Vorhersage von Tieremotionen unter Verwendung eines Tieremotionswissensgraphen und eines Neuronalen Graphnetzwerks

Details

Veröffentlichungs-Nr.

EP4797154

Anmeldetag

19. Dezember 2025

Veröffentlichung

26. August 2026

Rechtsraum

EP

Abstract

This disclosure relates generally to a method and system for predicting animal emotions using animal emotion knowledge graph and graph neural network. Current available methods focus only on visual and language data captured from animals and lacks real time adaptability. The method disclosed generates an animal emotion knowledge graph (AEKG) that combines human and animal neurobiological data, behavioral studies, and the human wheel of emotions. Further real time graphs are generated from multimodal input data captured from the animal. These real time graphs are used for predicting primary, secondary, and tertiary emotions of the animals using a trained graph neural network-Transformer model. This model is trained using the AEKG. Using temporal graph analysis, the method predicts future emotions and generates real-time recommendations based on generative artificial intelligence techniques. Predicting the emotions of animals in real time helps to grasp their emotional well-being to improve their care and management effectively.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien