R/HAPT.R

In HDcpDetect: Detect Change Points in Means of High Dimensional Data

#' Human Activity Recognition Dataset
#'
#' 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.
#'
#'
#'
#' @format
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#' }
#
#' @source{
#' \url{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.
#'
"HAPT"