The primary objective of this research is to create a novel model of falls risk for stroke survivors returning to community living, with a specific focus on the predictive capacity of measures of reactive balance control. These reactions are assessed using ‘advanced’ technological measures as part of a unique Balance Mobility and Falls Clinic at Toronto Rehab. We anticipate that a model that identifies those who are most likely toexperience a loss of balance, and least likely to be able to recover from instability, will be highly predictive of falls in the community. We hypothesize that indices of reactive balance control will explain a larger proportion of variability in fall rates than conventional clinical indices largely based on voluntary movement.