Activity classification based on a resistance, effort, and posture of a user

This invention describes a way to automatically categorize a user's physical activity. It works by gathering data on multiple factors, including the user's heart rate (effort), how they are moving (resistance, like steps or stride rate), and their body posture. The system then uses predefined rules to classify the activity, specifically focusing on identifying whether the user is walking, running, inactive, or performing other non-specific movements based on their steps.

Why it matters: Filed before widespread integration of activity data with generative AI. The precise classification of user activity, including non-specific movement, now offers richer input for personalized coaching or marketing systems powered by large language models.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeart rate monitor, motion sensors, complex software logic

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