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#' @title Mobile Health.
#' @description The MHEALTH (Mobile Health) dataset benchmarks techniques for human behavior analysis based on multimodal body sensing.
#' @details Recordings of body motion for ten volunteers
#' performing several physical activities. Sensors are placed on the subject's chest, right wrist
#' and left ankle are used to measure the motion experienced by diverse body parts, namely,
#' acceleration, rate of turn and magnetic field orientation. The sensor positioned on the chest
#' also provides 2-lead ECG measurements, which can be potentially used for basic heart monitoring,
#' checking for various arrhythmias or looking at the effects of exercise on the ECG.
#'
#' @format A time series data with multi-classes and multi-features.
#' \describe{
#' #Activities: 12
#'
#' #Sensor devices: 3
#'
#' #Subjects: 10
#'
#' The activity set is listed in the following:
#'
#' L1: Standing still (1 min)
#'
#' L2: Sitting and relaxing (1 min)
#'
#' L3: Lying down (1 min)
#'
#' L4: Walking (1 min)
#'
#' L5: Climbing stairs (1 min)
#'
#' L6: Waist bends forward (20x)
#'
#' L7: Frontal elevation of arms (20x)
#'
#' L8: Knees bending (crouching) (20x)
#'
#' L9: Cycling (1 min)
#'
#' L10: Jogging (1 min)
#'
#' L11: Running (1 min)
#'
#' L12: Jump front & back (20x)
#'
#' The meaning of each column is detailed next:
#'
#' Column 1: acceleration from the chest sensor (X axis)
#'
#' Column 2: acceleration from the chest sensor (Y axis)
#'
#' Column 3: acceleration from the chest sensor (Z axis)
#'
#' Column 4: electrocardiogram signal (lead 1)
#'
#' Column 5: electrocardiogram signal (lead 2)
#'
#' Column 6: acceleration from the left-ankle sensor (X axis)
#'
#' Column 7: acceleration from the left-ankle sensor (Y axis)
#'
#' Column 8: acceleration from the left-ankle sensor (Z axis)
#'
#' Column 9: gyro from the left-ankle sensor (X axis)
#'
#' Column 10: gyro from the left-ankle sensor (Y axis)
#'
#' Column 11: gyro from the left-ankle sensor (Z axis)
#'
#' Column 12: magnetometer from the left-ankle sensor (X axis)
#'
#' Column 13: magnetometer from the left-ankle sensor (Y axis)
#'
#' Column 14: magnetometer from the left-ankle sensor (Z axis)
#'
#' Column 15: acceleration from the right-lower-arm sensor (X axis)
#'
#' Column 16: acceleration from the right-lower-arm sensor (Y axis)
#'
#' Column 17: acceleration from the right-lower-arm sensor (Z axis)
#'
#' Column 18: gyro from the right-lower-arm sensor (X axis)
#'
#' Column 19: gyro from the right-lower-arm sensor (Y axis)
#'
#' Column 20: gyro from the right-lower-arm sensor (Z axis)
#'
#' Column 21: magnetometer from the right-lower-arm sensor (X axis)
#'
#' Column 22: magnetometer from the right-lower-arm sensor (Y axis)
#'
#' Column 23: magnetometer from the right-lower-arm sensor (Z axis)
#'
#' Column 24: Label (0 for the null class)
#'
#' In this dataset, for a simple example displaying, only subject 1-5 and feature 12 (magnetometer
#' from the left-ankle sensor (X axis)) are used, and the dataset is reformated to binary class.
#' Class 11 is set as positive, others as negative. The time series sequences length uses 30. Each
#' sequence occurs in one line.
#' }
#'
#' @references Banos, O., Garcia, R., Holgado, J. A., Damas, M., Pomares, H., Rojas, I., Saez, A., Villalonga, C.
#' mHealthDroid: a novel framework for agile development of mobile health applications.
#' Proceedings of the 6th International Work-conference on Ambient Assisted Living an Active Ageing (IWAAL 2014),
#' Belfast, Northern Ireland, December 2-5, (2014).
#'
#' Banos, O., Villalonga, C., Garcia, R., Saez, A., Damas, M., Holgado, J. A., Lee, S., Pomares, H., Rojas, I.
#' Design, implementation and validation of a novel open framework for agile development of mobile health applications.
#' BioMedical Engineering OnLine, vol. 14, no. S2:S6, pp. 1-20 (2015).
#'
#' @return mhealth: the dataset MHEALTH
#' @export Dataset_MHEALTH
Dataset_MHEALTH <- function(){
mhealth <- local(get(load(url('https://github.com/lweicdsor/GSoC2017/raw/master/MHEALTH/Dataset_MHEALTH.rdata'))))
return (mhealth)
}
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