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Beyond Cognitive Signals

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Abstract

Although audio-visual human systems have several well-known limitations, artificial sensors can measure information beyond our limits. What would happen if we were able to overcome our limitations? Would we be able to obtain a better knowledge of our environment? Or the information beyond our limits is redundant? In this paper, we compare infrared, thermal and visible images from an information theory point of view. We have acquired a small database and compared several measurements over these images. While infrasounds and ultrasounds are not directly applicable, for instance, to speaker recognition due to the impossibility of human beings generating sounds in these frequencies, this is not the case with image signals beyond the visible spectrum for face recognition. We have observed that visible, near-infrared and thermal images contain a small amount of redundancy (less than 1,55 bits).

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Acknowledgments

This work has been supported by FEDER and MEC, TEC2009-14123-C04-04. We also want to acknowledge the COST OC08057 project for providing Jiri’s support.

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Authors and Affiliations

  1. EUP Mataró, Avda. Puig i Cadafalch 101, 08303, Mataro, Barcelona, Spain

    Virginia Espinosa-Duró & Marcos Faundez-Zanuy

  2. Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic

    Jiří Mekyska

Authors
  1. Virginia Espinosa-Duró
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  2. Marcos Faundez-Zanuy
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  3. Jiří Mekyska
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Corresponding author

Correspondence to Marcos Faundez-Zanuy.

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Espinosa-Duró, V., Faundez-Zanuy, M. & Mekyska, J. Beyond Cognitive Signals. Cogn Comput 3, 374–381 (2011). https://doi.org/10.1007/s12559-010-9035-6

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