Robotics & Machine Learning Daily News2024,Issue(MAY.29) :51-52.

Reports on Robotics Findings from Johns Hopkins University Provide New Insights (Cognitive Load In Tele-robotic Surgery: a Comparison of Eye Tracker Designs)

Robotics & Machine Learning Daily News2024,Issue(MAY.29) :51-52.

Reports on Robotics Findings from Johns Hopkins University Provide New Insights (Cognitive Load In Tele-robotic Surgery: a Comparison of Eye Tracker Designs)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Robotics have been publi shed. According to news reporting out of Baltimore, Maryland, by NewsRx editors, research stated, "PurposeEye gaze tracking and pupillometry are evolving areas within the field of tele-robotic surgery, particularly in the context of estimat ing cognitive load (CL). However, this is a recent field, and current solutions for gaze and pupil tracking in robotic surgery require assessment." Financial supporters for this research include Intuitive Surgical, Intuitive Sur gical Technology Advancement Grant. Our news journalists obtained a quote from the research from Johns Hopkins Unive rsity, "Considering the necessity of stable pupillometry signals for reliable co gnitive load estimation, we compare the accuracy of three eye trackers, includin g head and console-mounted designs.MethodsWe conducted a user study with the da Vinci Research Kit (dVRK), to compare the three designs. We collected eye tracki ng and dVRK video data while participants observed nine markers distributed over the dVRK screen. We compute and analyze pupil detection stability and gaze pred iction accuracy for the three designs.ResultsHead-worn devices present better st ability and accuracy of gaze prediction and pupil detection compared to consolemounted systems."

Key words

Baltimore/Maryland/United States/Nort h and Central America/Emerging Technologies/Health and Medicine/Machine Learn ing/Robotics/Robots/Surgery/Johns Hopkins University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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