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    Automatic Detection and Segmentation of Robot-Assisted Surgical Motions

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    Date
    2007
    Author
    Lin, Henry C.
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    Abstract
    Robotic surgical systems such as Intuitive Surgical's da Vinci system provide a rich source of motion and video data from surgical procedures. In principle, this data can be used to evaluate surgical skill, provide surgical training feedback, or document essential aspects of a procedure. If processed online, the data can be used to provide context-specific information or motion enhancements to the surgeon. However, in every case, the key step is to relate recorded motion data to a model of the procedure being performed. This paper examines our progress at developing techniques for "parsing" raw motion data from a surgical task into a labelled sequence of surgical gestures. Our current techniques have achieved >90% fully automated recognition rates on 15 datasets.
    URI
    http://hdl.handle.net/11141/3276
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    • Link Foundation Modeling, Simulation and Training Fellowship Reports

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