This book covers the basic criteria to solve these issues by motorizing the wheelchair and making control with less dampening. The main objective to remove the joystick with an electronic hand gesture recognition system that makes directing the wheelchair easier and hassle-free. The hand gesture recognition systems need a clear background and bright surrounding. Camera-based image recognition systems are slow and need perfect surrounding. The proposed idea go for an alternate option with hand gesture recognition using electromagnetic field pad.
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K. Martin Sagayam, is expertise in artificial intelligence and smart devices using machine learning algorithms.Puja Das, is expertise in artificial intelligence and block chain technology.Asik Rahaman Jamader, is expertise in hospitality management and big data analytics.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers the basic criteria to solve these issues by motorizing the wheelchair and making control with less dampening. The main objective to remove the joystick with an electronic hand gesture recognition system that makes directing the wheelchair easier and hassle-free. The hand gesture recognition systems need a clear background and bright surrounding. Camera-based image recognition systems are slow and need perfect surrounding. The proposed idea go for an alternate option with hand gesture recognition using electromagnetic field pad. 56 pp. Englisch. Bestandsnummer des Verkäufers 9786202796460
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book covers the basic criteria to solve these issues by motorizing the wheelchair and making control with less dampening. The main objective to remove the joystick with an electronic hand gesture recognition system that makes directing the wheelchair easier and hassle-free. The hand gesture recognition systems need a clear background and bright surrounding. Camera-based image recognition systems are slow and need perfect surrounding. The proposed idea go for an alternate option with hand gesture recognition using electromagnetic field pad. Bestandsnummer des Verkäufers 9786202796460
Anzahl: 1 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Martin Sagayam K.K. Martin Sagayam, is expertise in artificial intelligence and smart devices using machine learning algorithms.Puja Das, is expertise in artificial intelligence and block chain technology.Asik Rahaman Jamader, is exp. Bestandsnummer des Verkäufers 494133200
Anzahl: Mehr als 20 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers the basic criteria to solve these issues by motorizing the wheelchair and making control with less dampening. The main objective to remove the joystick with an electronic hand gesture recognition system that makes directing the wheelchair easier and hassle-free. The hand gesture recognition systems need a clear background and bright surrounding. Camera-based image recognition systems are slow and need perfect surrounding. The proposed idea go for an alternate option with hand gesture recognition using electromagnetic field pad.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Bestandsnummer des Verkäufers 9786202796460
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Virtual Control Of Wheelchair Using Simple Hand Gestures | For Physically Impaired People | K. Martin Sagayam (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202796460 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 119049387
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