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A Vision-Based Method for Recognizing Non-manual Information in Japanese Sign Language
Ist Teil von
Advances in Multimodal Interfaces — ICMI 2000, 2000, p.572-581
Ort / Verlag
Berlin, Heidelberg: Springer Berlin Heidelberg
Erscheinungsjahr
2000
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
This paper describes a vision-based method for recognizing the non- manual information in Japanese Sign Language (JSL). This new modality information provides grammatical constraints useful for JSL word segmentation and interpretation. Our attention is focused on head motion, the most dominant non-manual information in JSL. We designed an interactive color-modeling scheme for robust face detection. Two video cameras are vertically arranged to take the frontal and profile image of the JSL user, and head motions are classified into eleven patterns. Moment-based feature and statistical motion feature are adopted to represent these motion patterns. Classification of the motion features is performed with linear discrimant analysis method. Initial experimental results show that the method has good recognition rate and can be realized in real-time.