Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training

@article{Zhang2015RelativeHM,
  title={Relative Hidden Markov Models for Video-Based Evaluation of Motion Skills in Surgical Training},
  author={Qiang Zhang and Baoxin Li},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2015},
  volume={37},
  pages={1206-1218}
}
A proper temporal model is essential to analysis tasks involving sequential data. In computer-assisted surgical training, which is the focus of this study, obtaining accurate temporal models is a key step towards automated skill-rating. Conventional learning approaches can have only limited success in this domain due to insufficient amount of data with accurate labels. We propose a novel formulation termed Relative Hidden Markov Model and develop algorithms for obtaining a solution under this… CONTINUE READING
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Video-based analysis of motion skills in simulation-based surgical training

  • Q. Zhang, L. Chen, Q. Tian, B. Li
  • IS&T/SPIE Electronic Imaging. International…
  • 2013
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