Human pose recovery for rehabilitation using ambulatory sensors

Jonathan Feng Shun Lin, Dana Kulic

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

6 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 languageEnglish
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages4799-4802
Number of pages4
ISBN (Print)9781457702167
DOIs
Publication statusPublished - 31 Oct 2013
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2013 - Osaka International Convention Center, Osaka, Japan
Duration: 3 Jul 20137 Jul 2013
Conference number: 35th
https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding (Proceedings)

Publication series

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

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2013
Abbreviated titleEMBC 2013
Country/TerritoryJapan
CityOsaka
Period3/07/137/07/13
Internet address

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