Date/Time
Date(s) - September 23, 2022
11:45 am - 12:35 pm

Location
Weil Hall 406

Categories No Categories

Leia Stirling
Date : Friday, September 23, 2022
Mode : In-Person
Affiliation: University of Michigan
Bio: Visit Page

 

Title: “Walking, thinking, and wearing an exoskeleton: Examination of exoskeleton interactions with human information processing”

Abstract: Exoskeletons have been proposed to augment, assist, and rehabilitate motion. The efficacy of an exoskeleton in supporting the designed goals is affected by how a person moves with and uses the exoskeleton. This fluency between the human operator and exoskeleton is affected by the alignment between dimensions of the person and exoskeleton, but is also affected by the manner in which the exoskeleton is integrated in the perception-cognition-action decision process of the operator. In this talk, I will highlight studies that examine the interactions between sensory perception, executive function, and motor action selection while wearing a lower-body active exoskeleton during goal-oriented tasks.

Short Bio: Leia Stirling is an Associate Professor in Industrial and Operations Engineering at the University of Michigan, a Core Faculty in the Center for Ergonomics, a Core Faculty in the Robotics Institute, an Affiliate Faculty in the Space Institute, and the University of Michigan Center for Occupational Health and Safety Engineering (COHSE) Director of Occupational Safety Engineering and Ergonomics. She received her B.S. (2003) and M.S. (2005) in Aeronautical and Astronautical Engineering from the University of Illinois at Urbana-Champaign, and her Ph.D. (2008) in Aeronautics and Astronautics from MIT. She was a postdoctoral researcher at Boston Children’s Hospital and Harvard Medical School (2008-2009), on the Advanced Technology Team at the Wyss Institute for Biologically Inspired Engineering (2009-2012), then an Assistant Professor at MIT (2013 – 2019). She joined the faculty at the University of Michigan in 2019. Her research quantifies human performance and human-machine fluency to assess performance augmentation, advance exoskeleton control algorithms, mitigate injury risk, and provide relevant feedback to subject matter experts across domains.

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