Bridging the gap between AI and human emotion: a multimodal recognition system
Year: 2024
Type: article
Abstract: This study introduces a novel system that integrates voice and facial recognition technologies to enhance human-computer interaction by accurately interpreting and responding to user emotions. Unlike conventional approaches that analyze either voice or facial expressions in isolation, this system combines both modalities, o ering a more comprehensive understanding of emotional states. By evaluating facial expressions, vocal tones, and contextual conversation history, the system generates personalized, context-aware responses, fostering more natural and empathetic AI interactions. This advancement significantly improves user engagement and satisfaction, paving the way for emotionally intelligent AI applications across diverse fields.
Source: Control and Cybernetics
Institution: Koneru Lakshmaiah Education Foundation
Language: English
Topic: Emotion and Mood Recognition
Subfield: Experimental and Cognitive Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4413637632