Human sensing
Using electromyography, sonomyography, force/torque data, and motion capture to understand how people engage during therapy tasks.
Research
My research combines human sensing, robot control, and human-robot interaction to make rehabilitation systems more measurable, accessible, and responsive to individual motor behavior.
Themes
Using electromyography, sonomyography, force/torque data, and motion capture to understand how people engage during therapy tasks.
Designing upper-limb systems and task interfaces that support healthy practice across six-dimensional interaction spaces.
Studying robot-augmented telepresence and socially assistive systems for more accessible rehabilitation interactions.
Publications
Null-space planning work for maintaining dexterity during upper-limb robot-mediated rehabilitation.
Analysis of healthy and post-stroke neuromotor behavior during 6D isometric trajectory tracking with an end-effector rehabilitation robot.
Work toward granular neuromusculoskeletal models for post-stroke robot-mediated rehabilitation.
EEG response study comparing observation of actions performed by a human actor and a humanoid robot.