2023
DOI: 10.1016/j.applanim.2023.106000
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The quest to develop automated systems for monitoring animal behavior

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Cited by 19 publications
(7 citation statements)
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“…When integrating our system with AI a word of caution is in order. Siegford et al (2023) notes that there is still much work to do before AI is fully integrated into behavioral observation systems. For example, the effectiveness of AI in identifying the behavior of interest is only as reliable as the information programmed into it.…”
Section: Discussionmentioning
confidence: 99%
“…When integrating our system with AI a word of caution is in order. Siegford et al (2023) notes that there is still much work to do before AI is fully integrated into behavioral observation systems. For example, the effectiveness of AI in identifying the behavior of interest is only as reliable as the information programmed into it.…”
Section: Discussionmentioning
confidence: 99%
“…With advancements in technology, phenotypes can be collected with higher accuracy, in greater quantities, and new traits that are difficult or impossible to measure directly can be captured [ 1 ]. Applications include sensors, wearable technology, imaging, video, and audio recording to assess body temperature [ 2 ], stress [ 3 ], disease [ 4 , 5 ], behavior [ 6 ], or overall health [ 7 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…The diversity in animal behavior, influenced by factors such as species, breeds, and sizes, presents a challenge in developing global models that can effectively generalize across different individuals or species [18][19][20][21][22]. A study by Ferdinandy et al (2020) highlighted this challenge, reporting that cross-size validation, which categorizes dogs into small-sized (<10 kg), middle-sized (10-25 kg), and large-sized (>25 kg) groups, yielded a lower classification performance compared to the within-size validation settings [15].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the cross-species validation conducted by predicting wolves' activities using an AAR model developed with the dog activity data underscores the variations. These variations can arise due to behavioral differences between breeds and species, as well as distinct body structures [15,[18][19][20]22]. Despite the evident challenges, there remains a lack of studies addressing these issues in AAR.…”
Section: Introductionmentioning
confidence: 99%
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