RT Journal Article
T1 A Gesture Recognition Algorithm for Hand-Assisted Laparoscopic Surgery
A1 López Casado, Carmen
A1 Bauzano-Núñez, Enrique
A1 Rivas-Blanco, Irene
A1 Pérez-del-Pulgar-Mancebo, Carlos Jesús
A1 Muñoz-Martínez, Víctor Fernando
K1 Cirugía
K1 Robótica
AB Minimally invasive surgery (MIS) techniques are growing in quantity and complexity to cover a wider range of interventions. More specifically, hand-assisted laparoscopic surgery (HALS) involves the use of one surgeon’s hand inside the patient whereas the other one manages a single laparoscopic tool. In this scenario, those surgical procedures performed with an additional tool require the aid of an assistant. Furthermore, in the case of a human–robot assistant pairing a fluid communication is mandatory. This human–machine interaction must combine both explicit orders and implicit information from the surgical gestures. In this context, this paper focuses on the development of a hand gesture recognition system for HALS. The recognition is based on a hidden Markov model (HMM) algorithm with an improved automated training step, which can also learn during the online surgical procedure by means of a reinforcement learning process.
PB MDPI
YR 2019
FD 2019
LK https://hdl.handle.net/10630/33541
UL https://hdl.handle.net/10630/33541
LA eng
NO Lopez-Casado M.C.; Bauzano E.; Rivas-Blanco I.; Perez-del- Pulgar C.J.; Muñoz-Martinez V.F. A Gesture Recognition Algorithm for Hand-Assisted Laparoscopic Surgery. MDPI Sensors 2019, 19(23), 5182. December 2019. https://doi.org/10.3390/s19235182
NO DPI2016-80391-R
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026