Computer Science

Fast head tilt detection for human-computer interaction

Document Type

Conference Paper

Abstract

Accurate head tilt detection has a large potential to aid people with disabilities in the use of human-computer interfaces and provide universal access to communication software. We show how it can be utilized to tab through links on a web page or control a video game with head motions. It may also be useful as a correction method for currently available video-based assistive technology that requires upright facial poses. Few of the existing computer vision methods that detect head rotations in and out of the image plane with reasonable accuracy can operate within the context of a real-time communication interface because the computational expense that they incur is too great. Our method uses a variety of metrics to obtain a robust head tilt estimate without incurring the computational cost of previous methods. Our system runs in real time on a computer with a 2.53 GHz processor, 256 MB of RAM and an inexpensive webcam, using only 55% of the processor cycles. © Springer-Verlag Berlin Heidelberg 2005.

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication Date

2005

Volume

3766 LNCS

First Page

90

Last Page

99

ISSN

0302-9743

ISBN

9783540296201

DOI

10.1007/11573425_9

Keywords

image processing, human computer interaction, pattern recognition

APA Citation

Waber, B. N., Magee, J. J., & Betke, M. (2005). Fast head tilt detection for human-computer interaction. In Computer Vision in Human-Computer Interaction: ICCV 2005 Workshop on HCI, Beijing, China, October 21, 2005. Proceedings (pp. 90-99). Springer Berlin Heidelberg.

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