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

Identifieur interne : 000A57 ( PascalFrancis/Curation ); précédent : 000A56; suivant : 000A58

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 :

RBID : Pascal:08-0051422

Descripteurs français

English descriptors

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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A08 01  1  ENG  @1 An Implementation of Real Time-Sentential KSSL Recognition System Based on the Post Wearable PC
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A11 03  1    @1 HONG (Kwang-Seok)
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C01 01    ENG  @0 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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pR  
A30 01  1  ENG  @1 IInternational Conference on Computational Science @2 6 @3 Reading GBR @4 2006

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Pascal:08-0051422

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<fC03 i1="12" i2="X" l="SPA">
<s0>Red sin hilo</s0>
<s5>21</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE">
<s0>Réseau capteur</s0>
<s5>22</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG">
<s0>Sensor array</s0>
<s5>22</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA">
<s0>Red sensores</s0>
<s5>22</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE">
<s0>Système modulaire</s0>
<s5>23</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG">
<s0>Modular system</s0>
<s5>23</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA">
<s0>Sistema modular</s0>
<s5>23</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE">
<s0>Intention</s0>
<s5>24</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG">
<s0>Intention</s0>
<s5>24</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA">
<s0>Intencíon</s0>
<s5>24</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE">
<s0>Geste</s0>
<s5>25</s5>
</fC03>
<fC03 i1="16" i2="X" l="ENG">
<s0>Gesture</s0>
<s5>25</s5>
</fC03>
<fC03 i1="16" i2="X" l="SPA">
<s0>Gesto</s0>
<s5>25</s5>
</fC03>
<fC03 i1="17" i2="3" l="FRE">
<s0>Informatique mobile</s0>
<s5>26</s5>
</fC03>
<fC03 i1="17" i2="3" l="ENG">
<s0>Mobile computing</s0>
<s5>26</s5>
</fC03>
<fC03 i1="18" i2="X" l="FRE">
<s0>Sensibilité tactile</s0>
<s5>27</s5>
</fC03>
<fC03 i1="18" i2="X" l="ENG">
<s0>Tactile sensitivity</s0>
<s5>27</s5>
</fC03>
<fC03 i1="18" i2="X" l="SPA">
<s0>Sensibilidad tactil</s0>
<s5>27</s5>
</fC03>
<fC03 i1="19" i2="X" l="FRE">
<s0>Phrase</s0>
<s5>41</s5>
</fC03>
<fC03 i1="19" i2="X" l="ENG">
<s0>Sentence</s0>
<s5>41</s5>
</fC03>
<fC03 i1="19" i2="X" l="SPA">
<s0>Frase</s0>
<s5>41</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Asie</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>Asia</s0>
<s2>NG</s2>
</fC07>
<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>
</standard>
</inist>
</record>

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