Recent advances on IoT-assisted wearable sensor systems for healthcare monitoring

SD Mamdiwar, Z Shakruwala, U Chadha, K Srinivasan… - Biosensors, 2021 - mdpi.com
IoT has played an essential role in many industries over the last few decades. Recent
advancements in the healthcare industry have made it possible to make healthcare …

[HTML][HTML] Wearable health devices in health care: narrative systematic review

L Lu, J Zhang, Y Xie, F Gao, S Xu, X Wu… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background: With the rise of mobile medicine, the development of new technologies such as
smart sensing, and the popularization of personalized health concepts, the field of smart …

A primer on motion capture with deep learning: principles, pitfalls, and perspectives

A Mathis, S Schneider, J Lauer, MW Mathis - Neuron, 2020 - cell.com
Extracting behavioral measurements non-invasively from video is stymied by the fact that it is
a hard computational problem. Recent advances in deep learning have tremendously …

Wearable sensors and smart devices to monitor rehabilitation parameters and sports performance: an overview

R De Fazio, VM Mastronardi, M De Vittorio, P Visconti - Sensors, 2023 - mdpi.com
A quantitative evaluation of kinetic parameters, the joint's range of motion, heart rate, and
breathing rate, can be employed in sports performance tracking and rehabilitation …

Emerging wearable interfaces and algorithms for hand gesture recognition: A survey

S Jiang, P Kang, X Song, BPL Lo… - IEEE Reviews in …, 2021 - ieeexplore.ieee.org
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

Electromyography monitoring systems in rehabilitation: A review of clinical applications, wearable devices and signal acquisition methodologies

M Al-Ayyad, HA Owida, R De Fazio, B Al-Naami… - Electronics, 2023 - mdpi.com
Recently, there has been an evolution toward a science-supported medicine, which uses
replicable results from comprehensive studies to assist clinical decision-making. Reliable …

Wearable inertial sensors for human movement analysis: a five-year update

P Picerno, M Iosa, C D'Souza… - Expert review of …, 2021 - Taylor & Francis
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …

A review of hand gesture recognition systems based on noninvasive wearable sensors

R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …

Pretraining boosts out-of-domain robustness for pose estimation

A Mathis, T Biasi, S Schneider… - Proceedings of the …, 2021 - openaccess.thecvf.com
Neural networks are highly effective tools for pose estimation. However, as in other
computer vision tasks, robustness to out-of-domain data remains a challenge, especially for …

Biopotential signal monitoring systems in rehabilitation: A review

A Palumbo, P Vizza, B Calabrese, N Ielpo - Sensors, 2021 - mdpi.com
Monitoring physical activity in medical and clinical rehabilitation, in sports environments or
as a wellness indicator is helpful to measure, analyze and evaluate physiological …