Evaluation of pose tracking accuracy in the first and second generations of microsoft Kinect

Qifei Wang, Gregorij Kurillo, Ferda Ofli, Ruzena Bajcsy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

70 Citations (Scopus)

Abstract

Microsoft Kinect camera and its skeletal tracking capabilities have been embraced by many researchers and commercial developers in various applications of real-time human movement analysis. In this paper, we evaluate the accuracy of the human kinematic motion data in the first and second generation of the Kinect system, and compare the results with an optical motion capture system. We collected motion data in 12 exercises for 10 different subjects and from three different viewpoints. We report on the accuracy of the joint localization and bone length estimation of Kinect skeletons in comparison to the motion capture. We also analyze the distribution of the joint localization offsets by fitting a mixture of Gaussian and uniform distribution models to determine the outliers in the Kinect motion data. Our analysis shows that overall Kinect 2 has more robust and more accurate tracking of human pose as compared to Kinect 1.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages380-389
Number of pages10
ISBN (Electronic)9781467395489
DOIs
Publication statusPublished - 8 Dec 2015
Event3rd IEEE International Conference on Healthcare Informatics, ICHI 2015 - Dallas, United States
Duration: 21 Oct 201523 Oct 2015

Other

Other3rd IEEE International Conference on Healthcare Informatics, ICHI 2015
CountryUnited States
CityDallas
Period21/10/1523/10/15

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ASJC Scopus subject areas

  • Health Informatics

Cite this

Wang, Q., Kurillo, G., Ofli, F., & Bajcsy, R. (2015). Evaluation of pose tracking accuracy in the first and second generations of microsoft Kinect. In Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015 (pp. 380-389). [7349715] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2015.54