Kitago Lab
Impact

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Functional data analytics for kinematic assessments of motor control

GRANT: 
Federal
August 1, 2016 to May 31, 2021
Funding Agency: 
National Institutes of Health (NIH)
Funding Institute: 
National Institute of Neurological Disorders and Stroke (NINDS)

Goals

We propose to develop models that address gaps in the statistical literature exposed by data produced in experiments using kinematic data to assess motor control, skill, learning, and recovery following stroke. In place of immense data reductions, which are the current standard analysis, we propose a collection of models using a functional data analytic perspective. 

Investigators

Tomoko's Photo
Lab Director
Human Motor Recovery Laboratory
Assistant Professor
Role: 
Co-Investigator

Associated