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| Content Provider | ACM Digital Library |
|---|---|
| Author | Chakraborty, Dipanjan Subbaraju, Vigneshwaran Nandakumar, Vikrant Batra, Sonali Misra, Archan Kumar, Amit Kanhere, Salil Naik, Vinayak De, Pradipta |
| Abstract | We explore the use of a participatory sensing paradigm, where data generated from individual smartphones is used to extract and understand collective properties of temporary public gatherings and events (e.g., concerts & conferences). We focus on the use of this paradigm at a technical conference, and describe the design, implementation and deployment of ConferenceSense, an application that uses multiple sensor and human-generated inputs from attendees' smartphones to infer context, such as the start time of a session or the degree of interaction during a tea break. Based on data collected from multiple attendees at a 3-day conference, we explore how ConferenceSense can be used for monitoring and collecting event statistics, and describe challenges and open questions. |
| Starting Page | 1167 |
| Ending Page | 1174 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450322157 |
| DOI | 10.1145/2494091.2499775 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-09-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Participaroty sensing Phone sensing Community Public events |
| Content Type | Text |
| Resource Type | Article |
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