Wachs Juan P, Stern Helman I, Edan Yael, Gillam Michael, Handler Jon, Feied Craig, Smith Mark
Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Be'er-Sheva, Israel, 84105.
J Am Med Inform Assoc. 2008 May-Jun;15(3):321-3. doi: 10.1197/jamia.M241.
The use of doctor-computer interaction devices in the operation room (OR) requires new modalities that support medical imaging manipulation while allowing doctors' hands to remain sterile, supporting their focus of attention, and providing fast response times. This paper presents "Gestix," a vision-based hand gesture capture and recognition system that interprets in real-time the user's gestures for navigation and manipulation of images in an electronic medical record (EMR) database. Navigation and other gestures are translated to commands based on their temporal trajectories, through video capture. "Gestix" was tested during a brain biopsy procedure. In the in vivo experiment, this interface prevented the surgeon's focus shift and change of location while achieving a rapid intuitive reaction and easy interaction. Data from two usability tests provide insights and implications regarding human-computer interaction based on nonverbal conversational modalities.
在手术室(OR)中使用医生与计算机交互设备需要新的模式,这种模式要支持医学成像操作,同时让医生的手保持无菌状态,支持他们的注意力集中,并提供快速响应时间。本文介绍了“Gestix”,这是一种基于视觉的手势捕捉和识别系统,可实时解释用户在电子病历(EMR)数据库中对图像进行导航和操作的手势。通过视频捕捉,导航和其他手势根据其时间轨迹被转换为命令。“Gestix”在脑活检手术过程中进行了测试。在体内实验中,该界面防止了外科医生注意力转移和位置变化,同时实现了快速直观的反应和轻松的交互。来自两项可用性测试的数据提供了基于非语言对话模式的人机交互的见解和启示。