Datasets › HAR
HAR (Human Activity Recognition Using Smartphones)
The Human Activity Recognition Dataset has been collected from 30 subjects performing six different activities (Walking, Walking Upstairs, Walking Downstairs, Sitting, Standing, Laying). It consists of inertial sensor data that was collected using a smartphone carried by the subjects.
Source: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones Image Source: https://www.youtube.com/watch?v=XOEN9W05_4A
Benchmarks archive 2025-07-28
All 3 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) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Image Clustering | HAR | FCMI Accuracy 0.882 | Deep Fair Clustering via Maximizing and Minimizing... | PengxinZeng/2023-CVPR-FCMI | 3 | Compare |
| Human Activity Recognition | HAR | LMSS Accuracy 0.9952 | Leveraging LDA Feature Extraction to Augment Human... | miladvazan/LDA-MLP-SVM-SGD | 2 | Compare |
| Recognizing And Localizing Human Actions | HAR | TS-TCC 1:1 Accuracy 90.37 | Time-Series Representation Learning via Temporal and... | emadeldeen24/TS-TCC +1 | 1 | 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 307. 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 | |||
|---|---|---|---|---|
| Leveraging LDA Feature Extraction to Augment Human Activity Recognition Accuracy | 1 | 1 | 23 Jun 2024 | not harvested |
| Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition | 0 | 1 | 1 Dec 2023 | not harvested |
| Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric | 1 | 1 | 26 Sep 2022 | ran 0 of 8 samples (8 unverified) |
| Efficient Deep Clustering of Human Activities and How to Improve Evaluation | 1 | 1 | 17 Sep 2022 | not harvested |
| Time-Series Representation Learning via Temporal and Contextual Contrasting | 2 | 1 | 26 Jun 2021 | ran 2 of 2 samples (0 unverified) |
| N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding | 5 | 1 | 16 Aug 2019 | ran 2 of 4 samples (2 unverified; 2 pointer-only for licence) |
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
Public domain
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- HAR
1 variant name, as the archive lists them.
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