Robust real-time 3D time-of-flight based gesture navigation

Penne J, Soutschek S, Fedorowicz S, Hornegger J (2008)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2008

Original Authors: Penne J., Soutschek S., Fedorowicz S., Hornegger J.

Book Volume: null

Pages Range: -

Event location: Amsterdam

Journal Issue: null

DOI: 10.1109/AFGR.2008.4813326

Abstract

Contactless Human-Machine-Interfaces (HMIs) are an important issue in various applications where a haptic in-teraction with an input device is not possible or not appro-priate. Newly developed Time-of-Flight cameras provide 3D information of the observed scene in real-time at con-stant lateral resolutions of thousands of pixels. Addition-ally, a gray-value image of the observed scene is available. Our work compromises three major contributions: First, the robust and real-time capable segmentation of the hand by incorporating 3D and gray-value information; Second, the reliable classification of the performed static gesture using robust features; Third, the design of an HMI which uses the classified gesture as well as the 3D position of the hand to enable complex and convenient user interactions. The benefit of using a ToF camera is that the 3D information is just not available from classical 2D camera systems and thus only with ToF cameras the three dimensions of free-dom which are given for non-haptic interactions can be fully used. Currently, classification rates of 98.2% are achieved user-dependent and 94.3% user-independent for 6 gestures. Tests with untrained persons yielded a good to very good acceptance of the HMI. © 2008 IEEE.

Authors with CRIS profile

How to cite

APA:

Penne, J., Soutschek, S., Fedorowicz, S., & Hornegger, J. (2008). Robust real-time 3D time-of-flight based gesture navigation. In Proceedings of the 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 (pp. -). Amsterdam.

MLA:

Penne, Jochen, et al. "Robust real-time 3D time-of-flight based gesture navigation." Proceedings of the 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008, Amsterdam 2008. -.

BibTeX: Download