BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20210314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20211107T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210331T150000
DTEND;TZID=America/New_York:20210331T160000
DTSTAMP:20260407T002152
CREATED:20210328T234508Z
LAST-MODIFIED:20210328T234508Z
UID:4662-1617202800-1617206400@seasevents.nmsdev7.com
SUMMARY:Spring 2021 GRASP SFI: “Optimizing Orthoses: Challenges in predicting human performance”
DESCRIPTION:Abstract: Innovations in hardware and control have created a new class of orthoses or exoskeletons to augment and assist human movement. These designs enable forces and torques to be applied to nearly any segment of the body. However\, predicting how an individual will adapt their movement in response to external assistance remains incredibly challenging. These predictions are challenging for unimpaired individuals\, let alone for individuals after neurologic injury\, such as in cerebral palsy or stroke. Even for a “simple” case such as single degree-of-freedom ankle foot orthoses\, we often fail to predict how a given device will alter or improve an individual’s movement. In this seminar\, we will discuss these challenges as well as new methods that may assist in optimizing orthoses after neurologic injury. In particular\, I will discuss how machine learning can help us to learn from past prescriptions\, while also using musculoskeletal modeling\, muscle synergy analysis\, and ultrasound imaging to quantify neuromuscular adaptations and inform orthotic design. \nClick here to join the Zoom meeting
URL:https://seasevents.nmsdev7.com/event/spring-2021-grasp-sfi-optimizing-orthoses-challenges-in-predicting-human-performance/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
END:VCALENDAR