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Found 6 papers, 2 papers with code
SFGANS Self-supervised Future Generator for human ActioN Segmentation
The ability to locate and classify action segments in long untrimmed video is of particular interest to many applications such as autonomous cars, robotics and healthcare applications.
Kinematic Data-Based Action Segmentation for Surgical Applications
Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors.
Using Hand Pose Estimation To Automate Open Surgery Training Feedback
Conclusion: This research demonstrates the benefit of pose estimations for open surgery by analyzing their effectiveness in gesture segmentation and skill assessment.
Bounded Future MS-TCN++ for surgical gesture recognition
Our goal in this study was to learn the performance-delay trade-off and design an MS-TCN++-based algorithm that can utilize this trade-off.
Open surgery tool classification and hand utilization using a multi-camera system
A Top-view and a Close-up cameras were used.
Video-based fully automatic assessment of open surgery suturing skills
The YOLO network has been modified to a multi-task network, for the purpose of tool localization and tool-hand interaction detection.
