𝔖 Scriptorium
✦   LIBER   ✦

📁

Human and Machine Perception: Information Fusion

✍ Scribed by Brian C. J. Moore (auth.), Virginio Cantoni, Vito Di Gesù, Alessandra Setti, Domenico Tegolo (eds.)


Publisher
Springer US
Year
1997
Tongue
English
Leaves
328
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


The following are th€:" proceedings of the Second International Workshop on Human and Machine Perception held in Trabia, Italy, on July 21~25, 1996, 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. A broad spectrum of topics are covered in this series, ranging from computer perception to psychology and physiology of perception (visual, auditory, tactile, etc.). The theme of this workshop was: "Human and Machine Perception: Information Fusion". The goal of information and sensory data fusion is to integrate internal knowledge with complementary and/or redundant information from many sensors to achieve (and maintain) a better knowledge of the environment. The mechanism behind the integration of information is one of the most difficult challenges in understanding human and robot perception. The workshop consisted of a pilot phase of eight leCtures introducing perception sensorialities in nature and artificial systems, and of five subsequent modules each consisting of two lectures (dealing with solutions in nature and machines respectively) and a panel discussion.

✦ Table of Contents


Front Matter....Pages i-xviii
Information Extraction and Perceptual Grouping in the Auditory System....Pages 1-12
Ultrasonic Techniques for Environment Perception....Pages 13-25
The Vestibular System....Pages 27-41
Anatomical and Mathematical Tools in the Visual Pathways Studies: An Historical Overview....Pages 43-54
Visual Sensors with Embedded Processing Abilities....Pages 55-74
Anatomy and Physiology of Somatosensory Processing....Pages 75-86
Tactile Sensors and Systems....Pages 87-107
Integration and Storage of Sensory Motor Information: Computation in the Cerebellum....Pages 109-121
Field Computation and Sensory Fusion....Pages 123-137
Panel Summary: Plasticity and Reconfigurability in Sensory Systems....Pages 139-145
Solving by Redundancy and Misunderstanding by Simplification....Pages 147-154
Perception for Decision or Decision for Perception?....Pages 155-177
Panel Summary: Pragmatic Observation and Evaluation....Pages 179-188
Integrating Reflexes and Voluntary Behaviours: Coordination and Adaptation Controls in Man....Pages 189-205
Motion Perception as an Area Process....Pages 207-218
Panel Summary: Behavioural Models....Pages 219-234
Representation and Integration of Multiple Knowledge Sources: Issues and Questions....Pages 235-254
Symbolic, Conceptual and Subconceptual Representations....Pages 255-270
Panel Summary: Knowledge Model Representations....Pages 271-288
Picture Icon and Word Icon....Pages 289-300
Panel Summary: Characters, Pixels and Phonemes....Pages 301-318
Back Matter....Pages 319-321

✦ Subjects


Computer Science, general; Cognitive Psychology


📜 SIMILAR VOLUMES


Cybernics: Fusion of human, machine and
✍ Yoshiyuki Sankai, Kenji Suzuki, Yasuhisa Hasegawa (eds.) 📂 Library 📅 2014 🏛 Springer Japan 🌐 English

Эта свежая книга рассказывает о технологиях интеграции организма человека с цифровыми устройствами.<br>Cybernics is a new domain of science that centers on cybernetics, mechatronics, and informatics it integrates humans and robots functionally, organically, and socially with information technology.

Neural Networks for Perception. Human an
✍ Harry Wechsler 📂 Library 📅 1992 🏛 Elsevier Inc, Academic Press 🌐 English

These volumes explore recent research in neural networks that has advanced our understanding of human and machine perception. Contributions from international researchers address both theoretical and practical issues related to the feasibility of neural network models to explain human perception and

Information Fusion: Machine Learning Met
✍ Jinxing Li, Bob Zhang, David Zhang 📂 Library 📅 2022 🏛 Springer 🌐 English

<p><span>In the big data era, increasing information can be extracted from the same source object or scene. For instance, a person can be verified based on their fingerprint, palm print, or iris information, and a given image can be represented by various types of features, including its texture, co

Human-Centered Information Fusion
✍ David L. Hall, John M. Jordan 📂 Library 📅 2010 🏛 Artech House 🌐 English

Information fusion refers to the merging of information from disparate sources with differing conceptual, contextual and typographical representations. Rather than focusing on traditional data fusion applications which have been mainly concerned with physical military targets, this unique resource e

Human And Machine Perception: Communicat
✍ Sergio Vitulano; Virginio Cantoni; Vito Di Gesu; Alessandra Setti; Roberto Marmo 📂 Library 📅 2005 🏛 World Scientific Publishing Company 🌐 English

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