ArticlePrimates; journal of primatology2024
Automatic identification of stone-handling behaviour in Japanese macaques using LabGym artificial intelligence.
Article in Primates; journal of primatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Automated Activity Tracking and Space Use Monitoring of Captive Jaguars with Machine Learning.Animals : an open access journal from MDPI · 2026Article
- The MacqD deep-learning-based model for automatic detection of socially housed laboratory macaques.Scientific reports · 2025Article
- The Warmth of Sarudango: Modelling the Huddling Behaviour of Japanese Macaques (Animals : an open access journal from MDPI · 2024Article
- Oppositions, joints, and targets: the attractors that are the glue of social interactions.Frontiers in behavioral neuroscience · 2024Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The latest advances in artificial intelligence technology have opened doors to the video analysis of complex behaviours. In light of this, ethologists are actively exploring the potential of these innovations to streamline the time-intensive behavioural analysis process using video data. Several tools have been developed for this purpose in primatology in the past decade. Nonetheless, each tool grapples with technical constraints. To address these limitations, we have established a comprehensive protocol designed to harness the capabilities of a cutting-edge artificial intelligence-assisted software, LabGym. The primary objective of this study was to evaluate the suitability of LabGym for the analysis of primate behaviour, focusing on Japanese macaques as our model subjects. First, we developed a model that accurately detects Japanese macaques, allowing us to analyse their actions using LabGym. Our behavioural analysis model succeeded in recognising stone-handling-like behaviours on video. However, the absence of quantitative data within the specified time frame limits the ability of our study to draw definitive conclusions regarding the quality of the behavioural analysis. Nevertheless, to the best of our knowledge, this study represents the first instance of applying the LabGym tool specifically for the analysis of primate behaviours, with our model focusing on the automated recognition and categorisation of specific behaviours in Japanese macaques. It lays the groundwork for future research in this promising field to complexify our model using the latest version of LabGym and associated tools, such as multi-class detection and interactive behaviour analysis.
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