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Human & Machine Perception: Communication, Interaction, and Integration Santa Caterina di Pittinuri Oristano, Italy September 6-9, 2004 by

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Published by World Scientific Publishing Company .
Written in English

Subjects:

  • Human-computer interaction,
  • General,
  • Computers,
  • Medical / Nursing,
  • Social Aspects - Human-Computer Interaction,
  • Computer Books: General,
  • Neuroscience,
  • Interactive & Multimedia

Book details:

Edition Notes

ContributionsSergio Vitulano (Editor), Vito Di Gesu (Editor), Virginio Cantoni (Editor), Roberto Marmo (Editor), Alessandra Setti (Editor)
The Physical Object
FormatHardcover
Number of Pages172
ID Numbers
Open LibraryOL9196420M
ISBN 109812384316
ISBN 109789812384317

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  Get this from a library! Human & machine perception: communication, interaction, and integration: Santa Caterina di Pittinuri, Oristano, Italy, September , [Sergio Vitulano;] -- The theme of this book on human and machine perception is communication, interaction, and integration. For each basic topic there are invited lectures, corresponding to approaches in nature . Buy (ebook) Human And Machine Perception: Communication, Interaction, And Integration by Setti Alessandra Setti, Marmo Roberto Marmo, Di Gesu Vito Di Gesu, Cantoni Virginio Cantoni, Vitulano Sergio Vitulano, eBook format, from the Dymocks online bookstore. The following are th€:" proceedings of the Second International Workshop on Human and Machine Perception held in Trabia, Italy, on July 21~25, , under the auspices of two Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the 'Centro Interdipartimentale di Tecnologie della Conoscenza' ofPalenno University. The theme of this book on human and machine perception is communication, interaction, and integration. For each basic topic there are invited lectures, corresponding to approaches in nature and.

Human–machine interaction (HMI) refers to the communication and interaction between a human and a machine via a user interface. Nowadays, natural user interfaces such as gestures have gained increasing attention as they allow humans to control machines through natural and intuitive behaviors. "Because human–computer interaction studies a human and a machine in communication, it draws from supporting knowledge on both the machine and the human side. On the machine side, techniques in computer graphics, operating systems, programming languages, and development environments are . Klaus Zuberbühler, in Reference Module in Life Sciences, Abstract. Human communication is strikingly different from any other known natural communication system. From an evolutionary perspective, this is particularly striking because, biologically, humans are primates whose communication system has evolved during a long and shared phylogenetic history. The theme of this book on human and machine perception is communication, interaction, and integration. For each basic topic there are invited lectures, corresponding to approaches in nature and machines, and a panel discussion. The lectures present the state of the art, outlining open questions and stressing synergies among the disciplines.

of sensor information, learning, machine understanding, dynamic composition of components and man-machine interaction. Our goal is make progress on the theoretical foundations for perception and cognition, as well as to develop new forms of man machine interaction, by using interactive environments as a source of example problems. Human-computer interaction (HCI) is a multidisciplinary field of study focusing on the design of computer technology and, in particular, the interaction between humans (the users) and computers. While initially concerned with computers, HCI has since expanded to cover almost all forms of information technology design. tion, including using perception alongside semantic parsing for action understanding and acquiring new actions from language descriptions in a perceivable environment. Understanding the mutual environment is essential for human-robot communication. Seman-tic parsing has been used as the understanding step in tasks like unconstrained natural. The second Grand Challenge is related more closely to machine perception and addresses the problem of detecting and recognising humans and their behaviour in videos. At first glance, this might seem rather a narrow scope, but it has become clear that robust performance will heavily rely on the integration of various complementary modalities.