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 …
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 …
essential task of indoor localization. Hundreds of studies, with many techniques …
RIS-Aided Kinematic Analysis for Remote Rehabilitation
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 …
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 …
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 …
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
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 …
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 …
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 …
received attention. Although the development of deep learning has made HPE methods in …
A hierarchical Bayesian model for cyber-human assessment of rehabilitation movement
Background The evidence-based quantification of the relation between changes in
movement quality and functionality can assist clinicians in achieving more effective …
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 …
on inertial measurement units (IMU) to monitor home-based exercises, the device was …