Human activity recognition using tools of convolutional neural networks: A state of the art review, data sets, challenges, and future prospects

MM Islam, S Nooruddin, F Karray… - Computers in Biology and …, 2022 - Elsevier
Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

A review on real-time implantable and wearable health monitoring sensors based on triboelectric nanogenerator approach

AA Mathew, A Chandrasekhar, S Vivekanandan - Nano Energy, 2021 - Elsevier
The recent developments in the promising technology, Triboelectric Nanogenerators
(TENGs) have brought numerous changes in the medical field. The amalgamation of …

Topographic design in wearable MXene sensors with in-sensor machine learning for full-body avatar reconstruction

H Yang, J Li, X Xiao, J Wang, Y Li, K Li, Z Li… - Nature …, 2022 - nature.com
Wearable strain sensors that detect joint/muscle strain changes become prevalent at human–
machine interfaces for full-body motion monitoring. However, most wearable devices cannot …

[HTML][HTML] Electronic textiles: New age of wearable technology for healthcare and fitness solutions

JS Meena, SB Choi, SB Jung, JW Kim - Materials Today Bio, 2023 - Elsevier
Sedentary lifestyles and evolving work environments have created challenges for global
health and cause huge burdens on healthcare and fitness systems. Physical immobility and …

Unobtrusive health monitoring in private spaces: The smart home

J Wang, N Spicher, JM Warnecke, M Haghi… - Sensors, 2021 - mdpi.com
With the advances in sensor technology, big data, and artificial intelligence, unobtrusive in-
home health monitoring has been a research focus for decades. Following up our research …

Smart detecting and versatile wearable electrical sensing mediums for healthcare

A Ali, M Ashfaq, A Qureshi, U Muzammil, H Shaukat… - Sensors, 2023 - mdpi.com
A rapidly expanding global population and a sizeable portion of it that is aging are the main
causes of the significant increase in healthcare costs. Healthcare in terms of monitoring …

Optimization of IoT-based artificial intelligence assisted telemedicine health analysis system

H Yu, Z Zhou - IEEE access, 2021 - ieeexplore.ieee.org
This paper presents an in-depth study and exploration of the health IoT architecture and
related implementation technologies from both theoretical and practical aspects, with …

A fusion of a deep neural network and a hidden Markov model to recognize the multiclass abnormal behavior of elderly people

L Wang, Y Zhou, R Li, L Ding - Knowledge-Based Systems, 2022 - Elsevier
With a rapidly aging population, the health problems of older individuals have attracted
increasing attention. Elderly people are exposed to more health risks, and their behavior can …

Factors influencing the elderly's behavioural intention to use smart home technologies in Saudi Arabia

K Maswadi, NA Ghani, S Hamid - PLoS One, 2022 - journals.plos.org
In recent years, smart home technologies have offered opportunities for elderly people to
manage their daily health-related activities. Despite the advancement in smart home …

Design for healthy ageing–the relationship between design, well-being, and quality of life: a review

L Engelen, M Rahmann, E de Jong - Building Research & …, 2022 - Taylor & Francis
Although people are living longer, well-being and quality of life (QoL) are not guaranteed.
The built environment is recognized as influencing health outcomes across lifespans. This …