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Vision-based static hand gesture recognition using support vector machines
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In: http://satnac.org.za/proceedings/2002/bband2/Naidoo - 476.pdf (1998)
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Abstract:
Given that advances in technology have increased rapidly over the past few years, developing a vision-based recog-nition system that could aid in the interaction between the Deaf and the hearing does not sound that far-fetched anymore. We can distinguish between two categories of hand gestures, namely static and dynamic. A static gesture is a particular hand configu-ration and pose represented by a single image. A dynamic gesture is a moving gesture, represented by a sequence of images. This makes signed language a good test case for the classification of gestures, since each gesture is assigned a particular meaning. This paper will focus on the development of a system that will recog-nise static hand images against complex backgrounds based on South African Sign Language (SASL). A Support Vector Recogni-tion system will be used to classify hand postures as gestures, due to its high generalization performance without the need to add a-priori knowledge, even when the dimensions of the input space is very high.
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Keyword:
HSV; Index Terms — Support Vector Machines; Local color his- tograms; South African Sign Language (SASL
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.472.4088
http://satnac.org.za/proceedings/2002/bband2/Naidoo - 476.pdf
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