A review of current capabilities and future directions in machine-based emotion recognition

Key Points

• Emotion recognition technologies use machine learning algorithms to interpret human feelings from diverse inputs.
• Key advancements in facial expressions and sentiment analysis have enhanced the accuracy of these systems.
• Assessment of current capabilities indicates the reliance on neural networks and deep learning techniques for better performance.
• Future directions emphasize integrating physiological biomarkers to improve emotion detection in varied contexts.