A Kinect-based rehabilitation exercise monitoring and guidance system

Wenbing Zhao; Hai Feng; Roanna Lun; Deborah D Espy; M Ann Reinthal

doi:10.1109/ICSESS.2014.6933678

A Kinect-based rehabilitation exercise monitoring and guidance system

Wenbing Zhao
, Hai Feng
, Roanna Lun
, Deborah D Espy
, M Ann Reinthal

Cleveland State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

65 Scopus citations

Abstract

In this paper, we describe the design and implementation of a Kinect-based system for rehabilitation exercises monitoring and guidance. We choose to use the Unity framework to implement our system because it enables us to use virtual reality techniques to demonstrate detailed movements to the patient, and to facilitate examination of the quality and quantity of the patient sessions by the clinician. The avatar-based rendering of motion also preserves the privacy of the patients, which is essential for healthcare systems. The key contribution of our research is a rule-based approach to realtime exercise quality assessment and feedback. We developed a set of basic rule elements that can be used to express the correctness rules for common rehabilitation exercises.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
Editors	M. Surendra Prasad Babu, Li Wenzheng, Eric Tsui
Place of Publication	usa
Publisher	IEEE Computer Society
Pages	762-765
Number of pages	4
ISBN (Electronic)	9781479932788
DOIs	https://doi.org/10.1109/ICSESS.2014.6933678
State	Published - Oct 21 2014
Event	2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014 - Beijing, China Duration: Jun 27 2014 → Jun 29 2014

Conference

Conference	2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014
Country/Territory	China
City	Beijing
Period	06/27/14 → 06/29/14

Keywords

Depth Sensing
Kinect
Motion Analysis
Realtime Feedback
Virtual Reality

Access to Document

10.1109/ICSESS.2014.6933678

Cite this

Zhao, W., Feng, H., Lun, R., Espy, D. D., & Reinthal, M. A. (2014). A Kinect-based rehabilitation exercise monitoring and guidance system. In M. S. Prasad Babu, L. Wenzheng, & E. Tsui (Eds.), Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS (pp. 762-765). Article 6933678 IEEE Computer Society. https://doi.org/10.1109/ICSESS.2014.6933678

@inproceedings{3a8d7d55718944ef91ae0a270bfbc59b,

title = "A Kinect-based rehabilitation exercise monitoring and guidance system",

abstract = "In this paper, we describe the design and implementation of a Kinect-based system for rehabilitation exercises monitoring and guidance. We choose to use the Unity framework to implement our system because it enables us to use virtual reality techniques to demonstrate detailed movements to the patient, and to facilitate examination of the quality and quantity of the patient sessions by the clinician. The avatar-based rendering of motion also preserves the privacy of the patients, which is essential for healthcare systems. The key contribution of our research is a rule-based approach to realtime exercise quality assessment and feedback. We developed a set of basic rule elements that can be used to express the correctness rules for common rehabilitation exercises.",

keywords = "Depth Sensing, Kinect, Motion Analysis, Realtime Feedback, Virtual Reality",

author = "Wenbing Zhao and Hai Feng and Roanna Lun and Espy, \{Deborah D\} and Reinthal, \{M Ann\}",

year = "2014",

month = oct,

day = "21",

doi = "10.1109/ICSESS.2014.6933678",

language = "English",

pages = "762--765",

editor = "\{Prasad Babu\}, \{M. Surendra\} and Li Wenzheng and Eric Tsui",

booktitle = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",

publisher = "IEEE Computer Society",

note = "2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014 ; Conference date: 27-06-2014 Through 29-06-2014",

}

Zhao, W, Feng, H, Lun, R, Espy, DD & Reinthal, MA 2014, A Kinect-based rehabilitation exercise monitoring and guidance system. in MS Prasad Babu, L Wenzheng & E Tsui (eds), Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS., 6933678, IEEE Computer Society, usa, pp. 762-765, 2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014, Beijing, China, 06/27/14. https://doi.org/10.1109/ICSESS.2014.6933678

A Kinect-based rehabilitation exercise monitoring and guidance system. / Zhao, Wenbing; Feng, Hai; Lun, Roanna et al.
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS. ed. / M. Surendra Prasad Babu; Li Wenzheng; Eric Tsui. usa: IEEE Computer Society, 2014. p. 762-765 6933678.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Kinect-based rehabilitation exercise monitoring and guidance system

AU - Zhao, Wenbing

AU - Feng, Hai

AU - Lun, Roanna

AU - Espy, Deborah D

AU - Reinthal, M Ann

PY - 2014/10/21

Y1 - 2014/10/21

N2 - In this paper, we describe the design and implementation of a Kinect-based system for rehabilitation exercises monitoring and guidance. We choose to use the Unity framework to implement our system because it enables us to use virtual reality techniques to demonstrate detailed movements to the patient, and to facilitate examination of the quality and quantity of the patient sessions by the clinician. The avatar-based rendering of motion also preserves the privacy of the patients, which is essential for healthcare systems. The key contribution of our research is a rule-based approach to realtime exercise quality assessment and feedback. We developed a set of basic rule elements that can be used to express the correctness rules for common rehabilitation exercises.

AB - In this paper, we describe the design and implementation of a Kinect-based system for rehabilitation exercises monitoring and guidance. We choose to use the Unity framework to implement our system because it enables us to use virtual reality techniques to demonstrate detailed movements to the patient, and to facilitate examination of the quality and quantity of the patient sessions by the clinician. The avatar-based rendering of motion also preserves the privacy of the patients, which is essential for healthcare systems. The key contribution of our research is a rule-based approach to realtime exercise quality assessment and feedback. We developed a set of basic rule elements that can be used to express the correctness rules for common rehabilitation exercises.

KW - Depth Sensing

KW - Kinect

KW - Motion Analysis

KW - Realtime Feedback

KW - Virtual Reality

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84910069560&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84910069560&origin=inward

U2 - 10.1109/ICSESS.2014.6933678

DO - 10.1109/ICSESS.2014.6933678

M3 - Conference contribution

SP - 762

EP - 765

BT - Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS

A2 - Prasad Babu, M. Surendra

A2 - Wenzheng, Li

A2 - Tsui, Eric

PB - IEEE Computer Society

CY - usa

T2 - 2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014

Y2 - 27 June 2014 through 29 June 2014

ER -

A Kinect-based rehabilitation exercise monitoring and guidance system

Abstract

Conference

Keywords

Access to Document

Other files and links

Cite this