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Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods

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Engineering Applications of Neural Networks (EANN 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1826))

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Abstract

Computational Ethology provides automated and precise measurement of animal behavior. Artificial Intelligence (AI) techniques have also introduced the enhanced capabilities to interpret experimental data in order to extract accurate ethograms allowing the comparison of animal models with high discriminative power. In this short review we introduce the most recent software tools that employ AI tools for this endeavor, including the popular deep learning approaches.

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Acknowledgments

This work has been partially supported by FEDER funds through MINECO project TIN2017-85827-P, and grant IT1284-19 as university research group of excellence from the Basque Government.

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Authors and Affiliations

  1. Computational Intelligence Group, University of the Basque Country (UPV/EHU), San Sebastian, Spain

    Marina Aguilar-Moreno & Manuel Graña

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  1. Marina Aguilar-Moreno
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  2. Manuel Graña
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Correspondence to Marina Aguilar-Moreno .

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Editors and Affiliations

  1. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  2. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  3. University of Leon, León, Spain

    Serafin Alonso

  4. Teesside University, Middlesbrough, UK

    Chrisina Jayne

  5. University of the West of England, Bristol, UK

    Elias Pimenidis

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Aguilar-Moreno, M., Graña, M. (2023). Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods. In: Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C., Pimenidis, E. (eds) Engineering Applications of Neural Networks. EANN 2023. Communications in Computer and Information Science, vol 1826. Springer, Cham. https://doi.org/10.1007/978-3-031-34204-2_2

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