Unger Michael, Black David, Fischer Nele M, Neumuth Thomas, Glaser Bernhard
Innovation Center Computer Assisted Surgery, University of Leipzig, Leipzig, Germany.
Medical Image Computing, Jacobs University, Fraunhofer MEVIS, University of Bremen, Bremen, Germany.
Int J Med Robot. 2019 Feb;15(1):e1954. doi: 10.1002/rcs.1954. Epub 2018 Sep 4.
The availability of an increasing number of medical devices in the digital operating room has led to increased interaction demands of the surgical staff. To counteract the risk of bacterial contamination induced by device interactions, touchless interaction techniques are required. Support systems based on eye tracking enable interaction while maintaining sterility and freeing the hands to manipulate surgical instruments.
A system using eye tracking glasses was developed. In an evaluation, participants completed tasks using gaze gestures. Three use cases were evaluated in an intraoperative setup. System performance, user acceptance, and workload were measured.
The system was evaluated in a laboratory environment with 26 participants. The precision of the gaze gesture recognition is 97.9%, and the true positive rate is 98.5%. The participants rated the system useful and were satisfied.
Touchless interaction ensures sterility, although the increasing availability of medical devices in the operating room.
数字手术室中越来越多的医疗设备导致手术人员的交互需求增加。为了应对设备交互引起的细菌污染风险，需要非接触式交互技术。基于眼动追踪的支持系统能够在保持无菌的同时实现交互，并使双手得以解放来操作手术器械。
开发了一种使用眼动追踪眼镜的系统。在一次评估中，参与者使用注视手势完成任务。在术中设置中评估了三个用例。测量了系统性能、用户接受度和工作量。
该系统在实验室环境中对26名参与者进行了评估。注视手势识别的精度为97.9%，真阳性率为98.5%。参与者认为该系统有用且感到满意。
尽管手术室中的医疗设备越来越多，但非接触式交互可确保无菌。
