Paper
5 October 1998 Head gesture recognition technique for visual user interface
Su-Hwan Kim, Hyunil Choi, Ji-Beom Yoo, Phill-Kyu Rhee, Y. C. Park
Author Affiliations +
Proceedings Volume 3527, Multimedia Storage and Archiving Systems III; (1998) https://doi.org/10.1117/12.325823
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
This paper addresses a technique of recognizing a head gesture. The proposed system is composed of eye tracking and head motion decision. The eye tracking step is divided into face detection and eye location. Face detection obtains the face region using neural network and mosaic image representation. Eye location extracts the location of eyes from the detected face region. Eye location is performed in the region close to a pair of eyes for real-time eye tracking. If a pair of eyes is not located, face detection is performed again. After eye tracking is performed, the coordinates of the detected eye are transformed into the normalized vector of the x-coordinate and the y-coordinate. Three methods are tested for head motion decision: head gesture recognition with direct observation, head gesture recognition using two HMMs, and head gesture recognition using three HMMs. Head gesture can be recognized by direct observation of the variation of the vector, but the variation of the vector can be observed by two-HMMs for more accurate recognition. However, because this method doesn't recognize neutral head gesture, three-HMMs learned by a directional vector is adopted. The directional vector represents the direction of head movement. The vector is inputted into HMMs to determine neutral gesture as well as positive and negative gesture. Combined head gesture recognition using above three methods is also discussed. The experimental results are reported.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Su-Hwan Kim, Hyunil Choi, Ji-Beom Yoo, Phill-Kyu Rhee, and Y. C. Park "Head gesture recognition technique for visual user interface", Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); https://doi.org/10.1117/12.325823
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Head

Eye

Gesture recognition

Facial recognition systems

Image segmentation

Visualization

Human-machine interfaces

Back to Top