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Proceedings 2017, 1(4), 599;

Laparoscopy’s Gestures Assessment: A Construct Study for the Validation of an Instrumented Glove

Institut Supérieur d’Ingénieurs de Franche-Comté, 25000 Besançon, France
GIBIC, Bioengineering Department, University of Antioquia, Medellín, Colombia
LAAS-CNRS, Université de Toulouse, CNRS, 31000 Toulouse, France
Presented at the Eurosensors 2017 Conference, Paris, France, 3–6 September 2017.
Author to whom correspondence should be addressed.
Published: 11 August 2017
(This article belongs to the Proceedings of Eurosensors 2017)
PDF [636 KB, uploaded 5 September 2017]


The GIBIC research team, from UdeA, and S4M from LAAS-CNRS, designed a glove with inertial sensors (IMU) for quantifying surgeons’ dexterity. A previous study validated its capacity to accurately rank participants, compared to a video evaluation, during neurosurgery training. The objective of this work is to check this validity for laparoscopic surgery, compared with a “gold-standard” simulator, the LapSim (Surgical Science®). For this purpose, the inertial basic data of the sensors were processed into quantified score comparable with the LapSim scores. A trial was designed and conducted during one month with nine students training on specific LapSim tasks.
Keywords: Instrumented Glove; IMU sensor; laparoscopy; training Instrumented Glove; IMU sensor; laparoscopy; training
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Thomas, G.; Lemos, J.D.; Soto-Romero, G.; Fourniols, J.-Y.; Hernández, A.M. Laparoscopy’s Gestures Assessment: A Construct Study for the Validation of an Instrumented Glove. Proceedings 2017, 1, 599.

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