MMHAR-28: Human Action Recognition Across RGB, Depth, Thermal, and Event Modalities
Dataset Summary
MMHAR-28 is a multimodal human action recognition dataset designed for action classification across four sensing modalities:
RGB
Depth
Thermal
Event
The MMHAR-28 dataset contains 28 human action classes collected in two sessions. Session 1 focuses on single-person sports and exercise actions, while Session 2 focuses on two-person interaction activities.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/issai/MMHA_28.
