DigitEyes: Vision-Based Hand Tracking for Human-Computer Interaction (1994)
| Venue: | In Proceedings of the workshop on Motion of Non-Rigid and Articulated Bodies |
| Citations: | 55 - 5 self |
BibTeX
@INPROCEEDINGS{Rehg94digiteyes:vision-based,
author = {James Rehg and Takeo Kanade},
title = {DigitEyes: Vision-Based Hand Tracking for Human-Computer Interaction},
booktitle = {In Proceedings of the workshop on Motion of Non-Rigid and Articulated Bodies},
year = {1994},
pages = {16--22},
publisher = {IEEE Computer Society Press}
}
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Abstract
Computer sensing of hand and limb motion is an important problem for applications in HumanComputer Interaction (HCI), virtual reality, and athletic performance measurement. Commercially available sensors are invasive, and require the user to wear gloves or targets. We have developed a noninvasive vision-based hand tracking system, called DigitEyes. Employing a kinematic hand model, the DigitEyes system has demonstrated tracking performance at speeds of up to 10 Hz, using line and point features extracted from gray scale images of unadorned, unmarked hands. We describe an application of our sensor to a 3D mouse user-interface problem. 1 Introduction A "human sensor" capable of tracking a person's spatial motion using techniques from Computer Vision would be a powerful tool for human-computer interfaces. Such a sensor could be located in the user's environment (rather than on their person) and could operate under natural conditions of lighting and dress, providing a degree of convenien...
