System and method for predicting fall risk for a resident

A system for predicting fall risk for a resident, the system comprising:

• one or more sensors configured to collect data measurements related to an activity of a resident, wherein one or more of the sensors are configured to measure one or more motion characteristics related to the resident, wherein one or more of the sensors comprise range controlled radar (RCR) sensors, wherein at least one of the RCR sensors measure one or more walking features based on the collected data measurements, wherein one or more of the walking features is selected from a group consisting of:
• gait length, variable movement speed, gait/balance instability, transit pauses and drop attacks;
• and
• a fall risk prediction subsystem, configured to predict a fall risk likelihood for the resident based on the data measurements collected from one or more of the sensors.