A review of recent advances in vital signals monitoring of sports and health via flexible wearable sensors

W Sun, Z Guo, Z Yang, Y Wu, W Lan, Y Liao, X Wu… - Sensors, 2022 - mdpi.com
In recent years, vital signals monitoring in sports and health have been considered the
research focus in the field of wearable sensing technologies. Typical signals include …

On the accuracy of BLE indoor localization systems: An assessment survey

AA Morgan - Computers and Electrical Engineering, 2024 - Elsevier
Abstract Bluetooth Low Energy (BLE) is a widely used technology to accomplish the
essential task of indoor localization. Hundreds of studies, with many techniques …

RIS-Aided Kinematic Analysis for Remote Rehabilitation

DR Emenonye, A Sarker, AT Asbeck… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This article is the first to examine the idea of using reconfigurable intelligent surfaces (RISs)
as passive devices that measure the position and orientation of certain human body parts …

Location and tracking mode of sports rehabilitation training with self-powered sensors based on particle swarm optimization algorithm

Y Ke - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
With the growth of the country's economic strength, people's living standards have steadily
improved. Sports have become the main means to change physical fitness and maintain the …

Multi-sensor data fusion approach for kinematic quantities

M D'Arco, M Guerritore - Energies, 2022 - mdpi.com
A theoretical framework to implement multi-sensor data fusion methods for kinematic
quantities is proposed. All methods defined through the framework allow the combination of …

A Hierarchical Bayesian Model for Cyber-Human Assessment of Movement in Upper Extremity Stroke Rehabilitation

T Ahmed, T Rikakis, A Kelliher… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The evidence-based quantification of the relation between changes in movement quality
and functionality can assist clinicians in achieving more effective structuring or adapting of …

[PDF][PDF] Research on motion recognition based on multi-dimensional sensing data and deep learning algorithms

JG Qiu, Y Li, HQ Liu, S Lin, L Pang, G Sun… - Math Biosci Eng, 2023 - aimspress.com
Motion recognition provides movement information for people with physical dysfunction, the
elderly and motion-sensing games production, and is important for accurate recognition of …

Acrnet: Attention cube regression network for multi-view real-time 3d human pose estimation in telemedicine

B Hu, C Zhu, X Ai, SK Agrawal - arXiv preprint arXiv:2210.05130, 2022 - arxiv.org
Human pose estimation (HPE) for 3D skeleton reconstruction in telemedicine has long
received attention. Although the development of deep learning has made HPE methods in …

A hierarchical Bayesian model for cyber-human assessment of rehabilitation movement

T Ahmed, T Rikakis, S Zilevu, A Kelliher, K Thopalli… - medRxiv, 2022 - medrxiv.org
Background The evidence-based quantification of the relation between changes in
movement quality and functionality can assist clinicians in achieving more effective …

Validation of 3D Knee Kinematics during Gait on Treadmill with an Instrumented Knee Brace

N Reneaud, R Zory, O Guérin, L Thomas, SS Colson… - Sensors, 2023 - mdpi.com
To test a novel instrumented knee brace intended for use as a rehabilitation system, based
on inertial measurement units (IMU) to monitor home-based exercises, the device was …