7 March 2013 Video-based analysis of motion skills in simulation-based surgical training
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Abstract
Analysis ofmotionexpertiseisanimportantprobleminmanydomainsincludingsportsandsurgery.Inrecent years,surgicalsimulationhasemergedattheforefrontofnewtechnologiesforimprovingtheeducationand training ofsurgicalresidents.Insimulation-basedsurgicaltraining,akeytaskistoratetheperformanceofthe operators,whichisdonecurrentlybyseniorsurgeons.Thispaperintroducesanovelsolutiontothisproblem through employingvision-basedtechniques.Wedevelopanautomatic,video-basedapproachtoanalyzingthe motion skillsofasurgeoninsimulation-basedsurgicaltraining,whereasurgicalactioniscapturedbymultiple video cameraswithlittleornocalibration,resultinginmultiplevideostreamsofheterogeneousproperties. Typicalmultiple-viewvisiontechniquesareinadequateforprocessingsuchdata.Weproposeanovelapproach that employsbothcanonicalcorrelationanalysis(CCA)andthebag-of-wordsmodeltoclassifytheexpertise levelofthesubjectbasedontheheterogeneousvideostreamscapturingboththemotionofthesubject'shands and theresultantmotionofthetools.Experimentsweredesignedandperformedtovalidatetheproposed approachusingrealisticdatacapturedfromresidentsurgeonsinlocalhospitals.Theresultssuggestthatthe proposedapproachmayprovideapromisingpracticalsolutiontotherealworldproblemevaluatingmotionskills in simulation-basedsurgicaltraining.
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Qiang Zhang, Qiang Zhang, Lin Chen, Lin Chen, Qiongjie Tian, Qiongjie Tian, Baoxin Li, Baoxin Li, "Video-based analysis of motion skills in simulation-based surgical training", Proc. SPIE 8667, Multimedia Content and Mobile Devices, 86670A (7 March 2013); doi: 10.1117/12.2005177; https://doi.org/10.1117/12.2005177
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