Patient–therapist cooperative hand telerehabilitation through a novel framework involving the virtual glove system

G Placidi, A Di Matteo, D Lozzi, M Polsinelli… - Sensors, 2023 - mdpi.com
Telerehabilitation is important for post-stroke or post-surgery rehabilitation because the
tasks it uses are reproducible. When combined with assistive technologies, such as robots …

Hand tracking and gesture recognition by multiple contactless sensors: A survey

E Theodoridou, L Cinque, F Mignosi… - … on Human-Machine …, 2022 - ieeexplore.ieee.org
Hand tracking and gesture recognition are fundamental in a multitude of applications.
Various sensors have been used for this purpose, however, all monocular vision systems …

[HTML][HTML] Wrist motion assessment using Microsoft Azure Kinect DK: A reliability study in healthy individuals

A Królikowska, A Maj, M Dejnek, R Prill… - … in Clinical and …, 2023 - advances.umw.edu.pl
Background. Motion analysis systems have been widely used in orthopedics and
rehabilitation for diagnostics, patient monitoring and outcome evaluation purposes. Since …

Gesture recognition and hand tracking for anti-counterfeit palmvein recognition

J Xu, L Leng, BG Kim - Applied Sciences, 2023 - mdpi.com
At present, COVID-19 is posing a serious threat to global human health. The features of
hand veins in infrared environments have many advantages, including non-contact …

[HTML][HTML] An Intelligent Hand-Assisted Diagnosis System Based on Information Fusion

H Li, Y Zhou - Sensors, 2024 - mdpi.com
This research proposes an innovative, intelligent hand-assisted diagnostic system aiming to
achieve a comprehensive assessment of hand function through information fusion …

A hand motion capture method based on infrared thermography for measuring fine motor skills in biomedicine

Y Zhu, C Guo - Artificial Intelligence in Medicine, 2023 - Elsevier
Many biomedical applications require fine motor skill assessments; however, real-time and
contactless fine motor skill assessments are not typically implemented. In this study, we …

Problems using data gloves with strain gauges to measure distal interphalangeal joints' kinematics

A Roda-Sales, JL Sancho-Bru, M Vergara - Sensors, 2022 - mdpi.com
Data gloves with strain gauges are a widely used technology to record hand kinematics.
Several researchers have experienced problems when using data glove models to record …

Accuracy of Video-Based Hand Tracking for People with Upper-Body Disabilities

AA Portnova-Fahreeva, M Yamagami… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Utilization of hand-tracking cameras, such as Leap, for hand rehabilitation and functional
assessments is an innovative approach to providing affordable alternatives for people with …

Whole-Body Teleoperation Control of Dual-Arm Robot Using Sensor Fusion

F Wang, F Chen, Y Dong, Q Yong, X Yang, L Zheng… - Biomimetics, 2023 - mdpi.com
As human–robot interaction and teleoperation technologies advance, anthropomorphic
control of humanoid arms has garnered increasing attention. However, accurately …

Optimizing Interaction Space: Enlarging the Capture Volume for Multiple Portable Motion Capture Devices

MH Fatoni, C Herneth, J Li, F Budiman… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
Markerless motion capture devices such as the Leap Motion Controller (LMC) have been
extensively used for tracking hand, wrist, and forearm positions as an alternative to Marker …