More Web Proxy on the site http://driver.im/

research-article

SmartGlove for upper extremities rehabilitative gaming assessment

Authors:

Ming-Chun Huang,

Chien-Yen Chang,

Majid SarrafzadehAuthors Info & Claims

PETRA '12: Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 20, Pages 1 - 4

https://doi.org/10.1145/2413097.2413122

Published: 06 June 2012 Publication History

Abstract

This paper presents a quantitative assessment solution for an upper extremities rehabilitative gaming application [1]. This assessment solution consists of a set of stand-alone hardware, including SmartGlove and Kinect, a depth capturing sensor made by Microsoft. SmartGlove is a specially designed motion and finger angle extraction device which is packaged in an easy-to-wear and adjustable manner for a patient with an upper extremity impairment. Sensor data extraction, alignment, and visualization algorithms were designed for integrating hand-mounted sensors data streams into skeleton coordinates captured by the Kinect. This enhanced skeleton information can be summarized and replayed as upper extremity joint coordinate animations which can be used for physical therapists to quantify rehabilitation progress. In addition, to serve as an assessment tool, enhanced skeleton information can be used to extend the capability of the Kinect vision system, such as providing motion capture of the upper extremities, even when the testing subject is out of camera scope or one's upper extremities are occluded by the body.

References

[1]

M. Huang and E. Chen and W. Xu and M. Sarrafzadeh, "Gaming for upper extremities rehabilitation," in Wireless Health, p. 27, ACM Press, 2011.

Digital Library

[2]

American Heart Association, "Heart disease and stroke statistics-2012 update," Circulation, vol. 125, no. 1, pp. e12--e230, 2012.

[3]

S. Flynn and P. Palma and A. Bender, "Feasibility of using the sony playstation 2 gaming platform for an individual poststroke: A case report," Journal of neurologic physical therapy, vol. 31, no. 4, pp. 180--189, 2007.

[4]

B. Lange and E. Suma and B. Newman and T. Phan and C. Chang and A. Rizzo and M. Bolas, "Leveraging Unencumbered Full Body Control of Animated Virtual Characters for Game-Based Rehabilitation," in Proceedings of Human Computer Interface, pp. 243--252, HCI Press, 2011.

Digital Library

[5]

A. Fugl-Meyer and L. Jaasko and I. Leyman and S. Olsson and S. Steglind, "The post-stroke hemiplegic patient a method for evaluation of physical performance," Scandinavian journal of rehabilitation medicine, vol. 7, no. 1, pp. 71--78, 1975.

[6]

C. R. Cameron and L. W. Divalentin and R. Manaktala and A. C. McElhaney and C. H. Nostrand and O. J. Quinlan and L. N. Sharpe and A. C. Slagle and C D. Wod and Y. Z. Yang and G. J Gerling, "Hand tracking and visualization in a virtual reality simulation," in Systems and Information Engineering Design Symposium, pp. 127--132, IEEE Press, 2011.

[7]

Z. Ren and J. Yuan and Z. Zhang, "Robust Hand Gesture Recognition Based on Finger-Earth Mover Distance with a Commodity Depth Camera," in Proceedings of the 19th ACM international conference on Multimedia, pp. 1093--1096, ACM Press, 2011.

Digital Library

[8]

I. Oikonomidis and N. Kyriazis and A. Argyros, "Efficient Model-based 3D Tracking of Hand Articulations using Kinect," in Proceedings of the British Machine Vision Conference, pp. 101.1--101.11, BMVA Press, 2011.

[9]

S. Vutinuntakasame and V. R. Jaijongrak and S. Thiemjarus, "An Assistive Body Sensor Network Glove for Speech- and Hearing-Impaired Disabilities," in Body Sensor Networks, 2011 International Conference on, pp. 7--12, IEEE Press, 2011.

Digital Library

[10]

N. Amini and W. Xu, Z. Li, M. Huang, M. Sarrafzadeh, "Experimental Analysis of IEEE 802.15.4 for On/Off Body Communications," in IEEE 22nd International Symposium on Personal Indoor and Mobile Radio Communications, pp. 2138--2142, IEEE Press, 2011.

[11]

B. d. Bouvrie, "Improving RGBD Indoor Mapping with IMU data," Master's thesis, Delft University of Technology, 2011.

[12]

L. Ojeda and J. Borenstein, "Personal Dead-reckoning System for GPS-denied Environments," in IEEE International Workshop on Safety, Security, and Rescue Robotics, pp. 1--6, IEEE Press, 2007.

[13]

"News - SparkFun Electronics." http://www.sparkfun.com/.

[14]

"Grover Gear Medical - home of Wheelchair Tire Covers-Wheel Chair Gloves." http://www.grovergear.com/servlet/StoreFront.

[15]

"Maya - 3D animation software - Autodesk." http://usa.autodesk.com/maya/.

Cited By

Ham YYang DChoi YShin J(2024)Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with strokeJournal of NeuroEngineering and Rehabilitation10.1186/s12984-024-01418-621:1Online publication date: 10-Aug-2024
https://doi.org/10.1186/s12984-024-01418-6
Alves ADantas R(2022)A non-invasive middleware for games adaptation and motor rehabilitation controlsProceedings of the 24th Symposium on Virtual and Augmented Reality10.1145/3604479.3604485(1-10)Online publication date: 24-Oct-2022
https://dl.acm.org/doi/10.1145/3604479.3604485
Gavrilova MAhmed FBari ALiu RLiu TMaret YSieu BSudhakar T(2020)Multi-Modal Motion-Capture-Based Biometric Systems for Emergency Response and Patient RehabilitationResearch Anthology on Rehabilitation Practices and Therapy10.4018/978-1-7998-3432-8.ch032(653-678)Online publication date: 21-Aug-2020
https://doi.org/10.4018/978-1-7998-3432-8.ch032
Show More Cited By

Index Terms

SmartGlove for upper extremities rehabilitative gaming assessment
1. Applied computing
  1. Life and medical sciences

Recommendations

Gaming for upper extremities rehabilitation
WH '11: Proceedings of the 2nd Conference on Wireless Health

This paper presents a hand motion capture system. Its application is a wearable controller for an upper extremities rehabilitation game. The system consists of a wearable data glove platform (SmartGlove, a customized finger pressure, bending, and 9DOM ...
Analyzing coordination of upper and lower extremities in human gait
BodyNets '09: Proceedings of the Fourth International Conference on Body Area Networks

Human gait has been studied in biomechanical and clinical research for a long time. Researchers use many different tools to detect and analyze human walking motions. 3D kinematic data captured by motion capture system is one of powerful tools to analyze ...
Rehabilitation application of a haptic device for upper limbs disable
iCREATe '10: Proceedings of the 4th International Convention on Rehabilitation Engineering & Assistive Technology

Interest in the devices for rehabilitation applications have been increasing. And the devices before have proved that they might assist in and quantify the rehabilitation for upper limbs disable caused by stroke. This paper is to introduce ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

PETRA '12: Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments

June 2012

307 pages

ISBN:9781450313001

DOI:10.1145/2413097

Conference Chair:
Fillia Makedon
University of Texas at Arlington

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

U of Tex at Arlington: U of Tex at Arlington

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Division of Information and Intelligent Systems

Conference

PETRA2012

Sponsor:

U of Tex at Arlington

PETRA2012: The 5th International Conference on PErvasive Technologies Related to Assistive Environments

June 6 - 8, 2012

Crete, Heraklion, Greece

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

18
Total Citations
View Citations
389
Total Downloads

Downloads (Last 12 months)8
Downloads (Last 6 weeks)2

Reflects downloads up to 26 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Ham YYang DChoi YShin J(2024)Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with strokeJournal of NeuroEngineering and Rehabilitation10.1186/s12984-024-01418-621:1Online publication date: 10-Aug-2024
https://doi.org/10.1186/s12984-024-01418-6
Alves ADantas R(2022)A non-invasive middleware for games adaptation and motor rehabilitation controlsProceedings of the 24th Symposium on Virtual and Augmented Reality10.1145/3604479.3604485(1-10)Online publication date: 24-Oct-2022
https://dl.acm.org/doi/10.1145/3604479.3604485
Gavrilova MAhmed FBari ALiu RLiu TMaret YSieu BSudhakar T(2020)Multi-Modal Motion-Capture-Based Biometric Systems for Emergency Response and Patient RehabilitationResearch Anthology on Rehabilitation Practices and Therapy10.4018/978-1-7998-3432-8.ch032(653-678)Online publication date: 21-Aug-2020
https://doi.org/10.4018/978-1-7998-3432-8.ch032
Gavrilova MAhmed FBari ALiu RLiu TMaret YSieu BSudhakar T(2019)Multi-Modal Motion-Capture-Based Biometric Systems for Emergency Response and Patient RehabilitationDesign and Implementation of Healthcare Biometric Systems10.4018/978-1-5225-7525-2.ch007(160-184)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-7525-2.ch007
Guo GSegal JZhang HXu WGanti RJiang XPicco GZhou X(2019)ARMove: A smartphone augmented reality exergaming system for upper and lower extremities stroke rehabilitationProceedings of the 17th Conference on Embedded Networked Sensor Systems10.1145/3356250.3361951(384-385)Online publication date: 10-Nov-2019
https://dl.acm.org/doi/10.1145/3356250.3361951
Lin FAjay JLangan JCavuoto LNwogu ISubryan HXu W(2019)QM-FOrMS: A portable and cost-effective upper extremity rehabilitation systemSmart Health10.1016/j.smhl.2019.100080(100080)Online publication date: Oct-2019
https://doi.org/10.1016/j.smhl.2019.100080
Dimaguila GGray KMerolli M(2018)Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature ReviewJMIR Rehabilitation and Assistive Technologies10.2196/rehab.91235:1(e11)Online publication date: 8-May-2018
https://doi.org/10.2196/rehab.9123
Yang DChoi Y(2018)Palm glove: wearable glove based on palm-camera for thumb-to-finger tap recognition2018 International Conference on Information and Communication Technology Convergence (ICTC)10.1109/ICTC.2018.8539616(549-551)Online publication date: Oct-2018
https://doi.org/10.1109/ICTC.2018.8539616
Vu TTran HSong CLin FLangan JCavuoto LBrown SXu W(2018)BiGRA: A preliminary bilateral hand grip coordination rehabilitation using home-based evaluation system for stroke patients2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN)10.1109/BSN.2018.8329647(13-16)Online publication date: Mar-2018
https://doi.org/10.1109/BSN.2018.8329647
Rodríguez-Hernández MFernández-Panadero CLópez-Martín OPolonio-López B(2017)Hand Rehabilitation after Chronic Brain Damage: Effectiveness, Usability and Acceptance of Technological Devices: A Pilot StudyPhysical Disabilities - Therapeutic Implications10.5772/67532Online publication date: 14-Jun-2017
https://doi.org/10.5772/67532
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents