Devices and methods to navigate in areas using a machine learning model

This invention describes a system that uses artificial intelligence to help people navigate. It works by training a computer model with information about places and how people typically move through them. This trained model then calculates a path for a person, which can be shown to them on a screen, through sound, or by touch.

Why it matters: Filed before widespread mobile AI chips and improved sensor fusion for precise indoor positioning. Real-time ML-driven personal navigation is now more feasible on consumer devices.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning model, training data

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