Title :
DigitEyes: vision-based hand tracking for human-computer interaction
Author :
Rehg, James M. ; Kanade, Takeo
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Abstract :
Computer sensing of hand and limb motion is an important problem for applications in human-computer 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
Keywords :
computer vision; feature extraction; human factors; image recognition; mouse controllers (computers); user interfaces; 3D mouse user-interface problem; DigitEyes; athletic performance measurement; computer sensing; feature extraction; gloves; gray scale images; hand motion; human-computer interaction; kinematic hand model; limb motion; sensors; tracking performance; virtual reality; vision-based hand tracking; Application software; Feature extraction; Human computer interaction; Kinematics; Measurement; Mice; Sensor phenomena and characterization; Target tracking; Virtual reality; Wearable sensors;
Conference_Titel :
Motion of Non-Rigid and Articulated Objects, 1994., Proceedings of the 1994 IEEE Workshop on
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6435-5
DOI :
10.1109/MNRAO.1994.346260
