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.
Dataset Files
| File | Size |
|---|---|
| UCI ADL Binary Dataset/OrdonezB_Sensors.txt | 145.2 KB |
| UCI ADL Binary Dataset/OrdonezA_Sensors.txt | 26.9 KB |
| UCI ADL Binary Dataset/OrdonezB_ADLs.txt | 25.6 KB |
| UCI ADL Binary Dataset/OrdonezA_ADLs.txt | 13.4 KB |
| UCI ADL Binary Dataset/README.txt | 2.5 KB |
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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, F. (2013). Activities of Daily Living (ADLs) Recognition Using Binary Sensors [Dataset]. UCI Machine Learning Repository. 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.