Electronic Caregiver, Inc.

Hannah S Rich

Jacob R Wright

Bryan John Chasko

Judah Tveito

Exemplary embodiments include an intelligent secure networked architecture configured by at least one processor to execute instructions stored in memory, the architecture comprising a data retention system and a machine learning system, a web services layer providing access to the data retention and machine learning systems, an application server layer that provides a user-facing application that accesses the data retention and machine learning systems through the web services layer and performs processing based on user interaction with an interactive graphical user interface provided by the user-facing application, the user-facing application configured to execute instructions for a method for room labeling for activity tracking and detection, the method including making a 2D sketch of a first room on an interactive graphical user interface, and using machine learning to turn the 2D sketch of the first room into a 3D model of the first room.

Room labeling drawing interface for activity tracking and detection

In various exemplary embodiments the present technology is directed to methods and systems for predictive environmental fall risk identification for a user. A device may receive dynamic observations of an environmental map using a sensor. A device may determine the environmental map. A device may collect a set of risk factors for the environmental map using the sensor. A device may assess the set of risk factors for the environmental map for the user. A device may create a training set comprising the collected set of risk factors. A device may train an artificial neural network using the training set. A device may predict a fall risk of the user using the artificial neural network. A device may send an alert to the user based on the dynamic observations of the environmental map and the fall risk of the user.

Systems and methods for predictive environmental fall risk identification using dynamic input

In various exemplary embodiments, the present technology is directed to systems and methods for predictive environmental fall risk identification for a user.

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Las Cruces, NM, United States of America

Hannah S Rich