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Rozaliev, Vladimir L.; Orlova, Yulia A. – International Association for Development of the Information Society, 2013
This paper presents a new approach to automated identification of human emotions based on analysis of body movements, a recognition of gestures and poses. Methodology, models and automated system for emotion identification are considered. To characterize the person emotions in the model, body movements are described with linguistic variables and a…
Descriptors: Psychological Patterns, Emotional Response, Human Body, Motion
Stokoe, William C. – Sign Language Studies, 2005
Many moments that humans see naturally suggest something other than themselves. This is a legacy from the remotest time. Among animals, movements of prey and predator give each an indication of what may happen next and a basis for choosing their own actions. As species evolved, the movements that could be made and the meanings that could be…
Descriptors: American Sign Language, Verbs, Color, Nouns
Schembri, Adam; Jones, Caroline; Burnham, Denis – Journal of Deaf Studies and Deaf Education, 2005
Recent research into signed languages indicates that signs may share some properties with gesture, especially in the use of space in classifier constructions. A prediction of this proposal is that there will be similarities in the representation of motion events by sign-naive gesturers and by native signers of unrelated signed languages. This…
Descriptors: Sign Language, Deafness, Verbs, Contrastive Linguistics

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