Modular finger and hand motion capturing system based on inertial and magnetic sensors-Reference-Cited by-同舟云学术

Modular finger and hand motion capturing system based on inertial and magnetic sensors

Published:2017-03-01 Issue:1 Volume:3 Page:19-23
ISSN:2364-5504
Container-title:Current Directions in Biomedical Engineering
language:
Short-container-title:

Author:

Valtin Markus¹,Salchow Christina¹,Seel Thomas¹,Laidig Daniel¹,Schauer Thomas¹

Affiliation:

1. 1Control Systems Group, Technische Universität Berlin, Einsteinufer 17, D-10587 Berlin, Germany

Abstract

Abstract:The assessment of hand posture and kinematics is increasingly important in various fields. This includes the rehabilitation of stroke survivors with restricted hand function. This paper presents a modular, ambulatory measurement system for the assement of the remaining hand function and for closed-loop controlled therapy. The device is based on inertial sensors and utilizes up to five interchangeable sensor strips to achieve modularity and to simplify the sensor attachment. We introduce the modular hardware design and describe algorithms used to calculate the joint angles. Measurements with two experimental setups demonstrate the feasibility and the potential of such a tracking device.

Publisher

Walter de Gruyter GmbH

Subject

Biomedical Engineering

Link

https://www.degruyter.com/document/doi/10.1515/cdbme-2017-0005/pdf

Reference14 articles.

1. Simplified Human Hand Models for Manipulation Tasks. In Cutting Edge Robotics 2010;InTech Sept,2010

2. A survey of glove-based systems and their applications;IEEE Trans Sys Man Cybernet Part C: Applic Rev,2008

3. ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion–Part II: shoulder, elbow, wrist and hand;J Biomech,2005

4. ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion–Part II: shoulder, elbow, wrist and hand;J Biomech,2005

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with stroke;Journal of NeuroEngineering and Rehabilitation;2024-08-10

2. The Use of Head-Mounted Display Systems for Upper Limb Kinematic Analysis in Post-Stroke Patients: A Perspective Review on Benefits, Challenges and Other Solutions;Bioengineering;2024-05-24

3. Calibration of a Hand Exoskeleton Motion Capture Device using 3D Magnetic Sensors;2023 20th International Conference on Ubiquitous Robots (UR);2023-06-25

4. IMU-based motion capture system for rehabilitation applications: A systematic review;Biomimetic Intelligence and Robotics;2023-06

5. Measurement of Hand Joint Angle Using Inertial-Based Motion Capture System;IEEE Transactions on Instrumentation and Measurement;2023