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Search results for: TSFresh
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paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Task Evoked Pupillary Response for Surgical Task Difficulty Prediction via Multitask Learning </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Beilei%20Xu">Beilei Xu</a>, <a href="https://publications.waset.org/abstracts/search?q=Wencheng%20Wu"> Wencheng Wu</a>, <a href="https://publications.waset.org/abstracts/search?q=Lei%20Lin"> Lei Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachel%20Melnyk"> Rachel Melnyk</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Ghazi"> Ahmed Ghazi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In operating rooms, excessive cognitive stress can impede the performance of a surgeon, while low engagement can lead to unavoidable mistakes due to complacency. As a consequence, there is a strong desire in the surgical community to be able to monitor and quantify the cognitive stress of a surgeon while performing surgical procedures. Quantitative cognitiveload-based feedback can also provide valuable insights during surgical training to optimize training efficiency and effectiveness. Various physiological measures have been evaluated for quantifying cognitive stress for different mental challenges. In this paper, we present a study using the cognitive stress measured by the task evoked pupillary response extracted from the time series eye-tracking measurements to predict task difficulties in a virtual reality based robotic surgery training environment. In particular, we proposed a differential-task-difficulty scale, utilized a comprehensive feature extraction approach, and implemented a multitask learning framework and compared the regression accuracy between the conventional single-task-based and three multitask approaches across subjects. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=surgical%20metric" title="surgical metric">surgical metric</a>, <a href="https://publications.waset.org/abstracts/search?q=task%20evoked%20pupillary%20response" title=" task evoked pupillary response"> task evoked pupillary response</a>, <a href="https://publications.waset.org/abstracts/search?q=multitask%20learning" title=" multitask learning"> multitask learning</a>, <a href="https://publications.waset.org/abstracts/search?q=TSFresh" title=" TSFresh"> TSFresh</a> </p> <a href="https://publications.waset.org/abstracts/128967/task-evoked-pupillary-response-for-surgical-task-difficulty-prediction-via-multitask-learning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128967.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">146</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> 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