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                <term xml:lang="en">gesture</term>
                <term xml:lang="en">recognition</term>
                <term xml:lang="en">time series</term>
                <term xml:lang="en">robotics</term>
                <term xml:lang="en">control</term>
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                <term xml:lang="fr">distances éastiques</term>
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                <term xml:lang="fr">robotique</term>
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              <p>Current robotics advances offer consequent potential for assistance, not only for individuals, but also for professionals operating on the ground, such as firemen or military. However, such operators must stay focused on their mission; hence they expect a non-invasive, intuitive control system, disrupting them as least as possible.  Furthermore, the inherent mobility arising from such missions (walking, running, jumping) must not be an obstacle to gesture recognition.  Here, we present a glove-based gesture detection algorithm, whose learning phase is instantaneous among a large span of possible gestures. It has been evaluated on a seven-word dictionary dedicated for the purpose of robot control, with satisfying recognition results.</p>
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              <p>Les progrès actuels de la robotique offrent des opportunités considérables , pas seulement pour les particuliers mais également les professionnels en mission, tels que des pompiers ou militaires. Cependant, ce type d'opérateurs doit rester focalisé sur sa mission et attend donc un moyen de contrôle qui soit peu intrusif et tr es intuitif. De plus, il est indispensable de livrer un système qui prend en compte la mobilité intrinsèque à ce type d'activité (marche, course, saut). Nous présentons ici un système de reconnaissance gestuelle à base de gant de données , à l'apprentissage instantané sur une large gamme de gestes possibles. Nous l'avons évalué sur sept gestes dédiés au contrôle d'un robot mobile, avec des résultats tout à fait satisfaisants.</p>
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