Siirtola, P.; 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
Experiences with publicly open human activity data sets : studying the generalizability of the recognition models
|Author:||Siirtola, Pekka1; Koskimäki, Heli1; Röning, Juha1|
1Biomimetics and Intelligent Systems Group, P.O. BOX 4500, FI-90014, University of Oulu, Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019041512237
Scitepress science and technology publications,
|Publish Date:|| 2019-04-15
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.
|Pages:||291 - 299|
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018, 16-18 Jan 2018, Funchal, Madeira, Portugal
|Host publication editor:||
De Marsico, Maria
Sanniti di Baja, Gabriella
International Conference on Pattern Recognition Applications and Methods
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
The authors would like to thank Infotech Oulu for funding this work.
© 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. Published in this repository with the kind permission of the publisher.