Accuracy (Cross-Subject): 90.5Accuracy (Cross-View): 93.5
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Human Interaction Recognition
Human Interaction Recognition (HIR) is a field of study that involves the development of computer algorithms to detect and recognize human interactions in videos, images, or other multimedia content. The goal of HIR is to automatically identify and analyze the social interactions between people, their body language, and facial expressions.
논문
Accuracy (Cross-Subject): 93.6Accuracy (Cross-View): 96.5
Accuracy (Cross-Subject): 96.5Accuracy (Cross-View): 98.8
Accuracy: 92.88
Accuracy: 94.03
Accuracy: 98.51±1.47
Accuracy: 80.13
Accuracy (Cross-Subject): 97.1Accuracy (Cross-View): 99.3
Accuracy (Cross-Subject): 94.9Accuracy (Cross-View): 97.7
Accuracy: 67.4%
Accuracy: 45.3%
Accuracy: 46.5%
Accuracy: 93.30
Accuracy: 54.2%
Accuracy: 69.1%
Accuracy: 49.6%
Top-1 accuracy %: 55.11
Accuracy: 69.8%