research-article

A multi-media exchange format for time-series dataset curation

Authors:

Philipp M. Scholl,

Kristof Van LaerhovenAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 715 - 721

https://doi.org/10.1145/2968219.2968278

Published: 12 September 2016 Publication History

Abstract

Exchanging data as comma-separated values (CSV) is slow, cumbersome and error-prone. Especially for time-series data, which is common in Activity Recognition, synchronizing several independently recorded sensors is challenging. Adding second level evidence, like video recordings from multiple angles and time-coded annotations, further complicates the matter of curating such data.

A possible alternative is to make use of standardized multi-media formats. Sensor data can be encoded in audio format, and time-coded information, like annotations, as sub-titles. Video data can be added easily. All this media can be merged into a single container file, which makes the issue of synchronization explicit. The incurred performance overhead by this encoding is shown to be negligible and compression can be applied to optimize storage and transmission overhead.

References

[1]

Marko Borazio et al. "Towards Benchmarked Sleep Detection with Inertial Wrist-worn Sensing Units". In: Healthc. Informatics. 2014.

Digital Library

[2]

David Bryant. The WavPack Codec. URL: https://www.wavpack.org/.

[3]

Andreas Bulling, Ulf Blanke, and Bernt Schiele. "A tutorial on human activity recognition using body-worn inertial sensors". In: ACM Comput. Surv. 46.3 (2014), pp. 1--33. ISSN: 03600300. URL: http://dl.acm.org/citation.cfm?doid=2578702.2499621.

Digital Library

[4]

Chih-Chung Chang and Chih-Jen Lin. LIBSVM: A Library for Support Vector Machines. 2011.

Digital Library

[5]

Mark Hall et al. "The WEKA data mining software". In: SIGKDD Explor. Newsl. 11.1 (2009), p. 10. ISSN: 19310145. URL: http://portal.acm.org/citation.cfm?doid=1656274.1656278.

Digital Library

[6]

Stephen S Intille et al. "Using a Live-In Laboratory for Ubiquitous Computing Research". In: Pervasive Comput. (2006), pp. 349--365.

Digital Library

[7]

T L M Van Kasteren, G Englebienne, and B J A Kr. "Human Activity Recognition from Wireless Sensor Network Data : Benchmark and Software". In: Act. Recognit. Pervasive Intell. Environ. 2010.

[8]

Nobuo Kawaguchi, Nobuhiro Ogawa, and Yohei Iwasaki. "Hasc challenge: gathering large scale human activity corpus for the real-world activity understandings". In: Proc. 2nd Augment. Hum. Int. Conf. (2011), p. 27. URL: http://dl.acm.org/citation.cfm?id=1959853.

Digital Library

[9]

Kristof van Laerhoven. Longitudinal Wrist Motion Dataset. URL: https://es.informatik.uni- freiburg.de/application/files/hhg%7B%5C_%7Dlogs/0089/index.html (visited on 06/06/2016).

[10]

David Lamparter. Advanced Sub Station Alpha. URL: http://fileformats.wikia.com/wiki/SubStation%7B%5C_%7DAlpha (visited on 06/06/2016).

[11]

Non-Profit Organization Matroska. Tha Matroska File Format. URL: https://www.matroska.org/ (visited on 06/06/2016).

[12]

Daniel Roggen et al. "Collecting complex activity datasets in highly rich networked sensor environments". In: Int. Conf. Networked Sens. Syst. 2010.

[13]

Thomas Stiefmeier et al. "Wearable activity tracking in car manufacturing". In: IEEE Pervasive Comput. 7.2 (2008), pp. 42--50. ISSN: 15361268.

Digital Library

[14]

Suramya Tomar. "Converting video formats with FFmpeg". In: Linux J. 2006 (2006).

Digital Library

[15]

Consortium WebM. The WebM File Format. URL: http://www.webmproject.org/ (visited on 06/06/2016).

[16]

Tracy Westeyn et al. "A naive technique correcting time-series data for recognition applications". In: Proc. - Int. Symp. Wearable Comput. ISWC (2009), pp. 159--160. ISSN: 15504816.

Digital Library

[17]

Foundation Xiph.org. The Free Lossless Audio Codec (FLAC). URL: https://www.xiph.org/flac/.

Cited By

Wahl KScholl PWirth SMiché MHäni JSchülin PLieb R(2022)On the automatic detection of enacted compulsive hand washing using commercially available wearable devicesComputers in Biology and Medicine10.1016/j.compbiomed.2022.105280143:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.compbiomed.2022.105280
Soneda YMatsuda YArakawa YYasumoto KHarle RFarrahi KLane N(2019)M3B corpusAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3345588(825-834)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341162.3345588
Scholl PVan Laerhoven K(2019)Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor DataHuman Activity Sensing10.1007/978-3-030-13001-5_2(17-28)Online publication date: 10-Sep-2019
https://doi.org/10.1007/978-3-030-13001-5_2

Index Terms

A multi-media exchange format for time-series dataset curation

Recommendations

On Automating Basic Data Curation Tasks
WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion

Big data analytics is firmly recognized as a strategic priority for modern enterprises. At the heart of big data analytics lies the data curation process, consists of tasks that transform raw data (unstructured, semi-structured and structured data ...
A Generic Model for Universal Data Storage and Conversion and Its Web Based Prototypical Implementation

This paper presents a prototypical, Web based data conversion framework and its underlying data representation principles which allow conversions from and to any data format. Therefore, a data model is proposed which allows storing values of arbitrary ...
A Standard Textual Interchange Format for the Object Exchange Model (OEM)

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

UbiComp '16

Sponsor:

UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
102
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 13 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Wahl KScholl PWirth SMiché MHäni JSchülin PLieb R(2022)On the automatic detection of enacted compulsive hand washing using commercially available wearable devicesComputers in Biology and Medicine10.1016/j.compbiomed.2022.105280143:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.compbiomed.2022.105280
Soneda YMatsuda YArakawa YYasumoto KHarle RFarrahi KLane N(2019)M3B corpusAdjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers10.1145/3341162.3345588(825-834)Online publication date: 9-Sep-2019
https://dl.acm.org/doi/10.1145/3341162.3345588
Scholl PVan Laerhoven K(2019)Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor DataHuman Activity Sensing10.1007/978-3-030-13001-5_2(17-28)Online publication date: 10-Sep-2019
https://doi.org/10.1007/978-3-030-13001-5_2

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten