Dataset Open Access

Smartphone Gyroscope and Accelerometer Dataset for Human Activity Recognition

Emily Huang; Jukka-Pekka Onnela

This dataset is from a study in which we collected smartphone accelerometer and gyroscope data of four subjects while they performed various activities. Two iPhone smartphones were used, with one in the front pants pocket and the other in the back pants pocket. The datasets have been annotated with ground truth activity labels based on video footage. The study procedure is described in our paper: 

Huang, E.J. and Onnela, J.P. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020, 20, 3706.

Files (4.9 MB)
Name Size
data.zip
md5:09d9da8421db34ac06d03901b459334a
4.9 MB Download
  • Huang, E.J. and Onnela, J.P. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020, 20, 3706.

1,372
230
views
downloads
All versions This version
Views 1,3721,367
Downloads 230230
Data volume 1.1 GB1.1 GB
Unique views 1,2541,251
Unique downloads 212212

Share

Cite as