The implementation of a kinect-based postural assessment system

Mu Chun Su; Sheng Hung Lin; Shu Fang Lee; Yu Shiang Huang; Huang Ren Chen

doi:10.1007/978-3-319-39601-9_45

The implementation of a kinect-based postural assessment system

Mu Chun Su, Sheng Hung Lin, Shu Fang Lee, Yu Shiang Huang, Huang Ren Chen

Department of Computer Science and Information Engineering

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

1 Scopus citations

Abstract

In some hospitals, rehabilitation professionals usually adopt the visual assessment incorporated with some posture charts to assess whether a patient has good postures while he or she is standing still or stretching some joints. While the advantages of the visual assessment are its simplicity and no need of expensive equipment, its disadvantages are imprecise, subjective, inefficient, etc. In this paper, we report the implement of a Kinect-based postural assessment system which is able to perform postural assessment and create an analysis report with 62 measurements including 22 angles, 35 distances, and 5 postural rotations. Based on the proposed Kinect-based postural assessment system, rehabilitation specialists are then able to objectively assess the treatment effect after each individual course of treatment. Some experiments were designed to measure the accuracy of the proposed system to verify whether it has the potential of being adopted at hospitals.

Original language	English
Title of host publication	Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Proceedings
Editors	Carl K. Chang, Hai Jin, Yu Cao, Hamdi Aloulou, Mounir Mokhtari, Lorenzo Chiari
Publisher	Springer Verlag
Pages	503-513
Number of pages	11
ISBN (Print)	9783319396002
DOIs	https://doi.org/10.1007/978-3-319-39601-9_45
State	Published - 2016
Event	14th International Conference on Smart Homes and Health Telematics, ICOST 2016 - Wuhan, China Duration: 25 May 2016 → 27 May 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9677
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Smart Homes and Health Telematics, ICOST 2016
Country/Territory	China
City	Wuhan
Period	25/05/16 → 27/05/16

Keywords

Gaits
Kinect
Postural assessment
Postures
Therapeutic exercise

Access to Document

10.1007/978-3-319-39601-9_45

The Development of Kinect-based Rehabilitation Systems(1/2)
Su, M.
1/08/15 → 31/07/16
Project: Research

Cite this

Su, M. C., Lin, S. H., Lee, S. F., Huang, Y. S., & Chen, H. R. (2016). The implementation of a kinect-based postural assessment system. In C. K. Chang, H. Jin, Y. Cao, H. Aloulou, M. Mokhtari, & L. Chiari (Eds.), Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Proceedings (pp. 503-513). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9677). Springer Verlag. https://doi.org/10.1007/978-3-319-39601-9_45

Su, Mu Chun ; Lin, Sheng Hung ; Lee, Shu Fang et al. / The implementation of a kinect-based postural assessment system. Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Proceedings. editor / Carl K. Chang ; Hai Jin ; Yu Cao ; Hamdi Aloulou ; Mounir Mokhtari ; Lorenzo Chiari. Springer Verlag, 2016. pp. 503-513 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Su, MC, Lin, SH, Lee, SF, Huang, YS & Chen, HR 2016, The implementation of a kinect-based postural assessment system. in CK Chang, H Jin, Y Cao, H Aloulou, M Mokhtari & L Chiari (eds), Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9677, Springer Verlag, pp. 503-513, 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Wuhan, China, 25/05/16. https://doi.org/10.1007/978-3-319-39601-9_45

The implementation of a kinect-based postural assessment system. / Su, Mu Chun; Lin, Sheng Hung; Lee, Shu Fang et al.
Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Proceedings. ed. / Carl K. Chang; Hai Jin; Yu Cao; Hamdi Aloulou; Mounir Mokhtari; Lorenzo Chiari. Springer Verlag, 2016. p. 503-513 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9677).

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

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T1 - The implementation of a kinect-based postural assessment system

AU - Su, Mu Chun

AU - Lin, Sheng Hung

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N2 - In some hospitals, rehabilitation professionals usually adopt the visual assessment incorporated with some posture charts to assess whether a patient has good postures while he or she is standing still or stretching some joints. While the advantages of the visual assessment are its simplicity and no need of expensive equipment, its disadvantages are imprecise, subjective, inefficient, etc. In this paper, we report the implement of a Kinect-based postural assessment system which is able to perform postural assessment and create an analysis report with 62 measurements including 22 angles, 35 distances, and 5 postural rotations. Based on the proposed Kinect-based postural assessment system, rehabilitation specialists are then able to objectively assess the treatment effect after each individual course of treatment. Some experiments were designed to measure the accuracy of the proposed system to verify whether it has the potential of being adopted at hospitals.

AB - In some hospitals, rehabilitation professionals usually adopt the visual assessment incorporated with some posture charts to assess whether a patient has good postures while he or she is standing still or stretching some joints. While the advantages of the visual assessment are its simplicity and no need of expensive equipment, its disadvantages are imprecise, subjective, inefficient, etc. In this paper, we report the implement of a Kinect-based postural assessment system which is able to perform postural assessment and create an analysis report with 62 measurements including 22 angles, 35 distances, and 5 postural rotations. Based on the proposed Kinect-based postural assessment system, rehabilitation specialists are then able to objectively assess the treatment effect after each individual course of treatment. Some experiments were designed to measure the accuracy of the proposed system to verify whether it has the potential of being adopted at hospitals.

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Su MC, Lin SH, Lee SF, Huang YS, Chen HR. The implementation of a kinect-based postural assessment system. In Chang CK, Jin H, Cao Y, Aloulou H, Mokhtari M, Chiari L, editors, Inclusive Smart Cities and Digital Health - 14th International Conference on Smart Homes and Health Telematics, ICOST 2016, Proceedings. Springer Verlag. 2016. p. 503-513. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-39601-9_45

The implementation of a kinect-based postural assessment system

Abstract

Publication series

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Keywords

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The Development of Kinect-based Rehabilitation Systems(1/2)

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