Automated Pose Estimation in Primates

التفاصيل البيبلوغرافية
العنوان: Automated Pose Estimation in Primates
المؤلفون: Jan Zimmermann, Benjamin Y. Hayden, Hyun Soo Park
بيانات النشر: Center for Open Science, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Primates, Primatology, business.industry, Deep learning, Big data, Posture, Data science, Preference, Variable (computer science), Gestalt psychology, Animals, Animal Science and Zoology, Artificial intelligence, business, Pose, Ecology, Evolution, Behavior and Systematics, Biomedicine
الوصف: Understanding the behavior of primates is important for primatology, for psychology, and for biology more broadly. It is also important for biomedicine, where primates are an important model organism, and whose behavior is often an important variable of interest. Our ability to rigorously quantify behavior has, however, long been limited. On one hand, we can rigorously quantify low-information measures like preference, looking time, and reaction time; on the other, we can use more gestalt measures like behavioral categories tracked via ethogram, but at high cost and with high variability. Recent technological advances have led to a major revolution in behavioral measurement that offers affordable and scalable rigor. Specifically, digital video cameras and automated pose tracking software can provide measures of full body position (i.e., pose) of primates over time (i.e., behavior) with high spatial and temporal resolution. Pose-tracking technology in turn can be used to infer behavioral states, such as eating, sleeping, and mating. We call this technological approach behavioral imaging. In this review, we situate the behavioral imaging revolution in the history of the study of behavior, argue for investment in and development of analytical and research techniques that can profit from the advent of the era of big behavior, and propose that primate centers and zoos will take on a more central role in relevant fields of research than they have in the past.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::354d2972c65e1ed45f948d102e74a10dTest
https://doi.org/10.31234/osf.io/36e7hTest
حقوق: CLOSED
رقم الانضمام: edsair.doi.dedup.....354d2972c65e1ed45f948d102e74a10d
قاعدة البيانات: OpenAIRE