Altitude and/or motion data is collected from one or more devices associated with multiple application users, and the altitude and/or motion data is utilized to generate machine learning-based predictive model training data. One or more machine learning-based predictive models are trained using the machine learning-based predictive model training data. Current altitude and/or motion data is collected from one or more devices associated with a current user of an application and is provided to the one or more trained machine learning-based predictive models. Predictions regarding the physical and/or psychological state of the user are received from the one or more trained machine learning-based predictive models and analyzed to identify changes or anomalies in the user's physical and/or psychological state. Upon identification of changes or anomalies in the user's physical and/or psychological state, one or more actions are taken to assist the user.
METHOD AND SYSTEM FOR REMOTELY MONITORING THE PHYSICAL AND PSYCHOLOGICAL STATE OF AN APPLICATION USER USING ALTITUDE AND/OR MOTION DATA AND ONE OR MORE MACHINE LEARNING MODELS