In Robocup Middle-Size League (MSL) the challenge to recognize signals given by the referee by whistling has been introduced from this year as a way to reduce the interaction via radio-link. We present Whistle Recognizer (WR), a system able to recognize different whistling patterns, after a relatively short training done in advance. This composite system encompasses neural networks and more traditional information processing techniques. It demonstrated to be quite effective and can be easily integrated in a multi-thread control architecture, as the vast majority of those used in the league; thus, it candidates itself as a potential off-the-shelf module to be used by MSL teams not interested in research about signal processing and analysis. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Bonarini, A., Lavatelli, D., & Matteucci, M. (2006). A composite system for real-time robust whistle recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4020 LNAI, pp. 130–141). Springer Verlag. https://doi.org/10.1007/11780519_12
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