| Department | Computer Science and Information Technologies |
| Knowledgment area | Computer Languages and Systems |
| Research | Research group Laboratorio de Bases de Datos |
| Research lines | Machine learning, deep learning, human activity recognition. |
| Keywords | Machine learning, deep learning, human activity recognition. |
| Contacto | UDC directory |
| Orcid id0000-0003-0686-3168 Scopus57216427890 | |
This section shows the teaching given in degrees, masters and other officers studies in last 6 years.
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
| Databases | Compulsory | 0 | 60 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Databases
Degree in Computer Engineering
|
Compulsory | 0 | 60 |
| Subject and involved studies | Type | Distance hours | Total hours |
|---|---|---|---|
|
Databases
Degree in Computer Engineering
|
Compulsory | 0 | 60 |
No available EOG works or final master thesis directed by current teacher since 2013 year.
Select merit type and year to query research merits.
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors
| Authors | Daniel Garcia-Gonzalez, Daniel Rivero Cebrián, Enrique Fernandez-Blanco, Miguel R. Luaces |
| Journal | Sensors Vol. 20 Num. 8 (pages 1 to 14) |
| DOI | https://doi.org/10.3390/s20082200 |