Dataset for ADL Recognition with Wrist-worn Accelerometer
Donated on 2/10/2014
Recordings of 16 volunteers performing 14 Activities of Daily Living (ADL) while carrying a single wrist-worn tri-axial accelerometer.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification, Clustering
Feature Type
-
# Instances
-
# Features
-
Dataset Information
Additional Information
The Dataset for ADL Recognition with Wrist-worn Accelerometer is a public collection of labelled accelerometer data recordings to be used for the creation and validation of acceleration models of simple ADL. The Dataset is composed of the recordings of 14 simple ADL (brush_teeth, climb_stairs, comb_hair, descend_stairs, drink_glass, eat_meat, eat_soup, getup_bed, liedown_bed, pour_water, sitdown_chair, standup_chair, use_telephone, walk) perfomed by a total of 16 volunteers. The data are collected by a single tri-axial accelerometer attached to the right-wrist of the volunteer. Accelerometer specifications are detailed in the file MANUAL.TXT inside the Dataset folder. Detailed documentation about the dataset is provided in the files README.TXT and MANUAL.TXT inside the Dataset folder.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no |
0 to 3 of 3
Additional Variable Information
Each file in the dataset follows the following naming convention: Accelerometer-[START_TIME]-[ADL]-[VOLUNTEER] where: - [START_TIME]: timestamp of the starting moment of the recording in the format [YYYY-MM-DD-HH-MM-SS] - [HMP]: name of the ADL performed in the recorded trial - [VOLUNTEER]: identification code of the volunteer performing the recorded motion in the format [gN] where: - 'g' indicates the gender of the volunteer (m -> male, f -> female) - 'N' indicates the progressive number associated to the volunteer Each record of a file reports: - acceleration along the x axis of the accelerometer - acceleration along the y axis of the accelerometer - acceleration along the z axis of the accelerometer
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset dataset_for_adl_recognition_with_wrist_worn_accelerometer = fetch_ucirepo(id=283) # data (as pandas dataframes) X = dataset_for_adl_recognition_with_wrist_worn_accelerometer.data.features y = dataset_for_adl_recognition_with_wrist_worn_accelerometer.data.targets # metadata print(dataset_for_adl_recognition_with_wrist_worn_accelerometer.metadata) # variable information print(dataset_for_adl_recognition_with_wrist_worn_accelerometer.variables)
Bruno,Barbara, Mastrogiovanni,Fulvio, and Sgorbissa,Antonio. (2014). Dataset for ADL Recognition with Wrist-worn Accelerometer. UCI Machine Learning Repository. https://doi.org/10.24432/C5PC99.
@misc{misc_dataset_for_adl_recognition_with_wrist-worn_accelerometer_283,
author = {Bruno,Barbara, Mastrogiovanni,Fulvio, and Sgorbissa,Antonio},
title = {{Dataset for ADL Recognition with Wrist-worn Accelerometer}},
year = {2014},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5PC99}
}Creators
Barbara Bruno
Fulvio Mastrogiovanni
Antonio Sgorbissa
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.