@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

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    dct:description """
              This paper describes experiments with techniques for tracking hands and recognizing gestures. Complementary techniques are presented for detecting and tracking hands and tools. These techniques are integrated within a system which uses multiple image processing techniques to estimate the position and orientation of a hand. Images of the tracked hand are normalized in orientation and position and then projected into a principal components space. Hand configurations are represented using a probabilistic classification. Gestures are recognized in this space as sequences of hand configurations using finite state machines. 1 Direct Manipulation of Objects as an Interaction Modality Human gesture serves three functional roles [4]: semiotic, ergotic, and epistemic. The semiotic function of gesture is to communicate meaningful information. The structure of a semiotic gesture is conventional and commonly results from shared cultural experience. The good-bye gesture, the American sign language... (http://www-prima.imag.fr/Prima/Homepages/jlc/papers/PUI97.Crowley.pdf)
            """ ;
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    dct:issued "2026-05-17T19:08:04.727368"^^xsd:dateTime ;
    dct:language "en" ;
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    dct:publisher <https://rec.harvest-normandie.data4citizen.com/organization/cce9db95-46d9-4dc2-84b6-764215d0a002> ;
    dct:title "Visual processes for tracking and recognition of hand gestures" ;
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    dcat:keyword "conference-papers",
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        "gestures",
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    dct:modified "2026-05-17T19:08:04.706787"^^xsd:dateTime ;
    dct:title "Visual processes for tracking and recognition of hand gestures" ;
    dcat:accessURL <https://hal.science/hal-00699798> .

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