Semi-supervised adaptive method for human activities recognition (HAR)

Using sensors and mobile devices integrated with hardware and software tools for Human Recognition Activities (HAR), is a growing scientific field, the analysis based on this information have promising benefits to detect regular and irregular behaviors in individuals during their daily activities. I...

Full description

Autores:

Mendoza Palechor, Fabio
Vicario, Enrico
PATARA, FULVIO
De la Hoz Manotas, Alexis Kevin
Molina Estren, Diego

Tipo de recurso:

Part of book

Fecha de publicación:

2022

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/9522

Acceso en línea:

https://hdl.handle.net/11323/9522
https://doi.org/10.1007/978-3-031-10539-5_1
https://repositorio.cuc.edu.co/

Palabra clave:

HAR
Data mining
Cluster
Evaluation metric
Dataset
Van Karesten

Rights

embargoedAccess

License

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG