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  <title><![CDATA[Phd Proposal by M Wu]]></title>
  <body><![CDATA[<p>M Wu</p>

<p>BME PhD Proposal Presentation<br />
<br />
<strong>Date</strong>: 2023-03-09<br />
<strong>Time</strong>: 10:00 am</p>

<p><strong>Location / Meeting Link</strong>: Health Sciences Research Building, E382; <a href="https://emory.zoom.us/j/95029745884">https://emory.zoom.us/j/95029745884</a>&nbsp;</p>

<p>&nbsp;</p>

<p><br />
<strong>Committee Members:</strong><br />
Lena Ting, PhD (Advisor); Jun Ueda, PhD; Gregory Sawicki, PhD; Madeleine Hackney, PhD; Trisha Kesar, PhD<br />
<br />
<br />
<strong>Title</strong>: Low-force hand interactions to alter human walking<br />
<br />
<strong>Abstract:</strong><br />
The motivation for this research is to develop intuitive low-force human-robot hand interaction controllers to alter how people walk. Such controllers have potential applications for assistive technology and physical rehabilitation, human-robot collaborative manufacturing, physical education, and recreation. This work is inspired by low-force hand interactions between humans that alter gait without explicit instructions or training. While concepts from human-human interactions can inspire human-robot interactions, the control strategies for modifying gait in human partners are not well understood and have yet to be tested in the context of hand-contact robotic devices. My central hypothesis is that low-force hand interactions in human-human and human-robot pairs alter gait intuitively without relying solely on mechanical effects. In Aim 1, I demonstrate that an expert partner dancer can use hand interactions to alter a novice&rsquo;s step frequency and characterize the control strategies used. In Aim 2, I develop and validate a novel, high-fidelity emulator robot to enable testing of a variety of hand interaction controllers during gait, especially controllers based on human-human interactions. In Aim 3, I develop a novel robotic controller to alter the user&rsquo;s gait and implement an admittance controller to follow the user&rsquo;s intended gait, and compare effects of the controllers on walking using the emulator robot. I will analyze data on full-body kinematics, hand kinetics, and human sensorimotor ability and subjective perceptions to characterize changes to gait and the control strategies that result in these changes.</p>

<p>&nbsp;</p>
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