This paper focuses on the recognition and classification of Activities of Daily Living (ADLs) that are carried out in a kitchen. To do this, a Recurrent Neural Network architecture of the Long-Short Term Memory (LSTM) type is implemented as a classifier. The ARAS dataset is used for training and evaluation. A classifier is obtained with an average value in the F1 metric of 95.33% for the chosen data set.
Tipo de publicación: Conference Paper
Publicado en: 2021 IEEE V Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI)
Autores- Gutierrez, Ismael
- Naranjo, Diego
- Tretta, Isaac
- Valverde, Luis
- Vargas, Juan Jose
- Barrantes, Gabriela
- Quesada, Luis
- Lara, Adrian
Investigadores del CITIC asociados a la publicación
Juan José Vargas Morales
Dra. E. Gabriela Barrantes Sliesarieva
Dr. Luis Quesada Quirós
Dr. Adrian Lara Petitdemange
