Published July 2, 2020
| Version v1
Dataset
Open
Smartphone Gyroscope and Accelerometer Dataset for Human Activity Recognition
Creators
- 1. Wake Forest University, Department of Mathematics and Statistics
- 2. Harvard University, Department of Biostatistics
Description
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
data.zip
Files
(4.9 MB)
Name | Size | Download all |
---|---|---|
md5:09d9da8421db34ac06d03901b459334a
|
4.9 MB | Preview Download |
Additional details
References
- Huang, E.J. and Onnela, J.P. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020, 20, 3706.