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    Chapter and Conference Paper

    Understanding and Transfer of Human Skills in Robotics Using Deep Learning and Musculoskeletal Modeling

    With the application of deep learning, prosthetic rehabilitation can be carried out in a manner that not only emulates human manipulation skills and performance, but can also work more efficiently. In this st...

    Dipti Chaudhari, Kunj Bhagat, Emel Demircan in Proceedings of the 2018 International Symp… (2020)

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    Chapter and Conference Paper

    Efficacy of Cardiovascular Activity in Stroke Rehabilitation Therapy

    We aim to optimize post-stroke motor control rehabilitation therapy via integration of cardiovascular activity. Although stroke therapy ranges from months to years for some stroke patients, the majority of neu...

    Javier Rodriguez, Emel Demircan in Converging Clinical and Engineering Resear… (2017)

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    Chapter and Conference Paper

    Constraint-Consistent Analysis of Muscle Force Contributions to Human Gait

    The goal of this study is to apply a task-space approach to characterize muscle force contributions to the body center of mass during human gait taking into account the contacts with the environment and the co...

    Emel Demircan, Oussama Khatib in Latest Advances in Robot Kinematics (2012)

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    Chapter and Conference Paper

    Human Motion Reconstruction and Synthesis of Human Skills

    Reconstructing human motion dynamics in real-time is a challenging problem since it requires accurate motion sensing, subject specific models, and efficient reconstruction algorithms. A promising approach is t...

    Emel Demircan, Thor Besier, Samir Menon in Advances in Robot Kinematics: Motion in Ma… (2010)