2021
DOI: 10.3389/fnbeh.2020.581154
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MacaquePose: A Novel “In the Wild” Macaque Monkey Pose Dataset for Markerless Motion Capture

Abstract: Video-based markerless motion capture permits quantification of an animal's pose and motion, with a high spatiotemporal resolution in a naturalistic context, and is a powerful tool for analyzing the relationship between the animal's behaviors and its brain functions. Macaque monkeys are excellent non-human primate models, especially for studying neuroscience. Due to the lack of a dataset allowing training of a deep neural network for the macaque's markerless motion capture in the naturalistic context, it has b… Show more

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Cited by 69 publications
(40 citation statements)
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“…A model that uses spatial information of other keypoints within a frame could notice that these predicted keypoints are too far off and search for the second-best location closer to the other keypoints. This suggests that single animal DeepLabCut could benefit from the use of spatial information of other keypoints within a frame, as was also noted by Labuguen et al (2021).…”
Section: Data Availability and Model Performancementioning
confidence: 54%
“…A model that uses spatial information of other keypoints within a frame could notice that these predicted keypoints are too far off and search for the second-best location closer to the other keypoints. This suggests that single animal DeepLabCut could benefit from the use of spatial information of other keypoints within a frame, as was also noted by Labuguen et al (2021).…”
Section: Data Availability and Model Performancementioning
confidence: 54%
“…The chemogenetic approach using DCZ as an actuator introduced in the present study will expand the opportunity of acute and chronic manipulations of specific circuits in the primate PFC, thereby leading to a better understanding of higher brain functions (e.g., working memory, decision-making, and action-planning, in health and disease conditions). This can be done without causing pain/stress to monkeys, and thus is also suitable for quantifying the effects on unrestrained naturalistic, social behavior (e.g., using a markerless motion tracking system) ( Bala et al, 2020 ; Labuguen et al, 2021 ). In addition, it has the potential to be used in therapeutic applications for symptoms caused by abnormal neuronal activity in a specific brain region, such as seizures in epilepsy.…”
Section: Discussionmentioning
confidence: 99%
“…Historically, we were only able to quantify and statistically compare characteristics of vocalisations with the advent of programmes that allowed us to measure pitch and frequency (e.g., Crockford et al 2004 ). Now, researchers are able to use deep machine learning to recognise primate faces and identify individuals (Witham 2018 ; Schofield et al 2019 ), and use markerless motion tracking software to identify poses, movement, and even certain behaviour (Labuguen et al 2019 , 2020 ; Bala et al 2020 ). These recent advances mean that we can start to do the same with gestures.…”
Section: Discussionmentioning
confidence: 99%