@inproceedings{saponas2009optically,
author = {Saponas, Scott and Kelly, Daniel and Parviz, Babak A. and Tan, Desney},
title = {Optically Sensing Tongue Gestures for Computer Input},
booktitle = {Proceedings ACM Symposium on User Interface Software and Technology},
year = {2009},
month = {October},
abstract = {Many patients with paralyzing injuries or medical conditions retain the use of their cranial nerves, which control the eyes, jaw, and tongue. While researchers have explored eye-tracking and speech technologies for these patients, we believe there is potential for directly sensing explicit tongue movement for controlling computers. In this paper, we describe a novel approach of using infrared optical sensors embedded within a dental retainer to sense tongue gestures. We describe an experiment showing our system effectively discriminating between four simple gestures with over 90% accuracy. In this experiment, users were also able to play the popular game Tetris with their tongues. Finally, we present lessons learned and opportunities for future work.},
publisher = {ACM},
url = {http://approjects.co.za/?big=en-us/research/publication/optically-sensing-tongue-gestures-computer-input/},
pages = {177-180},
edition = {Proceedings ACM Symposium on User Interface Software and Technology},
}