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| Content Provider | ACM Digital Library |
|---|---|
| Author | Jansen, Jack Röggla, Thomas Guerra-Gomez, John Alexis Cesar, Pablo Cabrero, Sergio Shamma, David A. |
| 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. |
| Starting Page | 181 |
| Ending Page | 186 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450350020 |
| DOI | 10.1145/3083187.3083213 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-06-20 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Dataset Crowd Accelerometer Wearables Sensing Activity Ble Nightclubs Iot Location |
| Content Type | Text |
| Resource Type | Article |
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