …
FedStack: Personalized activity monitoring using stacked federated learning
Recent advances in remote patient monitoring (RPM) systems can recognize various human
activities to measure vital signs, including subtle motions from superficial vessels. There is a …
activities to measure vital signs, including subtle motions from superficial vessels. There is a …
Discrete human activity recognition and fall detection by combining FMCW RADAR data of heterogeneous environments for independent assistive living
Human activity monitoring is essential for a variety of applications in many fields, particularly
healthcare. The goal of this research work is to develop a system that can effectively detect …
healthcare. The goal of this research work is to develop a system that can effectively detect …
A novel deep dual self-attention and Bi-LSTM fusion framework for Parkinson's disease prediction using freezing of gait: a biometric application
Parkinson's disease (PD) disorder is caused by the imbalance of inhibitory dopamine and
excitatory acetylcholine neurotransmitters, which causes hindrance in locomotion. Freezing …
excitatory acetylcholine neurotransmitters, which causes hindrance in locomotion. Freezing …
Human action recognition in smart living services and applications: context awareness, data availability, personalization, and privacy
Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …
technologies in homes and urban environments to elevate the quality of life for citizens. A …
Prediction of successful aging using ensemble machine learning algorithms
Z Asghari Varzaneh, M Shanbehzadeh… - BMC Medical Informatics …, 2022 - Springer
Background Aging is a chief risk factor for most chronic illnesses and infirmities. The growth
in the aged population increases medical costs, thus imposing a heavy financial burden on …
in the aged population increases medical costs, thus imposing a heavy financial burden on …
Design and implementation of intelligent patient in-house monitoring system based on efficient XGBoost-CNN approach
G Premalatha, VT Bai - Cognitive Neurodynamics, 2022 - Springer
Because of the scarcity of caregivers and the high cost of medical devices, it is difficult to
keep track of the aging population and provide assistance. To avoid deterioration of health …
keep track of the aging population and provide assistance. To avoid deterioration of health …
Group decision making-based fusion for human activity recognition in body sensor networks
Y Tian, J Zhang, Q Chen, S Hou, L Xiao - Sensors, 2022 - mdpi.com
Ensemble learning systems (ELS) have been widely utilized for human activity recognition
(HAR) with multiple homogeneous or heterogeneous sensors. However, traditional …
(HAR) with multiple homogeneous or heterogeneous sensors. However, traditional …
[HTML][HTML] A review of thermal array sensor-based activity detection in smart spaces using AI
Nowadays, research works into the dynamic and static human activities on Smart spaces
abounds. Artificial Intelligence (AI) and low cost non-privacy invasive ambient sensors have …
abounds. Artificial Intelligence (AI) and low cost non-privacy invasive ambient sensors have …