Improving the quality of user generated data sets for activity recognition

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 c...

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Autores:
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
Tipo de recurso:
Article of journal
Fecha de publicación:
2016
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/1387
Acceso en línea:
http://hdl.handle.net/11323/1387
https://repositorio.cuc.edu.co/
Palabra clave:
Activity recognition
Data driven classification
Data validation
Open data sets
Rights
openAccess
License
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