Status: Completed
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 GHzp rocessor, 256 MB
of RAM and an inexpensive webcam, using only 55% of the processor
cycles.
Appears in proceedings of the ICCV Workshop on Human Computer Interaction. Lecture Notes in Computer Science, 10 pp., Beijng, China, October 2005. Springer Verlag.
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