Tagging firefighter activities at the emergency scene: Summary of AAIA'15 data mining competition at Knowledge Pit

Michał Meina, Andrzej Janusz, Krzysztof Rykaczewski, Dominik ͆lęzak, Bartosz Celmer, Adam Krasuski

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Scopus citations

Abstract

In this paper, we summarize AAIA'15 data mining competition: Tagging Firefighter Activities at a Fire Scene, which was held between March 9 and July 6, 2015. We describe the scope and background of the competition. We also reveal details regarding the data set used in the competition, which was collected and tagged specifically for the purpose of this data challenge. We explain the data acquisition process which involved using a body sensor network system consisting of several inertial measurement units and a physiological data sensor. Finally, we briefly discuss submitted results with respect to their possible real-life application in our decision support system.

Original languageEnglish
Title of host publicationProceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015
EditorsMarcin Paprzycki, Leszek Maciaszek, Maria Ganzha, Leszek Maciaszek
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages367-373
Number of pages7
ISBN (Electronic)9788360810651
DOIs
StatePublished - 2015
Externally publishedYes
EventFederated Conference on Computer Science and Information Systems, FedCSIS 2015 - Lodz, Poland
Duration: Sep 13 2015Sep 16 2015

Publication series

NameProceedings of the 2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015

Conference

ConferenceFederated Conference on Computer Science and Information Systems, FedCSIS 2015
Country/TerritoryPoland
CityLodz
Period09/13/1509/16/15

Fingerprint

Dive into the research topics of 'Tagging firefighter activities at the emergency scene: Summary of AAIA'15 data mining competition at Knowledge Pit'. Together they form a unique fingerprint.

Cite this