CWI-ADE2016 Dataset: Sensing nightclubs through 40 million BLE packets

Sergio Cabrero, Jack Jansen, Thomas Röggla, John Alexis Guerra-Gomez, David A. Shamma, Pablo Cesar

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

The CWI-ADE2016 Dataset is a collection of more than 40 million Bluetooth Low Energy (BLE) packets and of 14 million accelerometer and temperature samples generated by wristbands that people wore in a nightclub. The data was gathered during Amsterdam Dance Event 2016 in an exclusive club experience curated around human senses, which leveraged technology as a bridge between the club and the guests. Each guest was handed a custom-made wristband with a BLE-enabled device that broadcast movement, temperature and other sensor readings. A network of Raspberry Pi receivers deployed for the occasion captured broadcast packets from wristbands and any other BLE device in the environment. This data provides a full picture of the performance of the real life deployment of a sensing infrastructure and gives insights to designing sensing platforms, understanding networks and crowds behaviour or studying opportunistic sensing. This paper describes an analysis of this dataset and some examples of usage.

Original languageEnglish
Title of host publicationProceedings of the 8th ACM Multimedia Systems Conference, MMSys 2017
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages181-186
Number of pages6
ISBN (Electronic)978-1-4503-5002-0
DOIs
Publication statusPublished - 2017
EventMMSyS 2017: 8th ACM Multimedia Systems Conference - Taipei, Taiwan
Duration: 20 Jun 201723 Jun 2017
Conference number: 8

Conference

ConferenceMMSyS 2017
CountryTaiwan
CityTaipei
Period20/06/1723/06/17

Keywords

  • Accelerometer
  • Activity
  • BLE
  • Crowd
  • Dataset
  • Location
  • LoT
  • Nightclubs
  • Sensing
  • Wearables

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