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YORU: Detección de comportamiento animal con enfoque basado en objetos para retroalimentación de circuito cerrado en

Hayato M Yamanouchi1, Ryosuke F Takeuchi2, Naoya Chiba3

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Desarrollamos YORU, una herramienta de aprendizaje profundo para analizar los comportamientos sociales de los animales. Este método de detección de objetos identifica comportamientos por la forma animal, lo que permite el análisis en tiempo real y la retroalimentación para la investigación de la neuroetología.

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Área de la Ciencia:

  • Neuroetología La neuroetología.
  • Análisis del Comportamiento Animal Análisis del Comportamiento Animal
  • Aprendizaje profundo Aprendizaje profundo.

Sus antecedentes:

  • El análisis de comportamientos sociales complejos en animales es un desafío.
  • Los métodos convencionales luchan con las interacciones dinámicas y multi-individuales.
  • El aprendizaje profundo ofrece potencial para el análisis avanzado del comportamiento.

Objetivo del estudio:

  • Introduzca YORU (su utilidad de reconocimiento óptimo), un nuevo enfoque de aprendizaje profundo para la detección del comportamiento animal.
  • Permitir una clasificación robusta y precisa de los comportamientos sociales en diversas especies.
  • Facilitar el análisis del comportamiento en tiempo real y los sistemas de retroalimentación de circuito cerrado.

Principales métodos:

  • Utilizó un algoritmo de aprendizaje profundo de detección de objetos.
  • Desarrolló YORU para identificar comportamientos como "objetos de comportamiento" basados en la forma animal.
  • Aplicó el método para clasificar los comportamientos sociales en vertebrados e insectos.

Principales resultados:

  • YORU clasificó con éxito varios comportamientos sociales entre especies.
  • Logró análisis de comportamiento en tiempo real y capacidades de retroalimentación de circuito cerrado.
  • Demostró la entrega de retroalimentación de la fotoestimulación en tiempo real durante las interacciones sociales de proximidad cercana.

Conclusiones:

  • YORU proporciona una alternativa robusta a los métodos convencionales de estimación de la postura.
  • El sistema supera los desafíos en el análisis de comportamientos sociales de animales multi-individuales.
  • YORU avanza en la neuroetología al permitir un análisis e intervención de comportamiento preciso y en tiempo real.