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Authors: Pekka Siirtola ; Heli Koskimäki and Juha Röning

Affiliation: University of Oulu, Finland

ISBN: 978-989-758-276-9

Keyword(s): Human Activity Recognition, Accelerometer, Open Data Sets, Cross-validation.

Related Ontology Subjects/Areas/Topics: Applications ; Cardiovascular Imaging and Cardiography ; Cardiovascular Technologies ; Classification ; Computer Vision, Visualization and Computer Graphics ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Signal Processing ; Software Engineering ; Theory and Methods

Abstract: In this article, it is studied how well inertial sensor-based human activity recognition models work when training and testing data sets are collected in different environments. Comparison is done using publicly open human activity data sets. This article has four objectives. Firstly, survey about publicly available data sets is presented. Secondly, one previously not shared human activity data set used in our earlier work is opened for public use. Thirdly, the genaralizability of the recognition models trained using publicly open data sets are experimented by testing them with data from another publicly open data set to get knowledge to how models work when they are used in different environment, with different study subjects and hardware. Finally, the challenges encountered using publicly open data sets are discussed. The results show that data gathering protocol can have a statistically significant effect to the recognition rates. In addition, it was noted that often publicly open human activity data sets are not as easy to apply as they should be. (More)

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Paper citation in several formats:
Siirtola, P.; Koskimäki, H. and Röning, J. (2018). Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 291-299. DOI: 10.5220/0006553302910299

@conference{icpram18,
author={Pekka Siirtola. and Heli Koskimäki. and Juha Röning.},
title={Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={291-299},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006553302910299},
isbn={978-989-758-276-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Experiences with Publicly Open Human Activity Data Sets - Studying the Generalizability of the Recognition Models
SN - 978-989-758-276-9
AU - Siirtola, P.
AU - Koskimäki, H.
AU - Röning, J.
PY - 2018
SP - 291
EP - 299
DO - 10.5220/0006553302910299

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