Departmental Papers (ESE)

Abstract

We present a system for generation and recognition of oscillatory gestures. Inspired by gestures used in two representative human-to-human control areas, we consider a set of oscillatory (circular) motions and refine from them a 24 gestures lexicon. Each gesture is modeled as a dynamic system with added geometric constraints to allow for real time gesture recognition using a small amount of processing time and memory. The gestures are used to control a pan-tilt camera neck. The gesture lexicon is then enhanced to include non-linear in parameter ("come here") gesture representations. An enhancement is suggested which would enable the system to be trained to recognized previously unidentified yet consistent human generated oscillatory motion gestures.

Document Type

Conference Paper

Subject Area

GRASP, Kodlab

Date of this Version

October 1997

Comments

Copyright 1997 IEEE. Reprinted from Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 1997. 'Computational Cybernetics and Simulation', 1997 , Volume 5, pages 4513 - 4518.

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NOTE: At the time of publication, author Daniel Koditschek was affiliated with the University of Michigan. Currently, he is a faculty member in the School of Engineering at the University of Pennsylvania.

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Date Posted: 10 April 2008

This document has been peer reviewed.