A novel kinect-based algorithm for inferring the position of the lower body joints using human gait pattern

Sagda E. K. Osman, Guy C. Hembroff, Marcos Almeida Matos

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

3 Citations (Scopus)

Abstract

The Microsoft Kinect has gained wide popularity in health-related applications due to its low-cost, portability and ability to detect and track multiple body joints. Nevertheless, studies showed that the Kinect manifested inaccuracy when tracking the joints of the lower body, especially in non-ideal tracking conditions. In this work, a new algorithm was proposed for rectifying this tracking problem. As a proof of concept, the proposed algorithm was implemented only for the ankle joint because its readings contained the noisiest return values when compared to other joints. The proposed algorithm was used for inferring the joint's position in the 3D space. We were able to infer the ankle joint's position using the subject's gait pattern as expressed by the lower joints' angles and geometric relationships between these joints.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Healthcare Informatics
Subtitle of host publicationICHI 2018
Place of PublicationLos Alamitos, California
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages307-312
Number of pages6
ISBN (Electronic)9781538653777
ISBN (Print)9781538653784
DOIs
Publication statusPublished - 24 Jul 2018
Externally publishedYes
Event6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States
Duration: 4 Jun 20187 Jun 2018

Conference

Conference6th IEEE International Conference on Healthcare Informatics, ICHI 2018
Country/TerritoryUnited States
CityNew York
Period4/06/187/06/18

Keywords

  • 3D Space
  • Forward Kinametics
  • Gait
  • Gait Pattern
  • Joint
  • Joint'S Position
  • Kinect

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