issai/MMHA_28
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.… See the full description on the dataset page: https://huggingface.co/datasets/issai/MMHA_28.
| Author / organization | issai |
|---|---|
| Downloads | 340 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 9 September 2025 |
| Last updated at source | 26 March 2026 |
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340 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: 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 Therm → 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 Therm
Changes detected by Silytics between refreshes of the source.
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