Ghosh dullal (4 risultati)

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2013

      3659454729 / 9783659454721

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      Da: preigu, Osnabrück, Germaniapreigu

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      EUR 22,50

      EUR 70,00 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 5 disponibili

      Taschenbuch. Condizione: Neu. Commanding An Avatar Through Mind | An Approach Towards a Paradigm Shift in Adaptive Brain-Computer Interface for Robotic or Wheel-Chair Based Navigation | Dullal Ghosh (u. a.) | Taschenbuch | 68 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659454721 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Nov 2013, 2013

      3659454729 / 9783659454721

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      EUR 23,90

      EUR 23,00 spedizione 
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      Quantità: 2 disponibili

      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Among several, one of the main goals of Brain-Computer Interface (BCI) system is to improve the quality of life of paralyzed persons. While significant effort has been made to recognize user intention, the necessity of predicting user intention in the context of BCI for navigation to design a dynamic interface, has not been addressed yet. State-of-the-art BCI system has low bandwidth because of which the user is subjected to much cognitive or interaction load. However a BCI system designed with dynamic customization feature to adapt as per individual user, would indeed reduce the interaction load and provide embodiment feeling to the user. Therefore this book describes an intelligent BCI based on reinforcement learning approach to learn the user behavior and predict the intentions in the context of a robotic navigation. Even with an adaptive BCI, the system is error-prone due to misclassification of the user's intention. This book also focuses on Support Vector Machines (SVM) classifier for detecting error-related potentials and shows comparable classification performance of SVM to that of state-of-the-art classifiers such as Gaussian classifier and Bayesian filter methods. 68 pp. Englisch.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2013

      3659454729 / 9783659454721

      • Brossura
      • Print on Demand

      Da: moluna, Greven, Germaniamoluna

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      Condizione: Nuovo

      EUR 22,32

      EUR 48,99 spedizione 
      Spedito da Germania a U.S.A.

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ghosh DullalDullal Ghosh holds a bachelor s degree in Mechanical Engineering from NIT-Allahabad, India. He has completed master s program in Mechatronics from KTH, Sweden and master thesis work related to Brain-Computer Interface at .

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Nov 2013, 2013

      3659454729 / 9783659454721

      • Brossura
      • Print on Demand

      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Condizione: Nuovo

      EUR 23,90

      EUR 60,00 spedizione 
      Spedito da Germania a U.S.A.

      Quantità: 1 disponibili

      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Among several, one of the main goals of Brain-Computer Interface (BCI) system is to improve the quality of life of paralyzed persons. While significant effort has been made to recognize user intention, the necessity of predicting user intention in the context of BCI for navigation to design a dynamic interface, has not been addressed yet. State-of-the-art BCI system has low bandwidth because of which the user is subjected to much cognitive or interaction load. However a BCI system designed with dynamic customization feature to adapt as per individual user, would indeed reduce the interaction load and provide embodiment feeling to the user. Therefore this book describes an intelligent BCI based on reinforcement learning approach to learn the user behavior and predict the intentions in the context of a robotic navigation. Even with an adaptive BCI, the system is error-prone due to misclassification of the user's intention. This book also focuses on Support Vector Machines (SVM) classifier for detecting error-related potentials and shows comparable classification performance of SVM to that of state-of-the-art classifiers such as Gaussian classifier and Bayesian filter methods.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.