Towards robust framework for on-line human activity reporting using accelerometer readings

Michał Meina; Bartosz Celmer; Krzysztof Rykaczewski

doi:10.1007/978-3-319-09912-5_29

Towards robust framework for on-line human activity reporting using accelerometer readings

Michał Meina, Bartosz Celmer, Krzysztof Rykaczewski

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

This paper investigates subsequent matching approach and feature-based classification for activity recognition using accelerometer readings. Recognition is done by similarity measure based on Dynamic Time Warping (DTW) on each acceleration axis. Ensemble method is proposed and comparative study is executed showing better and more stable results. Our scenario assumes that activity is recognized with very small latency. Results shows that hybrid approach is promising for activity reporting, i.e. different walking patterns, using of tools. The proposed solution is designed to be a part of decision support in fire and rescue actions at the fire ground.

Original language	English
Title of host publication	Active Media Technology - 10th International Conference, AMT 2014, Proceedings
Publisher	Springer Verlag
Pages	347-358
Number of pages	12
ISBN (Print)	9783319099118
DOIs	https://doi.org/10.1007/978-3-319-09912-5_29
State	Published - 2014
Externally published	Yes
Event	10th International Conference on Active Media Technology, AMT 2014 - Warsaw, Poland Duration: Aug 11 2014 → Aug 14 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8610 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	10th International Conference on Active Media Technology, AMT 2014
Country/Territory	Poland
City	Warsaw
Period	08/11/14 → 08/14/14

Access to Document

10.1007/978-3-319-09912-5_29

Cite this

Meina, M., Celmer, B., & Rykaczewski, K. (2014). Towards robust framework for on-line human activity reporting using accelerometer readings. In Active Media Technology - 10th International Conference, AMT 2014, Proceedings (pp. 347-358). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8610 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-09912-5_29

Meina, Michał ; Celmer, Bartosz ; Rykaczewski, Krzysztof. / Towards robust framework for on-line human activity reporting using accelerometer readings. Active Media Technology - 10th International Conference, AMT 2014, Proceedings. Springer Verlag, 2014. pp. 347-358 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Towards robust framework for on-line human activity reporting using accelerometer readings",

abstract = "This paper investigates subsequent matching approach and feature-based classification for activity recognition using accelerometer readings. Recognition is done by similarity measure based on Dynamic Time Warping (DTW) on each acceleration axis. Ensemble method is proposed and comparative study is executed showing better and more stable results. Our scenario assumes that activity is recognized with very small latency. Results shows that hybrid approach is promising for activity reporting, i.e. different walking patterns, using of tools. The proposed solution is designed to be a part of decision support in fire and rescue actions at the fire ground.",

author = "Micha{\l} Meina and Bartosz Celmer and Krzysztof Rykaczewski",

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language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Meina, M, Celmer, B & Rykaczewski, K 2014, Towards robust framework for on-line human activity reporting using accelerometer readings. in Active Media Technology - 10th International Conference, AMT 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8610 LNCS, Springer Verlag, pp. 347-358, 10th International Conference on Active Media Technology, AMT 2014, Warsaw, Poland, 08/11/14. https://doi.org/10.1007/978-3-319-09912-5_29

Towards robust framework for on-line human activity reporting using accelerometer readings. / Meina, Michał; Celmer, Bartosz; Rykaczewski, Krzysztof.
Active Media Technology - 10th International Conference, AMT 2014, Proceedings. Springer Verlag, 2014. p. 347-358 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8610 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper investigates subsequent matching approach and feature-based classification for activity recognition using accelerometer readings. Recognition is done by similarity measure based on Dynamic Time Warping (DTW) on each acceleration axis. Ensemble method is proposed and comparative study is executed showing better and more stable results. Our scenario assumes that activity is recognized with very small latency. Results shows that hybrid approach is promising for activity reporting, i.e. different walking patterns, using of tools. The proposed solution is designed to be a part of decision support in fire and rescue actions at the fire ground.

AB - This paper investigates subsequent matching approach and feature-based classification for activity recognition using accelerometer readings. Recognition is done by similarity measure based on Dynamic Time Warping (DTW) on each acceleration axis. Ensemble method is proposed and comparative study is executed showing better and more stable results. Our scenario assumes that activity is recognized with very small latency. Results shows that hybrid approach is promising for activity reporting, i.e. different walking patterns, using of tools. The proposed solution is designed to be a part of decision support in fire and rescue actions at the fire ground.

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Meina M, Celmer B, Rykaczewski K. Towards robust framework for on-line human activity reporting using accelerometer readings. In Active Media Technology - 10th International Conference, AMT 2014, Proceedings. Springer Verlag. 2014. p. 347-358. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-09912-5_29

Towards robust framework for on-line human activity reporting using accelerometer readings

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