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...
- 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:
- https://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
- Atribución – No comercial – Compartir igual