RT info:eu-repo/semantics/article T1 Dynamic gesture recognition using a smart glove in hand-assisted laparoscopic surgery A1 Santos, Lidia A1 Carbonaro, Nicola A1 Tognetti, Alessandro A1 González Sánchez, José Luis A1 Fuente López, Eusebio de la A1 Fraile Marinero, Juan Carlos A1 Pérez Turiel, Javier K1 Hand-Assisted Laparoscopic Surgery (HALS) K1 Sensing glove K1 Collaborative surgical robot K1 Gesture recognition K1 33 Ciencias Tecnológicas K1 32 Ciencias Médicas AB This paper presents a methodology for movement recognition in hand-assisted laparoscopic surgery using a textile-based sensing glove. The aim is to recognize the commands given by the surgeon’s hand inside the patient’s abdominal cavity in order to guide a collaborative robot. The glove, which incorporates piezoresistive sensors, continuously captures the degree of flexion of the surgeon’s fingers. These data are analyzed throughout the surgical operation using an algorithm that detects and recognizes some defined movements as commands for the collaborative robot. However, hand movement recognition is not an easy task, because of the high variability in the motion patterns of different people and situations. The data detected by the sensing glove are analyzed using the following methodology. First, the patterns of the different selected movements are defined. Then, the parameters of the movements for each person are extracted. The parameters concerning bending speed and execution time of the movements are modeled in a prephase, in which all of the necessary information is extracted for subsequent detection during the execution of the motion. The results obtained with 10 different volunteers show a high degree of precision and recall. PB MDPI YR 2018 FD 2018 LK https://uvadoc.uva.es/handle/10324/56663 UL https://uvadoc.uva.es/handle/10324/56663 LA eng NO Technologies, 2018, vol. 6, n. 1, p. 8 NO Producción Científica DS UVaDOC RD 29-mar-2024