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Data-Driven Analysis of Animal Behavioral Patterns

Published: 24 March 2021 Publication History

Abstract

Measurement of behavior is a major challenge in many animal-related disciplines, including ACI. This usually requires choosing specific parameters for measuring, related to the investigated hypothesis. Therefore, a key challenge is determining what a priori parameters are informational for a given experiment. The scope of this challenge is raised even further by the emerging computational approaches for animal detection and tracking, as the automation of behavioral measurement makes the possibilities for measuring behavioral parameters practically endless.
This research approaches these challenges by proposing a framework for guiding the researchers decision making in their future data analysis. The envisioned framework is data-driven in the sense that it applies data mining techniques for obtaining insights from experimental data for guiding the choice of certain behavioral parameters. Here, we present the envisioned Data-Driven Framework for Behavioral Pattern Analysis framework and its components and discuss it's current topics and challenges.

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Cited By

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  • (2023)Digitally-enhanced dog behavioral testingScientific Reports10.1038/s41598-023-48423-813:1Online publication date: 1-Dec-2023
  • (2023) The ethics of sustainable AI : Why animals (should) matter for a sustainable use of AI Sustainable Development10.1002/sd.259631:5(3459-3467)Online publication date: 24-May-2023

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cover image ACM Other conferences
ACI '20: Proceedings of the Seventh International Conference on Animal-Computer Interaction
November 2020
163 pages
ISBN:9781450375740
DOI:10.1145/3446002
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • OU: The Open University

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Association for Computing Machinery

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Publication History

Published: 24 March 2021

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Author Tags

  1. animal data mining
  2. computational ethology

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ACI'2020
ACI'2020: Seventh International Conference on Animal-Computer Interaction
November 10 - 12, 2020
Milton Keynes, United Kingdom

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Cited By

View all
  • (2023)Digitally-enhanced dog behavioral testingScientific Reports10.1038/s41598-023-48423-813:1Online publication date: 1-Dec-2023
  • (2023) The ethics of sustainable AI : Why animals (should) matter for a sustainable use of AI Sustainable Development10.1002/sd.259631:5(3459-3467)Online publication date: 24-May-2023

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