Activity Recognition from Single Chest-Mounted Accelerometer
Donated on 3/1/2014
The dataset collects data from a wearable accelerometer mounted on the chest. The dataset is intended for Activity Recognition research purposes.
Dataset Characteristics
Univariate, Sequential, Time-Series
Subject Area
Other
Associated Tasks
Classification, Clustering
Feature Type
Real
# Instances
-
# Features
-
Dataset Information
Additional Information
--- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Accelerometer Data are Uncalibrated --- Number of Participants: 15 --- Number of Activities: 7 --- Data Format: CSV
Has Missing Values?
No
Variable Information
--- Data are separated by participant --- Each file contains the following information ---- sequential number, x acceleration, y acceleration, z acceleration, label --- Labels are codified by numbers --- 1: Working at Computer --- 2: Standing Up, Walking and Going updown stairs --- 3: Standing --- 4: Walking --- 5: Going UpDown Stairs --- 6: Walking and Talking with Someone --- 7: Talking while Standing
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset activity_recognition_from_single_chest_mounted_accelerometer = fetch_ucirepo(id=287) # data (as pandas dataframes) X = activity_recognition_from_single_chest_mounted_accelerometer.data.features y = activity_recognition_from_single_chest_mounted_accelerometer.data.targets # metadata print(activity_recognition_from_single_chest_mounted_accelerometer.metadata) # variable information print(activity_recognition_from_single_chest_mounted_accelerometer.variables)
Casale,P., Pujol,O., and Radeva,P.. (2014). Activity Recognition from Single Chest-Mounted Accelerometer. UCI Machine Learning Repository. https://doi.org/10.24432/C56P5J.
@misc{misc_activity_recognition_from_single_chest-mounted_accelerometer_287,
author = {Casale,P., Pujol,O., and Radeva,P.},
title = {{Activity Recognition from Single Chest-Mounted Accelerometer}},
year = {2014},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C56P5J}
}Creators
P. Casale
O. Pujol
P. Radeva
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.