Articulated Hand Tracking by PCA-ICA Approach

Articulated Hand Tracking by PCA-ICA Approach

Kato et al perform PCA and ICA on hand motion data captured from a CyberGlove and determine that five components to hand motion can describe hand motion sufficiently: motion of the pinky, ring finger, middle finger, index finger, and thumb. These components are translated into a 3D model of the hand from which 2D visual templates are created. These templates allow a visual hand tracking system to project the image of the hand onto the five components and produce a representation of the hand.

Discussion
The input consists of touching various fingers to the palm, so of course the variation lies in how bent the fingers are. This seems like a lot of effort to get a system that models the hand by just how much the fingers are bent.

Reference
Articulated Hand Tracking by PCA-ICA Approach Makoto Kato, Yen-Wei Chen and Gang Xu Computer Vision Laboratory, College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Shiga 525-8577, Japan