Human Factors Evaluation of a Vision-Based Facial Gesture Interface
Abstract
We adapted a vision-based face tracking system for cursor control by head movement. An additional vision-based algorithm allowed the user to enter a click by opening the mouth. The Fitts law information throughput rate of cursor movements was measured to be 2.0 bits/sec with the ISO 9241-9 international standard method for testing input devices. A usability assessment was also conducted and we report and discuss the results. A practical application of this facial gesture interface was studied: text input using the Dasher system, which allows a user to type by moving the cursor. The measured typing speed was 7-12 words/minute, depending on level of user expertise. Performance of the system is compared to a conventional mouse interface.
Cite
Text
de Silva et al. "Human Factors Evaluation of a Vision-Based Facial Gesture Interface." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003. doi:10.1109/CVPRW.2003.10055Markdown
[de Silva et al. "Human Factors Evaluation of a Vision-Based Facial Gesture Interface." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2003.](https://mlanthology.org/cvprw/2003/desilva2003cvprw-human/) doi:10.1109/CVPRW.2003.10055BibTeX
@inproceedings{desilva2003cvprw-human,
title = {{Human Factors Evaluation of a Vision-Based Facial Gesture Interface}},
author = {de Silva, Gamhewage Chaminda and Lyons, Michael J. and Kawato, Shinjiro and Tetsutani, Nobuji},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2003},
pages = {52},
doi = {10.1109/CVPRW.2003.10055},
url = {https://mlanthology.org/cvprw/2003/desilva2003cvprw-human/}
}