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BEGIN:VEVENT
DTSTAMP:20250103T100449
DTSTART;TZID=America/Detroit:20250109T140000
DTEND;TZID=America/Detroit:20250109T160000
SUMMARY:Presentation:Understanding Motor Control for Assistive Technologies: From Biomechanics to Brain-Machine Interfaces
DESCRIPTION:Co-chairs: Cynthia Chestek and Chandramouli Krishnan\n\nAbstract:\nMillions of people in the world suffer from disorders that affect their motor control\, including conditions like spinal cord injuries\, strokes\, and neurodegenerative diseases. These impairments can drastically reduce their mobility and independence\, creating a need for advanced assistive technologies. This defense addresses these challenges by exploring how humans move and learn new motor skills\, and how these insights may inform better assistive technologies\, especially through brain-machine interfaces.\n\nWe first focus on the biomechanics of the ankle joint\, studying the reliability of its stiffness\, viscosity\, and inertia while standing and walking. The results show that stiffness and viscosity can be reliably estimated and may be valuable as a clinical metric as well as a goal for biomimetic prosthetic control. \n\nThen\, we show the development of a new open-source web application for motor learning experiment design and show its validation for replicating previous studies\, as well as for investigating how motor learning is transferred between limbs. Our results show that even short periods of rest can greatly improve motor skill learning as well as the existence of interlimb transfer learning.\n\nFinally\, we apply these insights in the context of brain-machine interfaces\, assistive devices that have helped restore motor and speech control by decoding signals from the brain. We evaluate the trade-offs of using an interpretable algorithmic approach that combined a principled approach with deep-learning for decoding finger movements from brain data. We found that explainability may not need to be sacrificed for good performance\, and that an interpretable algorithm can provide insights into motor control as well as future avenues for model improvement. \n\nOverall\, by integrating these distinct but related areas\, this defense contributes to a comprehensive understanding of human motor control and how to improve it. Together\, these contributions provide a foundation for assistive technologies that can restore mobility\, enhance independence\, and improve quality of life for individuals living with motor impairments.\n\nFRB 2300 and on Zoom: https://umich.zoom.us/j/96288303600
UID:130389-21865939@events.umich.edu
URL:https://events.umich.edu/event/130389
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Engineering,Michigan Engineering,Michigan Robotics,Robotics
LOCATION:Ford Robotics Building - 2300
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250102T133632
DTSTART;TZID=America/Detroit:20250109T140000
DTEND;TZID=America/Detroit:20250109T160000
SUMMARY:Social / Informal Gathering:Winter Open House
DESCRIPTION:Welcome to a new semester! The start of the term is always hectic\, and you've earned a break. Join your advisors in the LSA Newnan Advising Center for some snacks\, swag\, and on the spot advising!
UID:130374-21865923@events.umich.edu
URL:https://events.umich.edu/event/130374
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Advising,All Majors Welcome,Free Food,Newnan,Newnan Lsa Academic Advising Center,Open To All Majors,Social,Transfer Students,Walk In Advising
LOCATION:Angell Hall
CONTACT:
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