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.

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Creators

Francisco Ordez

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