NTU RGB+D Action Recognition Dataset
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NTU RGB+D is a large-scale dataset for RGB-D action recognition, which is used for human activity analysis based on deep methods and RGB+D.
The content of this dataset can be divided into three categories:
- Forty daily actions (e.g. eating, reading, etc.)
- Nine health-related movements (such as sneezing, stumbling, etc.)
- Eleven interactive actions (such as hugging, boxing, etc.)
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