Complementing real datasets with simulated data: a regression-based approach
Activity recognition in smart environments is essential for ensuring the wellbeing of older residents. By tracking activities of daily living (ADLs), a person’s health status can be monitored over time. Nonetheless, accurate activity classification must overcome the fact that each person performs AD...
- Autores:
-
Ortiz Barrios, Miguel Angel
Lundstrom, J.
Synnott, J.
Jarpe, E.
Sant’Anna, A.
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7767
- Acceso en línea:
- https://hdl.handle.net/11323/7767
https://doi.org/10.1007/s11042-019-08368-5
https://repositorio.cuc.edu.co/
- Palabra clave:
- Activity recognition
Activity duration
Regression analysis
Non-linear models
Determination coefficient
Quantile-quantile plots
- Rights
- openAccess
- License
- CC0 1.0 Universal