research-article

Quantitative evaluation of the kinect skeleton tracker for physical rehabilitation exercises

Authors:

Shawn N. Gieser,

Vangelis Metsis,

Fillia MakedonAuthors Info & Claims

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 48, Pages 1 - 4

https://doi.org/10.1145/2674396.2674429

Published: 27 May 2014 Publication History

Get Access

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

Quantitative evaluation of the kinect skeleton tracker for physical rehabilitation exercises

Pages 1 - 4

Abstract
References

Abstract

Using video game technology in physical rehabilitation has shown many positive results in the past few years. The release of the Microsoft Kinect has presented many new opportunities for development in physical rehabilitation technologies. However, there have been questions about the Kinect's accuracy in actual experimentation. In this paper, we compare skeleton data obtained by a Kinect to that obtained by a VICON system in order to determine the accuracy of the Kinect while a tracked subject is moving their arm around. This is the first steps towards a much larger physical rehabilitation system.

References

[1]

Weiss, P. L., Rand, D., Katz N., Kizony, R. 2004. Video Capture Virtual Reality as a Flexible and Effective Rehabilitation. In Journal of NeruoEngineering and Rehabilitation 2004. Vol 1, no 12.

Google Scholar

[2]

Sveistrup, H. 2004 Motor Rehabilitation Using Virtual Reality. Journal of NeuroEngineering and Rehabilitation. Vol 1, no 10.

Google Scholar

[3]

Murgia, A., Wolff, R., Sharkey, P. M., and Clark, B. 2008. Low-Cost Optical Tracking for Immersive Collaboration in the CAVE Using Will Remote, ICDVRAT with ArtAbilitation. pp. 103--109.

Google Scholar

[4]

Chang, Y. J., Chen, S. F., Huang, J. D., 2011. A Kinect-Based System for Physical Rehabilitation: A Pilot Study for Young Adults with Motor Disabilities. In Research in Developmental Disabilities. Vol 32, no 6. pp 2566--2570.

Crossref

Google Scholar

[5]

Staranowicz, A., Brown, G., Mariottini, G. L. 2013. Evaluating the Accuracy of a Mobile Kinect-Based Gait-Monitoring System for Fall Prediction. In Proceedings fo the 6^th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA '13)

Digital Library

Google Scholar

[6]

Huang, J. D. 2011. Kinerehab: A Kinect-Based System for Physical Rehabilitation: A Pilot Study for Young Adults with Motor Disabilities. In The Proc. of 13^th International ACM SIGACCESS Conference on Computers and Accessibility (Assests '11).

Digital Library

Google Scholar

[7]

Lange, B., Chang, C. Y., Suma, E., Newman, B., Rizzo, A. S., Bolas M. 2011. Development and Evaluation of Low Cost Game-Based Balance Rehabilitation Tool Using the Microsoft Kinect Sensor. In 33^rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011).

Crossref

Google Scholar

[8]

Dutta, T. 2012. Evaluation of the Kinect Sensor for 3-D Kinematic Measurement in the Workplace. In Applied Ergonomics. Vol 43, no 4. pp 645--649.

Crossref

Google Scholar

[9]

Stone, E., Skubic, M. 2011. Evaluation of an Inexpensive Depth Camera for In-Home Gait Assessment. In Journal of Ambient Intelligence and Smart Environments. Vol. 3, no 4. pp 349--361.

Digital Library

Google Scholar

[10]

Clark, R. A., Pua, Y. H., Fortin, K., Ritchie, C., Webster, K. E., Denehy, L., Bryant, A. L. 2012. Validity of the Microsoft Kinect for assessment of Postural Control. In Gait and Posture. Vol 36, no 3. pp 327--377.

Crossref

Google Scholar

[11]

Vicon Motion Capture System {Online}. http://www.vicon.com/.

Google Scholar

[12]

Microsoft Corp. Kinect Software Development Kit (SDK). http://www.microsoft.com/en-us/kinectforwindows/.

Google Scholar

[13]

Chang, C. Y., Lange, B., Zhang, M., Koeing, S., Requejo, P., Somboon, N., Sawchuk, A. A., Rizzo, A. A. 2012. In 6^th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '12).

Google Scholar

Cited By

View all

Lioulemes ATheofanidis MMakedon F(2021)Quantitative analysis of the human upper-limp kinematic model for robot-based rehabilitation applications2016 IEEE International Conference on Automation Science and Engineering (CASE)10.1109/COASE.2016.7743521(1061-1066)Online publication date: 11-Mar-2021
https://dl.acm.org/doi/10.1109/COASE.2016.7743521
Zhong QWang XWang W(2019)Research on Teenagers’ Static Balance Ability Based on Somatosensory InteractionAdvances in Applied Sociology10.4236/aasoci.2019.9100209:01(15-31)Online publication date: 2019
https://doi.org/10.4236/aasoci.2019.91002
Pandit STran SGu YSaraee EJansen FSingh SCao SSadeghi AShandelman EEllis TBetke MMakedon F(2019)ExerciseCheckProceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3316782.3321537(101-109)Online publication date: 5-Jun-2019
https://dl.acm.org/doi/10.1145/3316782.3321537
Show More Cited By

Index Terms

Quantitative evaluation of the kinect skeleton tracker for physical rehabilitation exercises
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Animation
      1. Motion capture
      2. Motion processing

Recommendations

Development and evaluation of a unity-based, kinect-controlled avatar for physical rehabilitation
PETRA '15: Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments

This paper presents our work in developing a 3D Avatar representation of a physical therapist, to guide the rehabilitation process of patient, while the therapist is not physically present. We describe our development approach, and assess the motion ...
A Kinect-Based System for Physical Rehabilitation: Utilizing Tai Chi Exercises to Improve Movement Disorders in Patients with Balance Ability
AMS '13: Proceedings of the 2013 7th Asia Modelling Symposium

In this paper, we present a Kinect-based rehabilitation system to assist patients with movement disorders by performing the "seated Tai Chi" exercises at home. With this physical rehabilitation system, we can evaluate whether patients achieve ...
Evaluation of Upper Limb Joint's Range of Motion Data by Kinect Sensor for Rehabilitation Exercise Game
ICMHI '19: Proceedings of the 3rd International Conference on Medical and Health Informatics

Rehabilitation is a tedious process both for patients and physiotherapists. Many games have been developed, especially for upper limb rehabilitation, to help training more enjoyable for patients which results in an increase in participation and ...

Comments

Information & Contributors

Information

Published In

PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 2014

408 pages

ISBN:9781450327466

DOI:10.1145/2674396

Conference Chair:
Fillia Makedon
University of Texas at Arlington
,
Program Chairs:
Mark Clements
Georgia Institute of Technology
,
Catherine Pelachaud
TELECOM ParisTech, France
,
Vana Kalogeraki
Athens University of Economics and Bus
,
Ilias Maglogiannis
University of Piraeus, Greece

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 May 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Conference

PETRA '14

Sponsor:

iPerform Center
CSE@UTA
HERACLEIA
U of Tex at Arlington
NCRS
Fulbrigh, Greece

PETRA '14: The 7th International Conference on PErvasive Technologies Related to Assistive Environments

May 27 - 30, 2014

Rhodes, Greece

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
249
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Lioulemes ATheofanidis MMakedon F(2021)Quantitative analysis of the human upper-limp kinematic model for robot-based rehabilitation applications2016 IEEE International Conference on Automation Science and Engineering (CASE)10.1109/COASE.2016.7743521(1061-1066)Online publication date: 11-Mar-2021
https://dl.acm.org/doi/10.1109/COASE.2016.7743521
Zhong QWang XWang W(2019)Research on Teenagers’ Static Balance Ability Based on Somatosensory InteractionAdvances in Applied Sociology10.4236/aasoci.2019.9100209:01(15-31)Online publication date: 2019
https://doi.org/10.4236/aasoci.2019.91002
Pandit STran SGu YSaraee EJansen FSingh SCao SSadeghi AShandelman EEllis TBetke MMakedon F(2019)ExerciseCheckProceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3316782.3321537(101-109)Online publication date: 5-Jun-2019
https://dl.acm.org/doi/10.1145/3316782.3321537
Gu YPandit SSaraee ENordahl TEllis TBetke M(2019)Home-Based Physical Therapy with an Interactive Computer Vision System2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)10.1109/ICCVW.2019.00320(2619-2628)Online publication date: Oct-2019
https://doi.org/10.1109/ICCVW.2019.00320
Baqai AMemon KMemon AShah S(2019)Interactive PhysiotherapyWireless Personal Communications: An International Journal10.1007/s11277-018-5382-5106:4(1719-1741)Online publication date: 1-Jun-2019
https://dl.acm.org/doi/10.1007/s11277-018-5382-5
Matsumoto MKaneta KNaruoka MTanaka HTakano K(2017)Tracking Positions of Human Body Parts Based on Distance Measurement with Sound Wave2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA)10.1109/WAINA.2017.135(514-518)Online publication date: Mar-2017
https://doi.org/10.1109/WAINA.2017.135
Saraee ERamrakhyani KSanan ASingh SBetke M(2016)The Kinect Versus The ProficioProceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2910674.2935842(1-2)Online publication date: 29-Jun-2016
https://dl.acm.org/doi/10.1145/2910674.2935842

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.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Development and evaluation of a unity-based, kinect-controlled avatar for physical rehabilitation

A Kinect-Based System for Physical Rehabilitation: Utilizing Tai Chi Exercises to Improve Movement Disorders in Patients with Balance Ability

Evaluation of Upper Limb Joint's Range of Motion Data by Kinect Sensor for Rehabilitation Exercise Game

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations