LabGym

LabGym quantifies animal behavior by representing motion as pattern images and animation and analyzing them with customizable deep neural networks to identify behaviors and compute quantitative measurements.

Key Features:

• Pattern Image and Animation Representation: Represents animal motion using pattern images to capture motion patterns and animation to preserve spatiotemporal details.
• Customizable Deep Neural Networks: Applies customizable deep neural networks that jointly assess pattern images and animation for behavior identification.
• Quantitative Measurements: Calculates quantitative measurements for each identified behavior.
• Multi-Animal Experiment Applicability: Processes experiments involving multiple animals simultaneously.
• Visualization Capabilities: Produces visualizations of behavioral datasets.

Scientific Applications:

• Behavioral Research: Captures subtle changes in behavior across diverse animal species for detailed analysis.
• Holistic Assessment: Integrates pattern images and animation to enable comprehensive behavioral assessment beyond pose-based methods.

Methodology:

Represents animal motion as pattern images and animation and analyzes these representations with customizable deep neural networks to identify behaviors and compute quantitative measurements.