Ciliberto, Mathias, Ordonez Morales, Francisco Javier, Gjoreski, Hristijan, Roggen, Daniel, Mekki, Sami and Valentin, Stefan (2017) High reliability Android application for multidevice multimodal mobile data acquisition and annotation. 15th ACM Conference on Embedded Networked Sensor Systems, Delft, Netherlands, 5-8 November. Published in: Markham, Andrew and Zuniga, Marco, (eds.) SenSys '17 Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems. ACM ISBN 9781450354592

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Abstract

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.

Item Type:	Conference Proceedings
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Sensor Technology Research Centre
Subjects:	Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Related URLs:	Organisation
Depositing User:	Mathias Ciliberto
Date Deposited:	07 Sep 2017 11:16
Last Modified:	27 Apr 2018 15:53
URI:	http://sro.sussex.ac.uk/id/eprint/70024

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