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Relative hidden Markov models for video-based evaluation of motion skills in surgical training
Qiang Zhang,
Baoxin Li
Computing and Augmented Intelligence, School of (IAFSE-SCAI)
Religion and Conflict, Center for the Study of
Assured and Scalable Data Engineering, Center for (CASCADE)
Cognitive Ubiquitous Computing, Center for (CUbiC)
Computer Science and Engineering
Engineering, Ira A. Fulton Schools of (IAFSE)
Research output
:
Contribution to journal
›
Article
›
peer-review
29
Scopus citations
Overview
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Dive into the research topics of 'Relative hidden Markov models for video-based evaluation of motion skills in surgical training'. Together they form a unique fingerprint.
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Mathematics
Skills
100%
Markov Model
92%
Training
90%
Evaluation
62%
Motion
62%
Emotion Recognition
44%
Experiment
32%
Speech
28%
Model
28%
Formulation
27%
Synthetic Data
25%
Ranking
21%
Experimental Results
21%
Labeling
20%
Attribute
20%
Learning
19%
Likelihood
18%
Target
18%
Requirements
17%
Performance
12%
Engineering & Materials Science
Hidden Markov models
86%
Labeling
20%
Labels
18%
Experiments
15%
Medicine & Life Sciences
Psychology Recognition
25%
Emotions
22%
Learning
21%