Rising Stars 2020:

Momona Yamagami

PhD Candidate

University of Washington, Seattle

Areas of Interest

  • Control, Intelligent Systems, and Robotics
  • Human-Computer Interaction
  • Accessibility


Exploring Novel Input Techniques for Human-Computer Interaction: Promoting Ubiquitous Rehabilitation Through Accessible Design


With the development of personal computing devices, information is easily available with the click of a mouse or tap from a finger. However, for people with limited movement in their arms and hands, interacting with such devices can be a difficult or impossible task. My research demonstrates the potential of muscle interfaces as an alternative input technique for people with and without limited movement to continuously interact with technology. I demonstrate how user input can be quantified as a response to error (feedback control) and future position (feedforward control) and how this method can be used to model and enhance user interaction during a one-dimensional cursor control task. Muscle interfaces could also potentially enable people with limited movement to use and improve muscle movement during everyday tasks like responding to emails. My research highlights the need for the exploration of alternative input techniques to improve device accessibility for users with limited movement that also promote ubiquitous rehabilitation.


I am a PhD candidate at the University of Washington in Seattle, WA, advised by Drs. Kat Steele and Sam Burden. My research focuses on modeling and enhancing human movement in the intersection of controls, rehabilitation, and accessibility in human-computer interaction (HCI). I am developing novel input techniques to promote ubiquitous rehabilitation for people with limited movement through accessible design. My dissertation research primarily focuses on modeling and enhancing continuous device interaction for people with and without limited movement using electromyography (EMG, electrical signals from muscles) signals as an accessible and novel input technique. My future research plans include the design and development of novel input techniques that promote rehabilitation while enhancing device accessibility.

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