An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC
Identifieur interne : 000A04 ( PascalFrancis/Corpus ); précédent : 000A03; suivant : 000A05An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC
Auteurs : Jung-Hyun Kim ; Yong-Wan Roh ; Kwang-Seok HongSource :
- Lecture notes in computer science [ 0302-9743 ] ; 2006.
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- KwdEn :
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.
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Format Inist (serveur)
NO : | PASCAL 08-0051422 INIST |
---|---|
ET : | An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC |
AU : | KIM (Jung-Hyun); ROH (Yong-Wan); HONG (Kwang-Seok) |
AF : | School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu/Suwon, KyungKi-do, 440-746/Corée, République de (1 aut., 2 aut., 3 aut.) |
DT : | Publication en série; Congrès; Niveau analytique |
SO : | Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 3991; Pp. 886-893; Bibl. 10 ref. |
LA : | Anglais |
EA : | 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. |
CC : | 001D02C04; 001D02C03; 001D02B04 |
FD : | 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 |
FG : | Asie |
ED : | Real time; Sign language; Visual languages; Linguistics; Image processing; Video signal; Pervasive computing; Distributed system; Korean; Korea; Vocabulary; Wireless network; Sensor array; Modular system; Intention; Gesture; Mobile computing; Tactile sensitivity; Sentence |
EG : | Asia |
SD : | Tiempo real; Lenguaje por signos; Linguística; Procesamiento imagen; Señal video; Informática difusa; Sistema repartido; Coreano; Corea; Vocabulario; Red sin hilo; Red sensores; Sistema modular; Intencíon; Gesto; Sensibilidad tactil; Frase |
LO : | INIST-16343.354000172811805890 |
ID : | 08-0051422 |
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Pascal:08-0051422Le 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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<fN21><s1>028</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
<pR><fA30 i1="01" i2="1" l="ENG"><s1>IInternational Conference on Computational Science</s1>
<s2>6</s2>
<s3>Reading GBR</s3>
<s4>2006</s4>
</fA30>
</pR>
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<server><NO>PASCAL 08-0051422 INIST</NO>
<ET>An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC</ET>
<AU>KIM (Jung-Hyun); ROH (Yong-Wan); HONG (Kwang-Seok)</AU>
<AF>School of Information and Communication Engineering, Sungkyunkwan University, 300, Chunchun-dong, Jangan-gu/Suwon, KyungKi-do, 440-746/Corée, République de (1 aut., 2 aut., 3 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 3991; Pp. 886-893; Bibl. 10 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
<CC>001D02C04; 001D02C03; 001D02B04</CC>
<FD>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</FD>
<FG>Asie</FG>
<ED>Real time; Sign language; Visual languages; Linguistics; Image processing; Video signal; Pervasive computing; Distributed system; Korean; Korea; Vocabulary; Wireless network; Sensor array; Modular system; Intention; Gesture; Mobile computing; Tactile sensitivity; Sentence</ED>
<EG>Asia</EG>
<SD>Tiempo real; Lenguaje por signos; Linguística; Procesamiento imagen; Señal video; Informática difusa; Sistema repartido; Coreano; Corea; Vocabulario; Red sin hilo; Red sensores; Sistema modular; Intencíon; Gesto; Sensibilidad tactil; Frase</SD>
<LO>INIST-16343.354000172811805890</LO>
<ID>08-0051422</ID>
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