MA-52 (Micro-Action 52 dataset)
Introduced by Guo et al. in Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
The MA-52 dataset provides the whole-body perspective including gestures, upper- and lower-limb movements, attempting to reveal comprehensive micro-action cues. In detail, MA-52 contains 52 micro-action categories along with seven body part labels, and encompasses a full array of realistic and natural micro-actions, accounting for 205 participants and 22,422 video instances collated from the psychological interviews
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