Video based assessment of OSATS using sequential motion textures

Roisin McNaney, Yachna Sharma, Vinya Battadapura, Thomas Ploetz, Nils Hammerla, Sebastian Mellor, Patrick Olivier, Sandeep Deshmuhk, Adnrew McCaskie, Irfan Essa

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)


We present a fully automated framework for video based surgical skill assessment that incorporates the sequential and qualitative aspects of surgical motion in a data-driven manner. We replicate Objective Structured Assessment of Technical Skills (OSATS) assessments, which provides both an overall and in-detail evaluation of basic suturing skills required for surgeons. Video analysis techniques are introduced that incorporate sequential motion aspects into motion textures. We also demonstrate significant performance improvements over standard bag-of-words and motion analysis approaches. We evaluate our framework in a case study that involved medical students with varying levels of expertise performing basic surgical tasks in a surgical training lab setting.
Original languageEnglish
Title of host publicationFifth Workshop on Modeling and Monitoring of Computer Assisted Interventions
Publication statusPublished - 2014

Structured keywords

  • Digital Health


  • Digital Health


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