Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

One-Degree-of-Freedom System01:24

One-Degree-of-Freedom System

In mechanical engineering, one-degree-of-freedom systems form the basis of a wide range of electrical and mechanical components. Using these models, engineers can predict the behavior of various parts in a larger system, which gives them insight into how different forces interact with each other.
A one-degree-of-freedom system is defined by an independent variable that determines its state and behavior. One example of a one-degree-of-freedom system is a simple harmonic oscillator, such as a...
Muscle Coordination and Action01:24

Muscle Coordination and Action

Muscle coordination is a complex and finely tuned process essential for smooth and purposeful movements like flexion, extension, adduction, abduction, and rotation. The human body orchestrates the actions of various muscles working in concert, each with a specific role. Four functional types describe how muscles work together: agonist, antagonist, synergist, and fixator.
Agonists
Agonist muscles, often called prime movers, are the primary muscles responsible for producing a specific movement.
Absolute Motion Analysis- General Plane Motion01:24

Absolute Motion Analysis- General Plane Motion

Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the drone...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

External Globus Pallidus Arkypallidal Circuit Dynamics Gate Risk-Taking Behavior.

bioRxiv : the preprint server for biology·2026
Same author

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment.

bioRxiv : the preprint server for biology·2026
Same author

Peripheral alcohol metabolism dictates ethanol consumption and drinking microstructure in mice.

Alcohol, clinical & experimental research·2025
Same author

A statistical framework for analysis of trial-level temporal dynamics in fiber photometry experiments.

eLife·2025
Same author

Sex-dependent, lateralized engagement of anterior insular cortex inputs to the dorsolateral striatum in binge alcohol drinking.

eLife·2024
Same author

Converging Effects of Chronic Pain and Binge Alcohol Consumption on Anterior Insular Cortex Neurons Projecting to the Dorsolateral Striatum in Male Mice.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2024

Related Experiment Videos

SqueakPose Studio, an end-to-end platform for pose estimation and real-time edge-AI deployment.

David L Haggerty1,2, Caleb Browning Darden1, David Lovinger1

  • 1Laboratory for Integrative Neuroscience, Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, United States.

Elife
|July 6, 2026
PubMed
Summary

We developed an integrated system for pose estimation, enabling real-time behavior analysis on edge devices. This platform streamlines workflows from data collection to deployment, enhancing quantitative behavioral research.

Keywords:
computational biologyhumanmouseneuroscienceratsystems biology

Related Experiment Videos

Area of Science:

  • Computational Neuroscience
  • Behavioral Neuroscience
  • Machine Learning in Biology

Background:

  • Accurate pose estimation is crucial for quantitative behavioral analysis.
  • Current deep learning tools often require complex, offline pipelines and high-performance hardware for real-time deployment.
  • Existing systems lack integration across dataset creation, training, and real-time application on edge devices.

Purpose of the Study:

  • To present an integrated software-hardware ecosystem for pose estimation.
  • To enable efficient real-time pose estimation and behavior analysis on embedded edge-computing devices.
  • To bridge the gap between offline analysis and real-time experimental needs without specialized hardware.

Main Methods:

  • Developed SqueakPose Studio: a software suite for dataset creation, labeling, training, and offline inference using object-detection architectures.
  • Integrated SqueakView for real-time model deployment, video capture, and sensor logging on edge hardware.
  • Introduced MouseHouse: a modular enclosure for home cage experiments with embedded compute and synchronized data acquisition.

Main Results:

  • The system supports efficient end-to-end training and inference on various hardware (CPUs, GPUs, Apple Silicon).
  • Achieved seamless real-time deployment on embedded edge devices.
  • Ensured consistency between offline analysis and real-time deployment via a shared data format and deterministic timing.

Conclusions:

  • The SqueakPose ecosystem provides a unified platform for both conventional offline analysis and embedded, real-time pose estimation.
  • Eliminates the need for workstation-grade hardware or external middleware for real-time behavioral tracking.
  • Facilitates accessible, quantitative behavior analysis in diverse experimental settings, including home cage environments.