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Cognitive Sensor Networks

A Domain Theoretic Cognitive Architecture

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Distributed Video Sensor Networks

Abstract

Our overall goal is to develop a cognitive architecture which will allow autonomous and robust operation of sensor–actuator networks. To achieve this, the perception, concept formation, action cycle will be informed by domain theories of signal analysis, physical phenomena, and behavior. Example scenarios include cognitive vehicles and buildings in which the system understands itself and the activities in and around it by means of distributed video and other sensors. This includes discovery of the cognitive system’s own sensing and actuation capabilities.

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Authors and Affiliations

    Authors
    1. Thomas C. Henderson
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    Correspondence to Thomas C. Henderson .

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    Editors and Affiliations

    1. Center for Research, Intelligent Systems, University of California, Riverside, Riverside, 92521, California, USA

      Bir Bhanu

    2. Dept. Computer Science & Engineering, University of California, Riverside, Riverside, 92521, California, USA

      Chinya V. Ravishankar

    3. Dept. Electrical Engineering, University of California, Riverside, Riverside, 92521, California, USA

      Amit K. Roy-Chowdhury

    4. Dept. Electrical Engineering, Packard Bldg., Stanford University, Serra Mall 350, Stanford, 94305-9505, California, USA

      Hamid Aghajan

    5. Dept. Computer Science, University of California, Los Angeles, Boelter Hall 4731, Los Angeles, 90095-1596, California, USA

      Demetri Terzopoulos

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    © 2011 Springer-Verlag London Limited

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    Henderson, T.C. (2011). Cognitive Sensor Networks. In: Bhanu, B., Ravishankar, C., Roy-Chowdhury, A., Aghajan, H., Terzopoulos, D. (eds) Distributed Video Sensor Networks. Springer, London. https://doi.org/10.1007/978-0-85729-127-1_14

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    • DOI: https://doi.org/10.1007/978-0-85729-127-1_14

    • Publisher Name: Springer, London

    • Print ISBN: 978-0-85729-126-4

    • Online ISBN: 978-0-85729-127-1

    • eBook Packages: Computer ScienceComputer Science (R0)

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