Comprehensive survey on multimodal emotion detection with advances, challenges, and future directions in pairwise conversations

Key Points

• Emotion detection systems utilize various data sources to analyze sentiments, enhancing communication understanding.
• Key advancements include improved algorithms that analyze voice, facial expression, and text simultaneously.
• Survey findings outline ongoing challenges in accuracy and real-time processing for effective application in technology.
• Future directions suggest a need for integrated systems that can seamlessly combine different modalities for better results.