Human pose recovery for rehabilitation using ambulatory sensors

Jonathan Feng Shun Lin; Dana Kulic

doi:10.1109/EMBC.2013.6610621

Human pose recovery for rehabilitation using ambulatory sensors

Jonathan Feng Shun Lin, Dana Kulic

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

7 Citations (Scopus)

Abstract

In this paper, an approach for lower-leg pose recovery from ambulatory sensors is implemented and validated in a clinical setting. Inertial measurement units are attached to patients undergoing physiotherapy. The sensor data is combined with a kinematic model within an extended Kalman filter framework to perform joint angle estimation. Anthropometric joint limits and process noise adaptation are employed to improve the quality of the joint angle estimation. The proposed approach is tested on 7 patients following total hip or knee joint replacement surgery. The proposed approach achieves an average root-mean-square error of 0.12 radians at key poses.

Original language	English
Title of host publication	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	4799-4802
Number of pages	4
ISBN (Print)	9781457702167
DOIs	https://doi.org/10.1109/EMBC.2013.6610621
Publication status	Published - 31 Oct 2013
Externally published	Yes
Event	International Conference of the IEEE Engineering in Medicine and Biology Society 2013 - Osaka International Convention Center, Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013 Conference number: 35th https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding (Proceedings)

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	International Conference of the IEEE Engineering in Medicine and Biology Society 2013
Abbreviated title	EMBC 2013
Country/Territory	Japan
City	Osaka
Period	3/07/13 → 7/07/13
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding (Proceedings)

Access to Document

10.1109/EMBC.2013.6610621

Cite this

Lin, J. F. S., & Kulic, D. (2013). Human pose recovery for rehabilitation using ambulatory sensors. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 (pp. 4799-4802). [6610621] (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2013.6610621

Lin, Jonathan Feng Shun ; Kulic, Dana. / Human pose recovery for rehabilitation using ambulatory sensors. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. IEEE, Institute of Electrical and Electronics Engineers, 2013. pp. 4799-4802 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "Human pose recovery for rehabilitation using ambulatory sensors",

abstract = "In this paper, an approach for lower-leg pose recovery from ambulatory sensors is implemented and validated in a clinical setting. Inertial measurement units are attached to patients undergoing physiotherapy. The sensor data is combined with a kinematic model within an extended Kalman filter framework to perform joint angle estimation. Anthropometric joint limits and process noise adaptation are employed to improve the quality of the joint angle estimation. The proposed approach is tested on 7 patients following total hip or knee joint replacement surgery. The proposed approach achieves an average root-mean-square error of 0.12 radians at key poses.",

author = "Lin, {Jonathan Feng Shun} and Dana Kulic",

year = "2013",

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day = "31",

doi = "10.1109/EMBC.2013.6610621",

language = "English",

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series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "4799--4802",

booktitle = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013",

address = "United States of America",

note = "International Conference of the IEEE Engineering in Medicine and Biology Society 2013, EMBC 2013 ; Conference date: 03-07-2013 Through 07-07-2013",

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}

Lin, JFS & Kulic, D 2013, Human pose recovery for rehabilitation using ambulatory sensors. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013., 6610621, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, IEEE, Institute of Electrical and Electronics Engineers, pp. 4799-4802, International Conference of the IEEE Engineering in Medicine and Biology Society 2013, Osaka, Japan, 3/07/13. https://doi.org/10.1109/EMBC.2013.6610621

Human pose recovery for rehabilitation using ambulatory sensors. / Lin, Jonathan Feng Shun; Kulic, Dana.
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. IEEE, Institute of Electrical and Electronics Engineers, 2013. p. 4799-4802 6610621 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

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N2 - In this paper, an approach for lower-leg pose recovery from ambulatory sensors is implemented and validated in a clinical setting. Inertial measurement units are attached to patients undergoing physiotherapy. The sensor data is combined with a kinematic model within an extended Kalman filter framework to perform joint angle estimation. Anthropometric joint limits and process noise adaptation are employed to improve the quality of the joint angle estimation. The proposed approach is tested on 7 patients following total hip or knee joint replacement surgery. The proposed approach achieves an average root-mean-square error of 0.12 radians at key poses.

AB - In this paper, an approach for lower-leg pose recovery from ambulatory sensors is implemented and validated in a clinical setting. Inertial measurement units are attached to patients undergoing physiotherapy. The sensor data is combined with a kinematic model within an extended Kalman filter framework to perform joint angle estimation. Anthropometric joint limits and process noise adaptation are employed to improve the quality of the joint angle estimation. The proposed approach is tested on 7 patients following total hip or knee joint replacement surgery. The proposed approach achieves an average root-mean-square error of 0.12 radians at key poses.

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Lin JFS, Kulic D. Human pose recovery for rehabilitation using ambulatory sensors. In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013. IEEE, Institute of Electrical and Electronics Engineers. 2013. p. 4799-4802. 6610621. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2013.6610621

Human pose recovery for rehabilitation using ambulatory sensors

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