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 …
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 …
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 …
This research proposes an innovative, intelligent hand-assisted diagnostic system aiming to achieve a comprehensive assessment of hand function through information fusion …
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 …
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 …
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 …
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 …
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 …