Current Research

My research interests are in the domain of technological interventions for post-stroke rehabilitation. These interests can be divided into three areas:
Robotics for Task Oriented Training (TOT): Task oriented training is known to be one of the dominant techniques for motorneurorehabilitation. We have been developing algorithms for a socially assistive robotic (SAR) agent to supervise and guide participants as they perform a TOT-style motor rehabilitative task. Our interests are in analyzing the quality of user motion, determining technological feasibility of our system, and evaluating user engagement and performance.
Activity Recognition and Motion Analysis: Functional motor capability in individuals post-stroke can change over the short and long term. We are developing techniques that use simple, non-invasive motion sensors to ascertain functional level and pinpoint characteristics that can be used to quantify quality of motion (such as directness of path, jerkiness, and velocity).
Automation of Functional Motor Assessments: Functional outcome assessments are used to determine the efficacy of a clinical intervention. Unfortunately, once an individual returns to their home, these assessments are no longer administered. We are developing tools to automate standard outcome measures; eventually, these tools will lead to assessments that can be administered by the patient in their own home without the aid of a clinician, leading to richer, more comprehensive data regarding patient functionality and recovery.

For details and more information, see my Interaction Lab Web Page and my publications