Dexterity and procedural knowledge are two critical skills that surgeons need to master to
perform accurate and safe surgical interventions. However, current training systems do not …

Automatic surgical gesture segmentation and recognition can provide useful feedback for
surgical training in robotic surgery. Most prior work in this field relies on the robot's kinematic …

Objective: Surgical activity recognition is a fundamental step in computer-assisted
interventions. This paper reviews the state-of-the-art in methods for automatic recognition of …

Demonstration trajectories collected from a supervisor in teleoperation are widely used for
robot learning, and temporally segmenting the trajectories into shorter, less-variable …

Objective: State-of-the-art techniques for surgical data analysis report promising results for
automated skill assessment and action recognition. The contributions of many of these …

This paper reports our progress in developing techniques for “parsing” raw motion data from
a simple surgical task into a labeled sequence of surgical gestures. The ability to …

Purpose Automatically segmenting and classifying surgical activities is an important
prerequisite to providing automated, targeted assessment and feedback during surgical …

Recognition of surgical gesture is crucial for surgical skill assessment and efficient surgery
training. Prior works on this task are based on either variant graphical models such as …

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 …

Surgical gesture recognition is important for surgical data science and computer-aided
intervention. Even with robotic kinematic information, automatically segmenting surgical …