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Universidad de la Costa, CUC. Calle 58 # 55 - 66. Barranquilla, Colombia. 336 22 00. repositorioredicuc@cuc.edu.co. Corporación Universidad de la Costa.

Improving the quality of user generated data sets for activity recognition

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Improving the quality of user generated data sets (270.2Kb)
Date
2016
Author
Nugent, Chris D.
Synnott, Jonathan
Gabrielli, Celeste
Zhang, Shuai
Espinilla, Macarena
Calzada, Alberto
Lundström, Jens
Cleland, Ian
Synnes, Kåre
Hallberg, Josef
Spinsante, Susanna
Ortiz Barrios, Miguel Angel
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URI: http://hdl.handle.net/11323/1387
Citar con DOI: 10.1007/978-3-319-48799-1_13

Abstract

It is fully appreciated that progress in the development of data driven approaches to activity recognition are being hampered due to the lack of large scale, high quality, annotated data sets. In an effort to address this the Open Data Initiative (ODI) was conceived as a potential solution for the creation of shared resources for the collection and sharing of open data sets. As part of this process, an analysis was undertaken of datasets collected using a smart environment simulation tool. A noticeable difference was found in the first 1–2 cycles of users generating data. Further analysis demonstrated the effects that this had on the development of activity recognition models with a decrease of performance for both support vector machine and decision tree based classifiers. The outcome of the study has led to the production of a strategy to ensure an initial training phase is considered prior to full scale collection of the data.
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Universidad de la Costa, CUC

  • Calle 58 # 55 - 66. Barranquilla, Colombia

  • 336 22 00

  • repositorioredicuc@cuc.edu.co

Corporación Universidad de la Costa CUC, Personería Jurídica con Resolución No. 352 del 23 de abril de 1971 y reconocida como Universidad mediante resolución 3235 del 28 de marzo de 2012 expedida por el MEN. Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional.

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  • Recuperador Primo

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