HAR

Human Activity Recognition Using Smartphones

Dataset Information
Modalities
Time series
Introduced
2013
License
Public domain
Homepage

Overview

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

Variants: HAR

Associated Benchmarks

This dataset is used in 2 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Human Activity Recognition AFVF Virtual Fusion with Contrastive Learning … 2023-12-01
Image Clustering FCMI Deep Fair Clustering via Maximizing … 2022-09-26
Image Clustering Selective HAR Clustering Efficient Deep Clustering of Human … 2022-09-17
Image Clustering N2D (UMAP) N2D: (Not Too) Deep Clustering … 2019-08-16

Research Papers

Recent papers with results on this dataset: