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Publicado por Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
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Idioma: Inglés
Publicado por Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
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Publicado por Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Highlights state-of-the-art practices in the direction of Automated Hand Gesture Recognition (HGR) research. The book provides a basis of information about HGR, as well as new and in-depth research in the field.KlappentextrnrnDue to the rise.
Idioma: Inglés
Publicado por Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoBuch. Condición: Neu. Challenges and Applications for Hand Gesture Recognition | Lalit Kane (u. a.) | Buch | Gebunden | Englisch | 2022 | Engineering Science Reference | EAN 9781799894346 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Idioma: Inglés
Publicado por Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 279,98
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Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to the rise of new applications in electronic appliances and pervasive devices, automated hand gesture recognition (HGR) has become an area of increasing interest. HGR developments have come a long way from the traditional sign language recognition (SLR) systems to depth and wearable sensor-based electronic devices. Where the former are more laboratory-oriented frameworks, the latter are comparatively realistic and practical systems. Based on various gestural traits, such as hand postures, gesture recognition takes different forms. Consequently, different interpretations can be associated with gestures in various application contexts. A considerable amount of research is still needed to introduce more practical gesture recognition systems and associated algorithms. Challenges and Applications for Hand Gesture Recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students.