A Dataset and Benchmarks for Segmentation and Recognition of Gestures in Robotic Surgery

Keyphrases

• Robotic Surgery 100%
• Skill Assessment 100%
• Gesture Recognition 100%
• Hidden Markov Model 66%
• Surgical Data 66%
• Shared Dataset 66%
• Surgeons 33%
• Overall Accuracy 33%
• State-of-the-art Techniques 33%
• Time Series Data 33%
• Benchmark Dataset 33%
• Evaluation Method 33%
• Automated Classification 33%
• Joint Segmentation 33%
• Feature-based 33%
• Linear Dynamical Systems 33%
• Kinematic Data 33%
• Validation Process 33%
• Spatio-temporal Features 33%
• Reporting Results 33%
• Markov 33%
• Automated Skill Assessment 33%
• Video Data 33%
• Temporal Approach 33%
• Robotic Surgical Procedures 33%
• Multiple Performance 33%
• Conditional Random Fields 33%
• Action Recognition 33%
• Recognition Method 33%
• Semi-Markov Conditional Random Fields 33%
• Data Metrics 33%
• Time Series Classification 33%
• Surgical Activity Recognition 33%
• Surgical Task 33%
• Measure Validation 33%
• Public Dataset 33%
• Automated Segmentation 33%
• Consistent Prediction 33%
• Evaluation Reporting 33%
• Joint Classification 33%

Computer Science

• Skill Assessment 100%
• Robotics 100%
• Working Set 75%
• Conditional Random Field 50%
• Data Processing 50%
• Comparative Analysis 25%
• Time Series Data 25%
• Reporting Result 25%
• Reported Result 25%
• Validation Process 25%
• Activity Recognition 25%
• Action Recognition 25%
• Analysis Report 25%
• Evaluation Methodology 25%
• Dynamical System 25%
• Cross-Validation 25%