Using Real-Time Smoothness Metrics to Deliver Haptic Performance Cues for a Dexterous Task

dc.contributor.advisorO'Malley, Marcia K
dc.creatorJantscher, William H.
dc.date.accessioned2019-05-17T14:44:04Z
dc.date.available2019-05-17T14:44:04Z
dc.date.created2018-05
dc.date.issued2018-04-17
dc.date.submittedMay 2018
dc.date.updated2019-05-17T14:44:05Z
dc.description.abstractSurgeons representing a number of domains, including endovascular surgery, have expressed a desire for objective performance measures and feedback mechanisms as a means to improve training and assessment of skill. Metrics that quantify smoothness of tool movements have recently been shown to exhibit strong correlations with endovascular surgical skill. This thesis explores the applicability and implementation of two of these smoothness metrics as a method for providing real-time performance feedback via a haptic interface. The algorithms for spectral arc length and submovement count are modi ed for near real-time computation. They are then mapped to vibrotactile cues to serve as a feedback when subjects complete a dexterous, mirror tracing task. This task is developed and veri ed as a suitable proxy task for endovascular surgery and serves as a platform to test performance assessment and feedback based on movement smoothness analysis. Submovement count is shown to have limited viability as it is constrained by its computationally expensive nature. However, spectral arc length based feedback is shown to have a substantial positive e ect on performance in terms of both accuracy and completion time.
dc.format.mimetypeapplication/pdf
dc.identifier.citationJantscher, William H.. "Using Real-Time Smoothness Metrics to Deliver Haptic Performance Cues for a Dexterous Task." (2018) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/105708">https://hdl.handle.net/1911/105708</a>.
dc.identifier.urihttps://hdl.handle.net/1911/105708
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectHaptic
dc.subjectSmoothness
dc.subjectMirror Tracing
dc.subjectReal-Time
dc.subjectMotion
dc.subjectMetric
dc.titleUsing Real-Time Smoothness Metrics to Deliver Haptic Performance Cues for a Dexterous Task
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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