A brain-computer interfaces (BCI) directly uses brain-activity signals to allow users to operate the environment without any muscular activation. A successful BCI system enables a person to control some aspects of his or her environment (such as lights in the room, a television, a neural prosthesis or a computer) by analyzing his or her brain signals. Specific features of the user's brain activity (or neurological phenomenon) that relate to their intent to control a device are measured. These features are then translated to control commands that are used to control the device. Three major problems in this novel technology are identifies the brain signal features best suited for communication, artifacts that can occur during the signal acquisition and translation algorithms. In this research different methods have been used for handle these components.
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Abdolreza Asadi Ghanbari é Ph.D. em inteligência artificial (IA). Os meus principais tópicos de investigação são o processamento de sinais e métodos de aprendizagem mecânica para o BCI; tive várias experiências nestes campos, especialmente no contexto académico. Os meus outros interesses de investigação são programação matemática, sistema de apoio à decisão e core banking.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A brain-computer interfaces (BCI) directly uses brain-activity signals to allow users to operate the environment without any muscular activation. A successful BCI system enables a person to control some aspects of his or her environment (such as lights in the room, a television, a neural prosthesis or a computer) by analyzing his or her brain signals. Specific features of the user's brain activity (or neurological phenomenon) that relate to their intent to control a device are measured. These features are then translated to control commands that are used to control the device. Three major problems in this novel technology are identifies the brain signal features best suited for communication, artifacts that can occur during the signal acquisition and translation algorithms. In this research different methods have been used for handle these components. 60 pp. Englisch. Bestandsnummer des Verkäufers 9786202052627
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Asadi Ghanbari AbdolrezaAbdolreza Asadi Ghanbari is a Ph.D in artificial intelligence (AI). My principal topics of research are signal processing and machine learning methods for BCI I have had several experiences in these fields es. Bestandsnummer des Verkäufers 385923347
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Taschenbuch. Zustand: Neu. Neuware -A brain-computer interfaces (BCI) directly uses brain-activity signals to allow users to operate the environment without any muscular activation. A successful BCI system enables a person to control some aspects of his or her environment (such as lights in the room, a television, a neural prosthesis or a computer) by analyzing his or her brain signals. Specific features of the user¿s brain activity (or neurological phenomenon) that relate to their intent to control a device are measured. These features are then translated to control commands that are used to control the device. Three major problems in this novel technology are identifies the brain signal features best suited for communication, artifacts that can occur during the signal acquisition and translation algorithms. In this research different methods have been used for handle these components.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. Bestandsnummer des Verkäufers 9786202052627
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A brain-computer interfaces (BCI) directly uses brain-activity signals to allow users to operate the environment without any muscular activation. A successful BCI system enables a person to control some aspects of his or her environment (such as lights in the room, a television, a neural prosthesis or a computer) by analyzing his or her brain signals. Specific features of the user's brain activity (or neurological phenomenon) that relate to their intent to control a device are measured. These features are then translated to control commands that are used to control the device. Three major problems in this novel technology are identifies the brain signal features best suited for communication, artifacts that can occur during the signal acquisition and translation algorithms. In this research different methods have been used for handle these components. Bestandsnummer des Verkäufers 9786202052627
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Taschenbuch. Zustand: Neu. Brain Computer Interface with ICA and Evolutionary Algorithms | Abdolreza Asadi Ghanbari (u. a.) | Taschenbuch | 60 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786202052627 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 112951712
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