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<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class="">Our next Mobilize Center Seminar is scheduled for Thursday,<font color="#ff2600" class=""> October 19th</font>, and features the Mobilize Centers Distinguished Postdoctoral Scholar <b class=""><span id="docs-internal-guid-f7440fed-7bdd-8053-fe0a-f6e47f3123d2" class=""><span style="font-style: italic; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Łukasz
Kidziński</span></span></b>. He will be presenting “<b style="white-space: pre-wrap;" class="">Collecting, modelling and predicting human body kinematics in the age of machine learning</b>”.<o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""> </font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><span class=""><font class="">The Mobilize Center seminars are held once a month. Please check <a href="http://mobilize.stanford.edu/events/" class="">Mobilize Events</a> for updates.</font></span></font></div>
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<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class="">We look forward to seeing you in October and at future seminars!<o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class="">TITLE:</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><b style="font-family: Arial; white-space: pre-wrap;" class="">Collecting, modelling and predicting human body kinematics in the age of machine learning</b></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class=""> </b></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class="">WHEN:</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class="">Thursday, October 19 </b><o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class="">noon - 1 pm</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class="">WHERE:</b> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class=""><span style="color: rgb(251, 2, 7);" class="">Y2E2 300, Stanford University </span></b><o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""> <o:p class=""></o:p></font></div>
<div style="margin: 0in 0in 0.0001pt;" class=""><font face="Arial" class=""><b class="">Abstract:</b><o:p class=""></o:p></font></div>
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<div style="margin: 0in 0in 0.0001pt;" class=""><span id="docs-internal-guid-f7440fed-7bdf-7be7-2684-d6e764e0a434" class=""><span style="font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">Recent
achievements in machine learning are subverting foundations of many research disciplines. In this presentation, I will show how these developments affect collection, modelling and prediction of human gait kinematics, enabling unprecedented scale of research
and applications. I will focus on our novel technique for predicting progression trajectories of pathologic gait kinematics from sparse observations, using matrix completion techniques. I will present how we can collect these kinematic data with equipment
100x cheaper than usual and how we model kinematics using reinforcement learning, leveraging large computational resources and domain knowledge embedded in simulation softwar</span><span style="font-family: Arial; font-variant-ligatures: normal; font-variant-east-asian: normal; font-variant-position: normal; vertical-align: baseline; white-space: pre-wrap;" class="">e.</span></span></div>
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<div style="margin: 0in 0in 0.0001pt;" class=""><font class="" style="font-family: Arial;">To keep up-to-date on upcoming speakers and the dates, visit </font><a href="http://mobilize.stanford.edu/events/" class="" style="font-family: Arial;">Mobilize Events</a><font class="" style="font-family: Arial;">.</font></div>
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<div class=""><font face="Arial" class="">Diane Bush<br class="">
Assistant to Professor Scott Delp<br class="">
NMBL, Mobilize Center, OpenSim<br class="">
Stanford University<br class="">
<a href="mailto:dbush1@stanford.edu" class="">dbush1@stanford.edu</a><br class="">
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