Abstract: An IoT device and system improves on prior approaches to tracking and analyzing symptoms and behavior of special needs individuals. The IoT device may include one or more buttons that can be pressed or held for an extended time by the user. Button presses and duration may be registered in a remote computer as being associated to a symptom or behavior. Patterns may be registered based on a sequence of the button presses and duration. Triggered button events may be collected and transmitted to a host server/network for re-transmission to support team members. In some embodiments, a machine learning module may analyze the collected data for patterns and/or deviations of behavior, which may be displayed to team members. In some embodiments, an automatic prognosis may be generated.

Abstract: An IoT device and system improves on prior approaches to tracking and analyzing symptoms and behavior of special needs individuals. The IoT device may include one or more buttons that can be pressed or held for an extended time by the user. Button presses and duration may be registered in a remote computer as being associated to a symptom or behavior. Patterns may be registered based on a sequence of the button presses and duration. Triggered button events may be collected and transmitted to a host server/network for re-transmission to support team members. In some embodiments, a machine learning module may analyze the collected data for patterns and/or deviations of behavior, which may be displayed to team members. In some embodiments, an automatic prognosis may be generated.