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Utilizing the Leap Motion Controller for skill tracking in surgical training: solving line-of-sight issues.

V E E Kleinrensink1,2, R H M Goossens3, J F Lange4

  • 1Department of Neuroscience, Erasmus University Medical Center, the Netherlands.

Surgery Open Science
|August 5, 2025
PubMed
Summary

This study introduces a novel interface for the Leap Motion Controller (LMC) to improve minimally invasive surgery (MIS) training. The system overcomes line-of-sight issues, enhancing instrument tracking for more effective surgical skill development.

Keywords:
Cost-effective surgical trainingHaptic feedbackInstrument trackingLaparoscopic trainingLeap motion controllerMedical simulationSurgical educationSurgical skill learning

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Area of Science:

  • Surgical Education Technology
  • Medical Simulation
  • Human-Computer Interaction

Background:

  • Minimally invasive surgery (MIS) demands complex skills, necessitating effective training methods.
  • Current training tools often face limitations in combining precise instrument tracking with realistic practice scenarios due to cost and setup complexity.
  • The Leap Motion Controller (LMC) offers precise motion tracking but has been hindered by line-of-sight issues in previous surgical training applications.

Purpose of the Study:

  • To develop and evaluate a novel interface for the Leap Motion Controller (LMC) to overcome line-of-sight limitations in minimally invasive surgery (MIS) instrument tracking.
  • To assess the efficacy of this new setup in improving surgical training metrics.

Main Methods:

  • A new interface was designed for the LMC, utilizing a single vertical barrier to conceal the task while maintaining the LMC's clear horizontal view of the surgical instrument.
  • Performance was evaluated using metrics such as time to task completion and total instrument path length.
  • Twenty-eight medical students completed 40 trials each using the developed system.

Main Results:

  • The LMC system effectively resolved line-of-sight issues, providing precise instrument tracking.
  • Significant improvements were observed in participants' performance, with task completion time decreasing from 61s to 19s and path length from 2390mm to 574mm.
  • Performance metrics plateaued after approximately 20 trials, indicating a learning curve and skill acquisition.

Conclusions:

  • The developed LMC interface successfully enables precise tracking of surgical instruments, overcoming prior limitations.
  • This affordable and simple setup facilitates real-time monitoring, continuous movement tracking, and tactile interaction, making it suitable for diverse MIS training environments.
  • The system presents a promising solution for both traditional and home-based MIS training, particularly in resource-limited settings.