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Smartphone Gyroscope and Accelerometer Dataset for Human Activity Recognition

Research datakeyboard_double_arrow_right Dataset 02 Jul 2020Publisher:Zenodo

Authors: Huang, Emily; Jukka-Pekka Onnela;

doi: 10.5281/zenodo.3925679 , 10.5281/zenodo.3925678

Smartphone Gyroscope and Accelerometer Dataset for Human Activity Recognition

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Abstract

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.

{"references": ["Huang, E.J. and Onnela, J.P. Augmented Movelet Method for Activity Classification Using Smartphone Gyroscope and Accelerometer Data. Sensors 2020, 20, 3706."]}

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