Ibero-American Conference on Artificial Intelligence

IBERAMIA 2002: Advances in Artificial Intelligence — IBERAMIA 2002 pp 893-902

Habituation Based on Spectrogram Analysis

  • Javier Lorenzo
  • Mario Hernández
Conference paper

DOI: 10.1007/3-540-36131-6_91

Volume 2527 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Lorenzo J., Hernández M. (2002) Habituation Based on Spectrogram Analysis. In: Garijo F.J., Riquelme J.C., Toro M. (eds) Advances in Artificial Intelligence — IBERAMIA 2002. IBERAMIA 2002. Lecture Notes in Computer Science, vol 2527. Springer, Berlin, Heidelberg

Abstract

In this paper we present a habituation mechanism which includes a modification of the Stanley’s habituation model with the addition of a stage based on spectrogram to detect temporal patterns in a signal and to obtain a measure of habituation to these patterns. This means that this measure shows a saturation process as the pattern is perceived by the system and when it disappears the measure drops. The use of the spectrogram simplifies the detection of the temporal patterns which can be detected with naive techniques. We have carried on some experiments both a synthetic signal and real signals like readings of a sonar in a mobile robot.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Javier Lorenzo
    • 1
  • Mario Hernández
    • 1
  1. 1.IUSIANI Edificio del Parque TecnológicoUniv. of Las Palmas de G.C.Spain