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Authors: Mera Kartika Kartika Delimayanti 1 ; 2 ; Bedy Purnama 1 ; 3 ; Ngoc Giang Nguyen 1 ; Kunti Robiatul Mahmudah 1 ; Mamoru Kubo 4 ; Makiko Kakikawa 4 ; Yoichi Yamada 4 and Kenji Satou 4

Affiliations: 1 Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa, Japan ; 2 Department of Computer and Informatics Engineering, Politeknik Negeri Jakarta, Jakarta, Indonesia ; 3 Telkom School of Computing, TELKOM University, Bandung, Indonesia ; 4 Institute of Science and Engineering, Kanazawa University, Kanazawa, Japan

Keyword(s): Breathing Activities, Depth Image, Classification, Support Vector Machine.

Abstract: This paper describes a new approach of the non-contact capturing method of breathing activities using the Kinect depth sensor. To process the data, we utilized feature extraction on time series of mean depth value and optional feature reduction step. The next process implemented a machine learning algorithm to execute clustering on the resulted data. The classification had been realized on four different subjects and then, continued to use 10-fold cross-validation and Support Vector Machine (SVM) classifier. The most efficient classifier is SVM radial with the grid reached the best accuracy for all of the subjects.

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Paper citation in several formats:
Kartika Delimayanti, M.; Purnama, B.; Nguyen, N.; Mahmudah, K.; Kubo, M.; Kakikawa, M.; Yamada, Y. and Satou, K. (2019). Clustering and Classification of Breathing Activities by Depth Image from Kinect. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOINFORMATICS; ISBN 978-989-758-353-7; ISSN 2184-4305, SciTePress, pages 264-269. DOI: 10.5220/0007567502640269

@conference{bioinformatics19,
author={Mera Kartika {Kartika Delimayanti}. and Bedy Purnama. and Ngoc Giang Nguyen. and Kunti Robiatul Mahmudah. and Mamoru Kubo. and Makiko Kakikawa. and Yoichi Yamada. and Kenji Satou.},
title={Clustering and Classification of Breathing Activities by Depth Image from Kinect},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOINFORMATICS},
year={2019},
pages={264-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007567502640269},
isbn={978-989-758-353-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - BIOINFORMATICS
TI - Clustering and Classification of Breathing Activities by Depth Image from Kinect
SN - 978-989-758-353-7
IS - 2184-4305
AU - Kartika Delimayanti, M.
AU - Purnama, B.
AU - Nguyen, N.
AU - Mahmudah, K.
AU - Kubo, M.
AU - Kakikawa, M.
AU - Yamada, Y.
AU - Satou, K.
PY - 2019
SP - 264
EP - 269
DO - 10.5220/0007567502640269
PB - SciTePress

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