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Titolo:
MODEL-BASED ARTICULATED HAND MOTION TRACKING FOR GESTURE RECOGNITION
Autore:
LIEN CC; HUANG CL;
Indirizzi:
NATL TSING HUA UNIV,INST ELECT ENGN HSINCHU TAIWAN NATL TSING HUA UNIV,INST ELECT ENGN HSINCHU TAIWAN
Titolo Testata:
Image and vision computing
fascicolo: 2, volume: 16, anno: 1998,
pagine: 121 - 134
SICI:
0262-8856(1998)16:2<121:MAHMTF>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Keywords:
MODEL-BASED; GESTURE RECOGNITION; REAL-TIME IMPLEMENTABLE HAND MOTION TRACKING; FINGER INVERSE KINEMATICS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
CompuMath Citation Index
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
17
Recensione:
Indirizzi per estratti:
Citazione:
C.C. Lien e C.L. Huang, "MODEL-BASED ARTICULATED HAND MOTION TRACKING FOR GESTURE RECOGNITION", Image and vision computing, 16(2), 1998, pp. 121-134

Abstract

Conventional model-based hand gesture analysis systems require high computation cost to solve the finger inverse kinematics that makes themvery difficult for real-time implementation. In this paper, we propose a fast hand model fitting method for the tracking of hand motion. The model fitting method consists of (1) finding the closed-form inversekinematics solution for the finger fitting process, and (2) defining the alignment measure for the wrist fitting process. In the experiments, we illustrate that our hand model fitting method is effective and real-time implementable. (C) 1998 Elsevier Science B.V.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 09/04/20 alle ore 07:31:06