Collaborative human edge node devices and related systems and methods

Abstract

Biological human-computer interfaces are used to control devices, such a robotic limbs, using brain signals, nerve signals and muscle signals. These interfaces are sometimes called brain-computing interfaces. The learning process for a user to control devices using these interfaces is cumbersome. A computing platform is provided that includes a library of human model templates that are used to take biological inputs signals to generate outputs that control the device. Different templates are more appropriate for users of different attributes, such as demographic attributes. The computing platform collects data from multiple other users with these interfaces and devices in order to calibrate the human model templates. The calibrated human model templates are then published to the individual users, so that they can more accurately control their devices using their biological input signals.

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