Laparoscopic Suture Gestures Recognition via Machine Learning: A Method for Validation of Kinematic Features Selection

Laparoscopic Suture Gestures Recognition via Machine Learning: A Method for Validation of Kinematic Features Selection

In minimally invasive surgery, robotics integration has been crucial, with a current focus on developing collaborative algorithms to reduce surgeons’ workload. Effective human-robot collaboration requires robots to perceive surgeons’ gestures during interventions for appropriat...

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Bibliographic Details
Main Authors: Juan M. Herrera-Lopez, Alvaro Galan-Cuenca, Antonio J. Reina, Isabel Garcia-Morales, Victor F. Munoz
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Feature selection
hidden Markov models
laparoscopic suturing
neural networks
surgical gestures recognition
surgical robotics
Online Access:https://ieeexplore.ieee.org/document/10799090/
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