| HAPT {HDcpDetect} | R Documentation |
Human Activity Recognition Dataset
Description
This sample data is drawn from the Human Activity Recognition (HAPT) Dataset on the UCI Machine Learning Repository. The original dataset includes sensor recordings from 30 subjects performing a range of daily activities. The data has 561 attributes, consisting of different accelerometer and gyroscope measurements. A small portion of the overall dataset (10 seconds of recordings for subject A) is included in this package.
Usage
HAPT
Format
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Source
https://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
1. Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. A Public Domain Dataset for Human Activity Recognition Using Smartphones. 21th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013. Bruges Belgium 24-26 April 2013.