Segmentation of human upper body movement using multiple IMU sensors

Takashi Aoki, Jonathan Feng Shun Lin, Dana Kulic, Gentiane Venture

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

7 Citations (Scopus)

Abstract

This paper proposes an approach for the segmentation of human body movements measured by inertial measurement unit sensors. Using the angular velocity and linear acceleration measurements directly, without converting to joint angles, we perform segmentation by formulating the problem as a classification problem, and training a classifier to differentiate between motion end-point and within-motion points. The proposed approach is validated with experiments measuring the upper body movement during reaching tasks, demonstrating classification accuracy of over 85.8%.

Original languageEnglish
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016)
EditorsJose Principe, Jose Carmena, Justin Sanchez
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3163-3166
Number of pages4
ISBN (Electronic)9781457702204
ISBN (Print)9781457702198
DOIs
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2016: Empowering Individual Healthcare Decisions through Technology - Walt Disney World Resort, Orlando, United States of America
Duration: 16 Aug 201620 Aug 2016
Conference number: 38th
https://embc.embs.org/2016/

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2016
Abbreviated titleEMBC 2016
CountryUnited States of America
CityOrlando
Period16/08/1620/08/16
Internet address

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