A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition

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A hybrid neural network/rule-based technique for on-line gesture and hand-written character recognition

A technique is presented which combines rule-based and neural network pattern recognition methods in an integrated system in order to perform learning and recognition of hand-written characters and gestures in realtime. The GesRec system is introduced which provides a framework for data acquisiti...

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Bibliographic Details
Main Authors:	Craven, Michael P., Curtis, K. Mervyn, Hayes-Gill, Barrie H., Thursfield, C.D.
Format:	Conference or Workshop Item
Published:	1997
Subjects:	gesture recognition dissimilarity similarity segmentation text-to-speech gesture-to-speech sign language 3D tracking Augmentative and Alternative Communication AAC human computer interaction HCI
Online Access:	https://eprints.nottingham.ac.uk/1902/

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