Wearable Device Wear State Detection Using Physiological Signals
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Solution Overview
Problem
Wearable devices often become separated from users, leading to difficulties in locating them and resulting in unnecessary notifications, as existing systems lack accurate methods to distinguish between intentional removal and accidental separation.
Innovation Solution
The implementation of a system that uses physiological data, such as temperature, acceleration, and PPG data, to determine the wear state of a wearable device, triggering alerts only when the device is determined to be intentionally or accidentally separated from the user, utilizing a user device to display the last known location and enabling modes like lost mode to help locate the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wearable device sends notifications when separated from the user, then the user is alerted about potential loss, but false notifications occur when the user intentionally removes the device
Solution Approach 1:
The system continuously monitors physiological data (heart rate, body temperature, skin conductance) from the wearable device and compares it against baseline values to determine wear state. This feedback mechanism allows the system to distinguish between intentional removal and accidental separation by detecting physiological changes, thereby reducing false notifications while maintaining reliable alerting.
Solution Approach 2:
The patent replaces simple mechanical proximity detection with physiological sensing systems. Instead of relying solely on distance-based or motion-based separation detection, the system uses biological signals (heart rate variability, body temperature, galvanic skin response) to determine whether the user is actually wearing the device, significantly improving notification accuracy and reducing false alerts.
2Measurement precision
If the system uses multiple physiological sensors to determine wear state, then separation detection accuracy improves, but device complexity increases
Solution Approach 1:
The wearable device utilizes existing physiological sensors (heart rate monitor, temperature sensor, motion detector) that serve multiple functions. These sensors are already part of the device for health tracking purposes, and the patent repurposes them for wear state detection as well, avoiding additional hardware complexity while improving measurement precision through multi-parameter analysis.
Solution Approach 2:
The system combines data from multiple existing sensors (accelerometer, gyroscope, heart rate sensor, temperature sensor) into a unified wear state determination algorithm. By merging these sensor inputs and analyzing them collectively, the system achieves high detection accuracy without adding separate dedicated sensors, thus managing complexity through integration rather than proliferation of components.
Data Source
AI summary
Methods, systems, and devices that support techniques for generating alerts based on a relative location are described. A method may include acquiring physiological data associated with a user via a wearable device, the physiological data including at least temperature data, acceleration data, and photolethysmogram (PPG) data, or a combination of data. The method may include determining that the user is not wearing the wearable device based on the physiological data. The method may include determining a signal strength associated with a wireless connection between the wearable device and a user device associated with the user based on the user not wearing the wearable device. The method may include causing a graphical user interface (GUI) of the user device to display notification associated with the wearable device based on the signal strength failing to satisfy a threshold signal strength.