Precise 6-DOF Motion Tracking of Fine Motor Skills of Fingers Based on Wearable Magnetic Induction Sensors-Reference-Cited by-同舟云学术

Precise 6-DOF Motion Tracking of Fine Motor Skills of Fingers Based on Wearable Magnetic Induction Sensors

Published:2024-04-01 Issue:7 Volume:24 Page:11295-11305
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Kharitonov V. N.¹^ORCID,Namsaraev Zh. Zh.¹^ORCID,Brizitskii R. V.²,Samardak A. S.³^ORCID,Ognev A. V.³

Affiliation:

1. Department of General and Experimental Physics, Institute of High Technologies and Advanced Materials, Far Eastern Federal University, Vladivostok, Russia

2. Instirute of Mathematics and Computer Technologies, Far Eastern Federal Univesity, Vladivostok, Russia

3. Laboratory of Spin-Orbitronics, Institute of High Technologies and Advanced Materials, Far Eastern Federal University, Vladivostok, Russia

Funder

Ministry of Science and Higher Education of the Russian Federation

Government of the Russian Federation

Institute of Applied Mathematics, Far Eastern Branch of Russian Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10487994/10417018.pdf?arnumber=10417018

Reference35 articles.

1. Validity of Movement Pattern Kinematics as Measures of Arm Motor Impairment Poststroke

2. Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis

3. Markerless analysis of upper extremity kinematics during standardized pediatric assessment;Ramme,2014

4. A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation

5. Accuracy and feasibility of a novel fine hand motor skill assessment using computer vision object tracking