Integrating Incremental and Continuous Learning into an Online Emotion Recognition Model

Key Points

• The aim is to explore how integrating incremental and continuous learning can enhance emotion recognition models.
• Development of an online emotion recognition model.
• Incorporation of both incremental and continuous learning techniques.
• Evaluation of the model's performance over time with diverse data inputs.
• Enhanced accuracy of emotion detection compared to traditional methods.
• Ability to learn from new data continuously without retraining the entire model.

Abstract