DocumentCode :
330222
Title :
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
Link To Document :
بازگشت