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Open Source Data Collection and Data Sets for Activity Recognition in Smart Homes

Fulltext:


Authors:

Uwe Köckemann , Marjan Alirezaie , Jennifer Renoux , Nicolas Tsiftes , Mobyen Uddin Ahmed, Daniel Morberg, Maria Lindén, Amy Loutfi

Publication Type:

Journal article

Venue:

Sensing Technologies for Ambient Assisted Living and Smart Homes

Publisher:

mdpi

DOI:

https://doi.org/10.3390/s20030879


Abstract

As research in smart homes and activity recognition is increasing, it is of ever increasing importance to have benchmarks systems and data upon which researchers can compare methods. While synthetic data can be useful for certain method development, real data sets that are open and shared are as equally important. This paper presents the E-care@home system, its installation in a real home setting, and a series of data sets that were collected using the E-care@home system. Our first contribution, the E-care@home system is a collection of software modules for data collection, labeling, and various reasoning tasks such as activity recognition, person counting, and configuration planning. It supports a heterogeneous set of sensors that can be extended easily and connects collected sensor data to higher-level AI reasoning modules. Our second contribution is a series of open data sets which can be used to recognize activities of daily living. In addition to these data sets, we describe the technical infrastructure that we have developed to collect the data, and the physical environment. Each data set is annotated with ground truth information, making it relevant for researchers interested in benchmarking different algorithms for activity recognition.

Bibtex

@article{Kockemann5749,
author = {Uwe K{\"o}ckemann and Marjan Alirezaie and Jennifer Renoux and Nicolas Tsiftes and Mobyen Uddin Ahmed and Daniel Morberg and Maria Lind{\'e}n and Amy Loutfi },
title = {Open Source Data Collection and Data Sets for Activity Recognition in Smart Homes},
editor = {Dr. Antoni Mart{\'\i}nez Ballest{\'e}},
volume = {20},
number = {3},
pages = {1--21},
month = {February},
year = {2020},
journal = {Sensing Technologies for Ambient Assisted Living and Smart Homes},
publisher = {mdpi},
url = {http://www.es.mdh.se/publications/5749-}
}