The understanding of surgical gesture, by means of measuring apparatus, can play a key role for a possible evaluation of the surgical performance and the human factors characterizing it. To this aim a neural network classification algorithm can be helpful, since combines good generalization performances along with a parsimonious architecture when dealing with high dimensional classification problems. So, here it is presented and proposed the development of an innovation in surgical training system, as a fundamental objective support for training of novice surgeons.
Gesture recognition and classification for surgical skill assessment / Saggio, Giovanni; Santosuosso, Giovanni Luca; Cavallo, P; Pinto, Ca; Petrella, M; Giannini, Franco; Di Lorenzo, Nicola; Lazzaro, A; Corona, A; D’Auria, F; Iezzi, L; Gaspari, Achille. - (2011). ( The 6th IEEE International Symposium on Medical Measurements and Applications (MeMeA 2011) Bari, Italy ) [10.1109/MeMeA.2011.5966681].
Gesture recognition and classification for surgical skill assessment
DI LORENZO, NICOLA;
2011
Abstract
The understanding of surgical gesture, by means of measuring apparatus, can play a key role for a possible evaluation of the surgical performance and the human factors characterizing it. To this aim a neural network classification algorithm can be helpful, since combines good generalization performances along with a parsimonious architecture when dealing with high dimensional classification problems. So, here it is presented and proposed the development of an innovation in surgical training system, as a fundamental objective support for training of novice surgeons.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
