Datasets › UTD-MHAD

UTD-MHAD

Introduced in UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor1 Jan 2015 archive 2025-07-28

The UTD-MHAD dataset consists of 27 different actions performed by 8 subjects. Each subject repeated the action for 4 times, resulting in 861 action sequences in total. The RGB, depth, skeleton and the inertial sensor signals were recorded.

Source: Skepxels: Spatio-temporal Image Representation of Human Skeleton Joints for Action Recognition Image Source: https://www.researchgate.net/figure/Sample-shots-of-the-27-actions-in-the-UTD-MHAD-database_fig12_283090976

Benchmarks archive 2025-07-28

All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Multimodal Activity Recognition UTD-MHAD PoseMap Accuracy (CS) 94.5 Recognizing Human Actions as the Evolution of Pose... — 5 Compare
Action Recognition UTD-MHAD Action Machine (RGB only) Accuracy 92.5 Action Machine: Rethinking Action Recognition in Trimmed Videos — 1 Compare

Papers archive 2025-07-28

5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 62. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • UTD-MHAD

1 variant name, as the archive lists them.

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