Systems and methods for predictive environmental fall risk identification

A system for predictive environmental fall risk identification for a user, the system comprising:

• a sensor, the sensor providing dynamic observations of an environmental map;
• at least one processor;
• and
• a memory storing processor-executable instructions, wherein the at least one processor is configured to implement the following operations upon executing the processor-executable instructions:
• determining the environmental map;
• collecting a set of risk factors for the environmental map using the sensor;
• assessing the set of risk factors for the environmental map for the user;
• creating a first training set comprising the collected set of risk factors;
• training an artificial neural network in a first stage using the first training set;
• creating a second training set for a second stage of training comprising the first training set and the dynamic observations of the environmental map;
• training the artificial neural network in the second stage using the second training set;
• predicting a fall risk of the user using the artificial neural network;
• and
• sending an alert to the user based on the dynamic observations of the environmental map and the fall risk of the user.