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Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Condition: New.
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Challenges and Applications for Hand Gesture Recognition (Advances in Computatinal Inteligence and Robotics)
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 139.90
£ 11.98 shipping
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Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Condition: As New. Unread book in perfect condition.
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Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 139.89
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Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 154.54
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Challenges and Applications for Hand Gesture Recognition
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Challenges and Applications for Hand Gesture Recognition (Advances in Computational Intelligence and Robotics)
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 180.86
£ 11.98 shipping
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Challenges and Applications for Hand Gesture Recognition (Advances in Computatinal Inteligence and Robotics)
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Challenges and Applications for Hand Gesture Recognition (Advances in Computational Intelligence and Robotics)
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Challenges and Applications for Hand Gesture Recognition
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 142.31
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Challenges and Applications for Hand Gesture Recognition
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Challenges and Applications for Hand Gesture Recognition (Advances in Computatinal Inteligence and Robotics)
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Condition: New. Print on Demand.
-
Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 reference is ideal for researchers, aca.
-
Challenges and Applications for Hand Gesture Recognition (Advances in Computatinal Inteligence and Robotics)
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Condition: New. Print on Demand.
-
Challenges and Applications for Hand Gesture Recognition (Advances in Computatinal Inteligence and Robotics)
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Condition: New. PRINT ON DEMAND.
-
Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Taschenbuch. Condition: Neu. Challenges and Applications for Hand Gesture Recognition | Lalit Kane (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Engineering Science Reference | EAN 9781799894353 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
Condition: 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.
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Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894355 ISBN 13: 9781799894353
Taschenbuch. Condition: 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.
-
Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
Buch. Condition: 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.
-
Challenges and Applications for Hand Gesture Recognition
Language: English
Published by Engineering Science Reference, 2022
ISBN 10: 1799894347 ISBN 13: 9781799894346
Buch. Condition: 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.
