HapticV1, PascalFrancis, Checkpoint, bibRecord, 000A37

An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC

Identifieur interne : 000A37 ( PascalFrancis/Checkpoint ); précédent : 000A36; suivant : 000A38

An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC

Auteurs : Jung-Hyun Kim [Corée du Sud] ; Yong-Wan Roh [Corée du Sud] ; Kwang-Seok Hong [Corée du Sud]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2006.

RBID : Pascal:08-0051422

Descripteurs français

Pascal (Inist)
- Temps réel, Langage gestuel, Langage visuel, Linguistique, Traitement image, Signal vidéo, Informatique diffuse, Système réparti, Coréen, Corée, Vocabulaire, Réseau sans fil, Réseau capteur, Système modulaire, Intention, Geste, Informatique mobile, Sensibilité tactile, Phrase.
Wicri :
- topic : Linguistique.

English descriptors

KwdEn :
- Distributed system, Gesture, Image processing, Intention, Korea, Korean, Linguistics, Mobile computing, Modular system, Pervasive computing, Real time, Sensor array, Sentence, Sign language, Tactile sensitivity, Video signal, Visual languages, Vocabulary, Wireless network.

Abstract

Korean Standard Sign Language (hereinafter, "KSSL") is a complex visual-spatial language that is used by the deaf community in the South Korea. Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.

Affiliations:

Corée du Sud

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Le document en format XML

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<front><div type="abstract" xml:lang="en">Korean Standard Sign Language (hereinafter, "KSSL") is a complex visual-spatial language that is used by the deaf community in the South Korea. Wire communications net and desktop PC-based a traditional study on sign language linguistics with small vocabulary (words) have several restrictions (e.g. limitation of the motion, conditionality in the space) and general problems (e.g. inaccuracy in measuring, necessity of complex computation algorithm) according to using of vision technologies with image capture and video processing system as input module of sign language signals. Consequently, in this paper we propose and implement ubiquitous-oriented wearable PC-based sentential KSSL recognizer that improve efficiency of KSSL input module according to wireless sensor network, recognizes and represents continuous KSSL with flexibility in real time, and analyze and notify definite intention of user more efficiently through correct measurement of KSSL gestures using wireless haptic devices. The experimental result shows an average recognition rate of 93.7% for continuous 44 KSSL sentences.</div>
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An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC

An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC

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