Human activity recognition: using wearable sensors and smartphones
- 1a. ed.
- 187 páginas ; 24 cm.
Bibliografía: p
State 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