Showing 5 open source projects for "hand gesture recognition java"

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  • 1

    PolyRec

    Unistroke gesture recognizer

    NEWS: PolyRec is now on GitHub. Please visit https://github.com/cluelab/polyrec PolyRec is a unistroke gesture recognizer suitable for fast prototyping of gesture-based applications. The recognizer uses a nearest neighbor approach, and requires a small number of samples for each class. The similarity between two gestures is calculated through a three steps procedure: -firstly, each gesture is approximated to a polyline, in order to extract its main movements; - then, the two...
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  • 2

    OPTIMA cidoc-crm Semantic Annotation

    Semantic annotation of archaeology reports with respect to CIDOC-CRM

    The semantic annotation system OPTIMA is the result of Andreas Vlachidis PhD work, (supervised by Prof. Douglas Tudhope, University of Glamorgan, UK). OPTIMA performs the NLP tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense Disambiguation using hand-crafted rules and SKOS terminological resources (English Heritage Thesauri and Glossaries). The resulted semantic annotations are associated with classes of the (ISO 21127:2006) CIDOC Conceptual...
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  • 3
    G.A.S.I.

    G.A.S.I.

    Webcam Gesture and Voice Recognition OS proof of concept

    Inspired by interfaces from sci-fi movies like Iron Man, Gesture Analytical Sonic Interface (GASI) is a proof of concept of a Webcam gesture (Kinect like) and Voice recognition based computer interface, constraining itself to only components included in average laptops (A simple webcam and microphone, no Kinect)
    Downloads: 0 This Week
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  • 4
    Neuroph OCR - Handwriting Recognition
    Neuroph OCR - Handwriting Recognition is developed to recognize hand written letter and characters. It's engine derived's from the Java Neural Network Framework - Neuroph and as such it can be used as a standalone project or a Neuroph plug in.
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  • 5
    Real-time Head Pose Estimation and Tracking, Eye Gaze Estimation and Gesture Recognition from USB or stereo camera
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