This wearable device uses its sensors to track a user's motion and physical state, also checking if a specific application is running. It then determines the user's activity category, such as sedentary or active, based on these inputs. Finally, it collects heartrate data and categorizes it according to the detected activity, for instance, labeling heartrate as 'sedentary' when the user is still and the app is not launched.
Why it matters: Filed before widespread on-device AI for complex activity recognition. The multi-sensor activity and heartrate categorization logic could now leverage more efficient AI models.
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