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 27-dic-2024