Evidence map›Paper›PMID 34855257›Full record

ReviewAmerican journal of primatology2022

Automated pose estimation in primates.

Benjamin Y Hayden, Hyun Soo Park, Jan Zimmermann

Open access · greenAbstract readReview
In one paragraph

Review in American journal of primatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. A framework for quantifying the mechanics of dexterous grasp.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. DIPLOMAT: multi-animal tracking with efficient manual editing.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Nonlinear manifolds underlie neural population activity during behaviour.bioRxiv : the preprint server for biology · 2024
    Article
  7. Learning of object-in-context sequences in freely-moving macaques.bioRxiv : the preprint server for biology · 2023
    Article
  8. Article
  9. Article
  10. Promoting Good Nonhuman Primate Welfare outside Regular Working Hours.Animals : an open access journal from MDPI · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Benjamin Y HaydenDepartment of Neuroscience, Department of Biomedical Engineering, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-7678-4281
Hyun Soo ParkDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, USA.
Jan ZimmermannDepartment of Neuroscience, Department of Biomedical Engineering, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0002-7678-4281
University of Minnesota · US

Funding

Viral Innovation CoreP30DA048742 · NIDA · UNIVERSITY OF MINNESOTA · PI Mark John Thomas · 2020 to 2026
$19.0M
Neural basis of behavior in freely moving macaquesR01MH125377 · NIMH · UNIVERSITY OF MINNESOTA · PI HAYDEN, BENJAMIN Y · 2021 to 2025
$3.5M
Neural basis of behavioral timescale coordinationR01MH128177 · NIMH · UNIVERSITY OF MINNESOTA · PI Jan Zimmermann · 2022 to 2026
$2.9M
NIDA NIH HHS P30 DA048742NIMH NIH HHS R01 MH125377NIMH NIH HHS R01 MH128177
6 · The paper itself

Abstract

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.

Indexed as

PosturePrimatesAnimalsbehavioral trackingbig datadeep learningprimatesrhesus macaque

Identifiers

PMID34855257
PMCPMC9160209
OpenAlexW3215718221

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.