HACS: Hand Action Coding System for anatomy-based synthesis of hand gestures

Author

Ip, Horace H S ; Chan, Sam C S ; Lam, Maria S W

Author_Institution

Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, Hong Kong

Volume

2

fYear

1998

fDate

11-14 Oct 1998

Firstpage

1207

Abstract

Previously (H.S. Horace et al., 1997), we presented an anatomy based hierarchical model for hand motion simulation. We present a hand gesture coding system which we called Hand Action Coding System (HACS). It is an extension of our previous work. With HACS, the simulation allows specification of hand motion in a high level manner. The underlying computational complexities of motion simulation are separated from the high level motion descriptions. When humans want to perform some hand functions or hand gestures, the brain gives instructions and activates the corresponding hand muscles. HACS codifies hand gestures in terms of these hand muscle action units (HAU). When combined with our anatomy based hand model, HACS eases the specification of complex hand gestures/motion animation sequence

Keywords

biocybernetics; biology computing; computer animation; digital simulation; encoding; gesture recognition; motion control; motion estimation; HACS; Hand Action Coding System; anatomy based hand model; anatomy based hierarchical model; anatomy based synthesis; computational complexities; hand functions; hand gesture coding system; hand gestures/motion animation sequence; hand motion simulation; hand muscle action units; high level hand motion specification; high level motion descriptions; Anatomy; Animation; Brain modeling; Computational modeling; Fingers; Geometry; Humans; Muscles; Physics; Solid modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.727873

Filename

727873