Title

Poster: Real-Time Markerless Kinect Based Finger Tracking And Hand Gesture Recognition For Hci

Keywords

Finger tracking; hand gestures; human computer interaction; Microsoft Kinect

Abstract

Hand gestures are intuitive ways to interact with a variety of user interfaces. We developed a real-time finger tracking technique using the Microsoft Kinect as an input device and compared its results with an existing technique that uses the K-curvature algorithm. Our technique calculates feature vectors based on Fourier descriptors of equidistant points chosen on the silhouette of the detected hand and uses template matching to find the best match. Our preliminary results show that our technique performed as well as an existing k-curvature algorithm based finger detection technique. © 2013 IEEE.

Publication Date

10-7-2013

Publication Title

IEEE Symposium on 3D User Interface 2013, 3DUI 2013 - Proceedings

Number of Pages

187-188

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/3DUI.2013.6550241

Socpus ID

84884848980 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84884848980

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