MPOSE2021 (MPOSE2021 Dataset for Short-time Human Action Recognition)
Introduced by Mazzia et al. in Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition
MPOSE2021, a dataset for real-time short-time HAR, suitable for both pose-based and RGB-based methodologies. It includes 15,429 sequences from 100 actors and different scenarios, with limited frames per scene (between 20 and 30). In contrast to other publicly available datasets, the peculiarity of having a constrained number of time steps stimulates the development of real-time methodologies that perform HAR with low latency and high throughput.
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