Datasets › MSRDailyActivity3D
MSRDailyActivity3D
DailyActivity3D dataset is a daily activity dataset captured by a Kinect device. There are 16 activity types: drink, eat, read book, call cellphone, write on a paper, use laptop, use vacuum cleaner, cheer up, sit still, toss paper, play game, lay down on sofa, walk, play guitar, stand up, sit down. If possible, each subject performs an activity in two different poses: “sitting on sofa” and “standing”. The total number of the activity samples is 320. This dataset is designed to cover human’s daily activities in the living room. When the performer stands close to the sofa or sits on the sofa, the 3D joint positions extracted by the skeleton tracker are very noisy. Moreover, most of the activities involve the humans-object interactions. Thus this dataset is more challenging.
Source: https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/06247813.pdf Image Source: https://www.researchgate.net/publication/308001852_Automatic_Learning_of_Articulated_Skeletons_Based_on_Mean_of_3D_Joints_for_Efficient_Action_Recognition
Benchmarks archive 2025-07-28
All 1 leaderboard 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Multimodal Activity Recognition | MSR Daily Activity3D dataset | DSSCA-SSLM (RGB+D) Accuracy 97.5 | Deep Multimodal Feature Analysis for Action Recognition... | — | 6 | Compare |
Papers archive 2025-07-28
6 shown of 6 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 45. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Action Machine: Rethinking Action Recognition in Trimmed Videos | 0 | 1 | 14 Dec 2018 | not harvested |
| Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos | 0 | 1 | 23 Mar 2016 | not harvested |
| Moving poselets: A discriminative and interpretable skeletal motion representation for action recognition | 0 | 1 | 7 Dec 2015 | not harvested |
| Multimodal Multipart Learning for Action Recognition in Depth Videos | 0 | 1 | 31 Jul 2015 | not harvested |
| Fusing multiple features for depth-based action recognition | 0 | 1 | 1 May 2015 | not harvested |
| Group sparsity and geometry constrained dictionary learning for action recognition from depth maps. | 0 | 1 | 3 Mar 2014 | not harvested |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
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Variants archive 2025-07-28
- MSR Daily Activity3D
- MSR Daily Activity3D dataset
- MSRDailyActivity3D
3 variant names, as the archive lists them.
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