Activities of Daily Living (ADLs) Recognition Using Binary Sensors
Donated on 10/27/2013
This dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes.
Dataset Characteristics
Multivariate, Sequential, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification, Clustering
Feature Type
-
# Instances
2747
# Features
-
Dataset Information
Additional Information
This dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two instances of data, each one corresponding to a different user and summing up to 35 days of fully labelled data. Each instance of the dataset is described by three text files, namely: description, sensors events (features), activities of the daily living (labels). Sensor events were recorded using a wireless sensor network and data were labelled manually.
Has Missing Values?
No
Variable Information
The features are the sensor events captured for the corresponding Wireless Sensor Network.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset activities_of_daily_living_adls_recognition_using_binary_sensors = fetch_ucirepo(id=271) # data (as pandas dataframes) X = activities_of_daily_living_adls_recognition_using_binary_sensors.data.features y = activities_of_daily_living_adls_recognition_using_binary_sensors.data.targets # metadata print(activities_of_daily_living_adls_recognition_using_binary_sensors.metadata) # variable information print(activities_of_daily_living_adls_recognition_using_binary_sensors.variables)
Ordez,Francisco. (2013). Activities of Daily Living (ADLs) Recognition Using Binary Sensors. UCI Machine Learning Repository. https://doi.org/10.24432/C5J02M.
@misc{misc_activities_of_daily_living_(adls)_recognition_using_binary_sensors_271,
author = {Ordez,Francisco},
title = {{Activities of Daily Living (ADLs) Recognition Using Binary Sensors}},
year = {2013},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5J02M}
}Creators
Francisco Ordez
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.