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Article

Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery

1
Instituto de las Tecnologías Avanzadas de la Producción (ITAP), University of Valladolid, 47011 Valladolid, Spain
2
Research Centre E. Piaggio, University of Pisa, 56122 Pisa, Italy
3
Department of Information Engineering, University of Pisa, 56122 Pisa, Italy
*
Author to whom correspondence should be addressed.
Received: 14 November 2017 / Revised: 10 January 2018 / Accepted: 10 January 2018 / Published: 13 January 2018
(This article belongs to the Special Issue Wearable Technologies)
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. View Full-Text
Keywords: Hand-Assisted Laparoscopic Surgery (HALS); sensing glove; wearable; collaborative surgical robot; gesture recognition Hand-Assisted Laparoscopic Surgery (HALS); sensing glove; wearable; collaborative surgical robot; gesture recognition
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MDPI and ACS Style

Santos, L.; Carbonaro, N.; Tognetti, A.; González, J.L.; De la Fuente, E.; Fraile, J.C.; Pérez-Turiel, J. Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery. Technologies 2018, 6, 8. https://0-doi-org.brum.beds.ac.uk/10.3390/technologies6010008

AMA Style

Santos L, Carbonaro N, Tognetti A, González JL, De la Fuente E, Fraile JC, Pérez-Turiel J. Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery. Technologies. 2018; 6(1):8. https://0-doi-org.brum.beds.ac.uk/10.3390/technologies6010008

Chicago/Turabian Style

Santos, Lidia, Nicola Carbonaro, Alessandro Tognetti, José L. González, Eusebio De la Fuente, Juan C. Fraile, and Javier Pérez-Turiel. 2018. "Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery" Technologies 6, no. 1: 8. https://0-doi-org.brum.beds.ac.uk/10.3390/technologies6010008

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