| 000 | 00949nam a2200265Ia 4500 | ||
|---|---|---|---|
| 001 | 16759 | ||
| 008 | 170307s spa d | ||
| 020 | _a9781466588271 | ||
| 082 | 0 | 4 |
_a006.42 _bL1148h 2014 |
| 100 | 1 | _aLabrador, Miguel | |
| 245 | 1 | 0 | _aHuman activity recognition: using wearable sensors and smartphones |
| 250 | _a1a. ed. | ||
| 264 | 1 |
_aBoca Ratón, USA: _bTaylor & Francis group, 2014 |
|
| 300 | _a187 páginas ; 24 cm. | ||
| 336 | _atxt | ||
| 337 | _an | ||
| 338 | _anc | ||
| 504 | _aBibliografía: p | ||
| 505 | 0 | _aState of the art in har systems, incorporating physiological signals to improve activity recognition accuracy, anabling real-time activity recognition, new fusion and selection strategies in multiple classifier systems | |
| 526 | _aIngeniería en Tecnologías de la información | ||
| 526 | _aIngeniería | ||
| 590 | _aKI | ||
| 650 | 0 | 4 | _aSISTEMAS |
| 999 |
_c275305 _d275305 |
||
| 942 | 0 | 0 | _00 |