Harvesting Inertial Energy and Powering Wearable Devices: A Review

H Zhang, Q Shen, P Zheng, H Wang, R Zou… - Small …, 2024 - Wiley Online Library
Amidst the swift progression of microelectronics and Internet of Things technology, wearable
devices are gradually gaining ground in the domains of human health monitoring. Recently …

Recent Advances in Wearable Sensors for the Monitoring of Sweat: A Comprehensive Tendency Summary

Z Xing, J Hui, B Lin, Z Wu, H Mao - Chemosensors, 2023 - mdpi.com
Sweat, as a biofluid that is easy to extract and contains a variety of biomarkers, can provide
various types of physiological information for health monitoring. In recent years, research on …

Human activity recognition: A comprehensive review

H Kaur, V Rani, M Kumar - Expert Systems, 2024 - Wiley Online Library
Abstract Human Activity Recognition (HAR) is a highly promising research area meant to
automatically identify and interpret human behaviour using data received from sensors in …

[HTML][HTML] Internet of robotic things for independent living: Critical analysis and future directions

M Sandhu, D Silvera-Tawil, P Borges, Q Zhang, B Kusy - Internet of Things, 2024 - Elsevier
The elderly population is growing rapidly around the world. At the same time, the number of
people living with a disability is increasing. Due to lower immunity, decreased mobility, and …

Ultralow-Frequency Biomechanical Energy Scavenging and Human Activity Recognition at Different Positions Using a Multifunctional Wearable Energy Harvester

S Fan, M Fu, Y Zhou, D Hou, G Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a variety of wearable electronics with different functions have emerged, multifunctional
devices with self-powered nature are desired for solving both problems of the tighter on …

A battery-free wearable system for on-device human activity recognition using kinetic energy harvesting

M Deumer, M Sandhu, S Khalifa, B Kusy… - … '23: Proceedings of …, 2023 - eprints.qut.edu.au
Wearable devices are increasingly prevalent in daily life, especially for activity recognition,
health monitoring, and fitness management. However, their reliance on batteries poses …

Exploring Activity Recognition in Multi-device Environments using Hierarchical Federated Learning

M Sandhu, D Silvera-Tawil, W Lu… - … Workshops and other …, 2024 - ieeexplore.ieee.org
Federated learning enables collaborative training of machine learning models on internet of
things (IoT) devices, without the need to share their local raw data. There are many …

Innovation through Green-Energy Footwear and Piezoelectric Harvesting System

RV Panța, I Ștefan, A Fanca, D Goța… - … on System Theory …, 2023 - ieeexplore.ieee.org
As renewable energy becomes more prevalent and the Internet of Things (IoT) industry
assumes its rightful place in the global technology cycle, research interest in green energy …