BC5 Sensor Systems and Cognitronics

Description

1. Session: Sensor Technology
Survey of the state of the art and future developments of basic sensor technologies. Introduction to a standard sensor processing flow.
Comparison with biological senses.


2. Session: Signal Processing and Sensor Fusion
Review of the most important standard signal processing algorithms.
Introduction to sensor fusion methods.
Comparison with neural sensor information processing.


3. Session: Cognitronics
Overview of bio-inspired computing architectures.
Examples of embedded neuromorphic systems.
Discussion of the resource-efficiency of biological and technical sensor systems.


4. Session: Sensor Nets and Applications
Outline of sensor net basics.
Embedded sensor nets for cognitive robotics.
Examples of sensor net applications.

Objectives

The course is intended to give non-experts an introduction to the main developments and challenges of embedded sensor systems. Technological as well as algorithmic aspects will be discussed and compared with biological counterparts, so that the attendees get an assessment of the capabilities of technical as well as biological sensor systems.

Literature

Handbook of Modern Sensors
Jacob Fraden
Springer 2016 (5th Edition)
DOI 10.1007/978-3-319-19303-8

Introduction to Biosensors
From Electric Circuits to Immunosensors
Jeong-Yeol Yoon
Springer 2016 (2nd Edition)
DOI 10.1007/978-3-319-27413-3

Course location

Guenne

Course requirements

None

Instructor information.

Instructor
Ulrich Rückert

Affiliation

Bielefeld University

Vita

Ulrich Rückert received the diploma degree in computer science, and a Dr.-Ing. degree in electrical engineering, both from the University of Dortmund, Germany. As Senior Researcher at the Department of Electronic Components, University of Dortmund, he developed the first VLSI implementations of artificial neural networks in Europe. From 1993 to 1995, he was Associate Professor of microelectronics and Computer Aided Design at the Research Centre for Information and Communication Technology at the Technical University of Hamburg-Harburg. From 1995 to 2009 he was Full Professor of Electrical Engineering at the University of Paderborn. As a member of the Heinz Nixdorf Institute, he held the chair in “System and Circuit Technology”. Since 2009, he is Full Professor at the Cognitive Interaction Technology Centre of Excellence at Bielefeld University heading the research group Cognitronics and Sensor Systems. From 2001 to 2013 he was Adjunct Professor at the Faculty of Information Technology, Queensland University of Technology (Brisbane, Australia). His main research interests are bio-inspired architectures for nanotechnologies, neural information processing, and cognitive robotics.

Website

cit-ec.de/en/ks