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High reliability Android application for multidevice multimodal mobile data acquisition and annotation

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conference contribution
posted on 2023-06-09, 07:50 authored by Mathias Ciliberto, Francisco Javier Ordonez Morales, Hristijan GjoreskiHristijan Gjoreski, Daniel RoggenDaniel Roggen, Sami Mekki, Stefan Valentin
We have completed the collection of one of the richest accurately annotated mobile dataset of modes of transportation and locomotion. To do this, we developed a highly reliable Android application called DataLogger capable of recording multisensor data from multiple synchronized smartphones simultaneously. The application allows real-time data annotation. We explain how we designed the app to achieve high reliability and ease of use. We also present an evaluation of the application in a big-data collection (750 hours, 950 GB of data, 17 different sensor modalities), analysing the data loss (less than 0.4‰) and battery consumption (˜6% on average per hour). The application is available as open source.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

SenSys '17 Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems

Publisher

ACM

Event name

15th ACM Conference on Embedded Networked Sensor Systems

Event location

Delft, Netherlands

Event type

conference

Event date

5-8 November

ISBN

9781450354592

Department affiliated with

  • Engineering and Design Publications

Research groups affiliated with

  • Sensor Technology Research Centre Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Editors

Marco Zuniga, Andrew Markham

Legacy Posted Date

2017-09-07

First Open Access (FOA) Date

2018-04-26

First Compliant Deposit (FCD) Date

2017-09-07

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