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

Content Provider	Springer Nature Link
Author	Kamp, Jean François Poirier, Franck Doign, Philippe
Copyright Year	2004
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.
Starting Page	109
Ending Page	129
Page Count	21
File Format	PDF
ISSN	13704621
Journal	Neural Processing Letters
Volume Number	19
Issue Number	2
e-ISSN	1573773X
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Boston
Access Restriction	Subscribed
Subject Keyword	Artificial Intelligence (incl. Robotics) Electronic and Computer Engineering Operations Research/Decision Theory Nonlinear Dynamics, Complex Systems, Chaos, Neural Networks
Content Type	Text
Resource Type	Article
Subject	Neuroscience Artificial Intelligence Computer Networks and Communications Software

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