A composite system for real-time robust whistle recognition

  • Authors:

  • Andrea Bonarini;Daniele Lavatelli;Matteo Matteucci

  • Affiliations:

  • Politecnico di Milano, Department of Electronics and Information, Artificial Intelligence and Robotics Lab;Politecnico di Milano, Department of Electronics and Information, Artificial Intelligence and Robotics Lab;Politecnico di Milano, Department of Electronics and Information, Artificial Intelligence and Robotics Lab

  • Venue:
  • RoboCup 2005
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.