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Instant Learning Sound Sensor: Flexible Real-World Event Recognition System for Ubiquitous Computing

  • Yuya Negishi
  • Nobuo Kawaguchi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4836)

Abstract

We propose a smart sound sensor for building context-aware systems that instantly learn and detect events from various kinds of everyday sounds and environmental noise by using small and low-cost device. The proposed system automatically analyzes and selects an appropriate sound recognition process, using sample sounds and a parameter templates database in the event learning phase. A user is only required to input target event sounds from a microphone or sound files. Using the proposed sensor, the developer of ubiquitous service can easily utilize real world sounds as event triggers to control appliances or human’s activity monitors for presence services without a signal processing programming.

Keywords

Recognition Rate Target Event Event Sound Feature Quantity Piezoelectric Device 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Yuya Negishi
    • 1
  • Nobuo Kawaguchi
    • 1
  1. 1.Graduate School of Engineering, Nagoya University, 1, Furo-Cho, Chikusa-ku, Nagoya, 464-8601Japan

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