Recognition of Continuous Korean Sign Language Using Gesture Tension Model and Soft Computing Technique(Human-computer Interaction)
スポンサーリンク
概要
- 論文の詳細を見る
We present a method for recognition of continuous Korean Sign Language (KSL). In the paper, we consider the segmentation problem of a continuous hand motion pattern in KSL. For this, we first extract sign sentences by removing linking gestures between sign sentences. We use a gesture tension model and fuzzy partitioning. Then, each sign sentence is disassembled into a set of elementary motions (EMs) according to its geometric pattern. The hidden Markov model is adopted to classify the segmented individual EMs.
- 社団法人電子情報通信学会の論文
- 2004-05-01
著者
-
Kim J‐b
Korean Advanced Inst. Sci. And Technol. (kaist) Daejeon Kor
-
Kim Jung-bae
Dept. Of Electrical Engineering And Computer Science Korea Advanced Institute Of Science And Technol
-
Bien Z
Dept. Of Electrical Engineering And Computer Science Korea Advanced Institute Of Science And Technol
-
Bien Zeungnam
Dept. Of Electrical Engineering And Computer Science Korea Advanced Institute Of Science And Technol
関連論文
- Cyclopropyl-containing Photoacid Generators for Chemically Amplified Resists
- Photobleaching Photoacid Generator
- Novel Molecular Resist Based on Derivative of Cholic Acid
- Postexposure Delay Effect in Chemically Amplified Resists
- 193-nm Photoresists Based on Norbornene Copolymers with Derivatives of Bile Acid
- Adhesion-promoted Copolymers for l93-nm Photoresists without Cross-linking during Lithographic Process
- Recognition of Continuous Korean Sign Language Using Gesture Tension Model and Soft Computing Technique(Human-computer Interaction)
- Introduction of a New Concept, Age, into the Multiobjective Evolutionary Algorithm in the Two Dimensional Space(Algorighms)