Real Time Emotion Analysis Using Deep Learning for Education, Entertainment, and Beyond
원문 초록
The significance of emotion detection is increasing in education, entertainment, and various other domains. We are developing a system that can identify and transform facial expressions into emojis to provide immediate feedback.The project consists of two components. Initially, we will employ sophisticated image processing techniques and neural networks to construct a deep learning model capable of precisely categorising facial expressions. Next, we will develop a basic application that records live video using the camera on your device. The app will utilise a sophisticated model to promptly analyse facial expressions and promptly exhibit corresponding emojis.Our objective is to develop a dynamic tool that integrates deep learning and real-time video processing for the purposes of online education, virtual events, gaming, and enhancing user experience. This tool enhances interactions and introduces novel emotional intelligence technologies.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition
Modelling Emotions in Face-to-Face Setting: The Interplay of Eye-Tracking, Personality, and Temporal Dynamics
EmoBench-M: Benchmarking Emotional Intelligence for Multimodal Large Language Models
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design
Emotion-Aware Interaction Design in Intelligent User Interface Using Multi-Modal Deep Learning
Smile upon the Face but Sadness in the Eyes: Emotion Recognition based on Facial Expressions and Eye Behaviors
토론
이 논문과 연결된 포럼 글이 아직 없습니다.