Advancing cat facial emotion interpretation: evaluating supervised and semi-supervised models using facial landmark and image data

Key Points

• Improved emotion interpretation accuracy enhances understanding of feline behavior and communication, aiding in better pet care.
• Evaluation included various supervised and semi-supervised models over extensive image datasets for rigorous performance comparison.
• Facial landmarks were utilized to analyze nuances in cat expressions, leading to more effective emotion detection.
• Findings suggest potential for implementing these models in real-world cat care applications, emphasizing practical benefits.