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Interaction with In-Vehicle Electronic Systems: A Complete Description of a Neural Network Approach

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Abstract

Interaction with in-vehicle systems (car phones, traffic information, route guidance, etc) becomes a very difficult task since the control devices are often reduced to small switches and push-buttons. To solve the problem, a new input interface is proposed, based on character recognition. The paper describes in detail how a simple neural network can be applied down to the level of an industrial realization to provide a reliable user-machine interface. The industrial application is that of character recognition where characters are drawn with the finger on a small touchpad. Compared with the nearest neighbour method, the neural network solution has slightly better recognition rate, is faster and requires less memory space. The design of the recognition system is given and results of an experiment made on a driving simulator are presented.

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Authors and Affiliations

  1. Laboratoire VALORIA, Centre de Recherche Y. Coppens, Université de Bretagne-Sud, Campus Tohannic, 56000, Vannes, France

    Jean-François Kamp & Franck Poirier

  2. Renault, Technocentre, 1, avenue du Golf, 78288, Guyancourt Cedex, France

    Philippe Doignon

Authors
  1. Jean-François Kamp
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  2. Franck Poirier
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  3. Philippe Doignon
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Correspondence to Jean-François Kamp.

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Kamp, JF., Poirier, F. & Doignon, P. Interaction with In-Vehicle Electronic Systems: A Complete Description of a Neural Network Approach. Neural Processing Letters 19, 109–129 (2004). https://doi.org/10.1023/B:NEPL.0000023422.16224.cf

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  • DOI: https://doi.org/10.1023/B:NEPL.0000023422.16224.cf

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