Deep learning in human activity recognition with wearable sensors: A review on advances
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
tracking, wellness monitoring, and human–computer interaction, that measure and improve …
Recent trends and practices toward assessment and rehabilitation of neurodegenerative disorders: Insights from human gait
The study of human movement and biomechanics forms an integral part of various clinical
assessments and provides valuable information toward diagnosing neurodegenerative …
assessments and provides valuable information toward diagnosing neurodegenerative …
A motion capturing and energy harvesting hybridized lower‐limb system for rehabilitation and sports applications
Lower‐limb motion monitoring is highly desired in various application scenarios ranging
from rehabilitation to sports training. However, there still lacks a cost‐effective, energy …
from rehabilitation to sports training. However, there still lacks a cost‐effective, energy …
Laser‐induced graphene piezoresistive sensors synthesized directly on cork insoles for gait analysis
Monitorization of gait‐related parameters is of the utmost importance to prevent
complications in several diseases, ensuring affordable healthcare for the growing amount of …
complications in several diseases, ensuring affordable healthcare for the growing amount of …
A deep learning network with aggregation residual transformation for human activity recognition using inertial and stretch sensors
S Mekruksavanich, A Jitpattanakul - Computers, 2023 - mdpi.com
With the rise of artificial intelligence, sensor-based human activity recognition (S-HAR) is
increasingly being employed in healthcare monitoring for the elderly, fitness tracking, and …
increasingly being employed in healthcare monitoring for the elderly, fitness tracking, and …
Recent progress in sensing and computing techniques for human activity recognition and motion analysis
The recent scientific and technical advances in Internet of Things (IoT) based pervasive
sensing and computing have created opportunities for the continuous monitoring of human …
sensing and computing have created opportunities for the continuous monitoring of human …
Wearable multisource quantitative gait analysis of Parkinson's diseases
As the motor symptoms of Parkinson's disease (PD) are complex and influenced by many
factors, it is challenging to quantify gait abnormalities adequately using a single type of …
factors, it is challenging to quantify gait abnormalities adequately using a single type of …
Nanogenerator as self-powered sensing microsystems for safety monitoring
A fast and accurate real-time safety monitoring system can encourage people to work and
live more safely and comfortably. Developing flexible, portable, and sustainable …
live more safely and comfortably. Developing flexible, portable, and sustainable …
Comparing loose clothing-mounted sensors with body-mounted sensors in the analysis of walking
A person's walking pattern can reveal important information about their health. Mounting
multiple sensors onto loose clothing potentially offers a comfortable way of collecting data …
multiple sensors onto loose clothing potentially offers a comfortable way of collecting data …
[HTML][HTML] 3D-printed highly stable flexible strain sensor based on silver-coated-glass fiber-filled conductive silicon rubber
C Zhao, Z Xia, X Wang, J Nie, P Huang, S Zhao - Materials & Design, 2020 - Elsevier
Flexible sensors have been tremendously attractive in wearable electronics, soft robots and
human-machine interaction devices. In this work, conductive silicon rubber (CSR) filled with …
human-machine interaction devices. In this work, conductive silicon rubber (CSR) filled with …