Poster: SensingKit - A multi-platform mobile sensing framework for large-scale experiments

Kleomenis Katevas, Hamed Haddadi, Laurissa Tokarchuk

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

With the rapid rise in variety of available smartphones to- day and their rich sensing capabilities, there is an increasing interest in using mobile sensing in large-scale experiments and commercial applications. Motivated by the lack of a universal, multi-platform library, in this paper we present SensingKit, an efficient, open-source, client-server system that supports both iOS and Android mobile devices. Sens- ingKit is capable of continuous sensing the device's motion (Accelerometer, Gyroscope, Magnetometer), location (GPS) and proximity to other smartphones (Bluetooth Smart). The data are temporarily saved to the device's memory and trans- mitted to a server for further analysis over any Internet con- nection. We believe that this platform will be beneficial to all researchers and developers who need to perform mobile sensing in their applications and experiments. Copyright

Original languageEnglish
Title of host publicationProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
PublisherAssociation for Computing Machinery
Pages375-377
Number of pages3
ISBN (Print)9781450327831
DOIs
Publication statusPublished - 7 Sep 2014
Event20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014 - Maui
Duration: 7 Sep 201411 Sep 2014

Other

Other20th ACM Annual International Conference on Mobile Computing and Networking, MobiCom 2014
CityMaui
Period7/9/1411/9/14

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Keywords

  • Android
  • iOS
  • Mobile sensing
  • Motion data
  • Spatio-temporal data

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Katevas, K., Haddadi, H., & Tokarchuk, L. (2014). Poster: SensingKit - A multi-platform mobile sensing framework for large-scale experiments. In Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM (pp. 375-377). Association for Computing Machinery. https://doi.org/10.1145/2639108.2642910