Finger posture estimation using 3D medial axes

Yun Ouedraogo, Yoshimitsu Aoki

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

2 Citations (Scopus)

Abstract

We propose a method for tracking a hand in real-time, using depth information from a single Kinect sensor. The fingers are segmented using medial axes on an image generated by the depth discontinuities. The palm position and orientation is estimated from the position of the wrist as well as the distance to the closest contour points. The detected medial axes are projected in the palm plane for labelling, and then used for direct posture estimation of unoccluded phalanges. Inverse kinematics provide the missing information in case of occlusion. Our approach can be related to an inverse kinematics approach based on fingertip detection, with additional robustness to fingertip occlusion provided by the medial axis of each visible phalanx.

Original languageEnglish
Title of host publicationProceedings - 2014 7th International Conference on Human System Interactions, HSI 2014
PublisherIEEE Computer Society
Pages71-75
Number of pages5
ISBN (Print)9781479947140
DOIs
Publication statusPublished - 2014 Jan 1
Event7th International Conference on Human System Interactions, HSI 2014 - Lisbon, Portugal
Duration: 2014 Jun 162014 Jun 18

Publication series

NameProceedings - 2014 7th International Conference on Human System Interactions, HSI 2014

Other

Other7th International Conference on Human System Interactions, HSI 2014
CountryPortugal
CityLisbon
Period14/6/1614/6/18

    Fingerprint

ASJC Scopus subject areas

  • Human-Computer Interaction

Cite this

Ouedraogo, Y., & Aoki, Y. (2014). Finger posture estimation using 3D medial axes. In Proceedings - 2014 7th International Conference on Human System Interactions, HSI 2014 (pp. 71-75). [6860451] (Proceedings - 2014 7th International Conference on Human System Interactions, HSI 2014). IEEE Computer Society. https://doi.org/10.1109/HSI.2014.6860451