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Systematic Review of Emotion Detection with Computer Vision and Deep Learning
Rafael Pereira1, Carla Mendes1, José Ribeiro1
1Computer Science and Communications Research Centre, School of Technology and Management, Polytechnic of Leiria, 2411-901 Leiria, Portugal.
Sensors (Basel, Switzerland)
|June 19, 2024
Summary
This systematic review analyzes 77 papers on deep learning and computer vision for emotion recognition. It highlights trends in facial and pose-based emotion detection methods and datasets, crucial for human-computer interaction applications.
Area of Science:
- Computer Vision
- Deep Learning
- Human-Computer Interaction
Background:
- Emotion recognition is vital for human-computer interaction (HCI) in psychology, healthcare, and entertainment.
- Deep Learning (DL) and computer vision are key technologies driving advancements in this field.
Conclusions:
- The review offers a comprehensive understanding of current trends and fundamental components in emotion recognition research.
- It serves as a guide for researchers to navigate the landscape of computer vision algorithms and datasets for emotion detection.
- Emphasizes the growing importance and applicability of DL in recognizing emotions from facial expressions and body poses.
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