Wearable Sensor Engagement Detection Using Motion Thresholds
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Solution Overview
Problem
Existing wearable devices with health monitoring sensors face challenges in accurately interpreting data due to varying engagement with users, leading to erroneous signal components from movement and ambient light variations, necessitating a method to assess and validate sensor data based on engagement with a platform.
Innovation Solution
A method and system that utilize motion and engagement sensors to determine if a portable device is engaged with a platform by comparing engagement sensor data to a threshold based on motion sensor data, allowing for accurate data interpretation and validation, and adjusting analysis accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the wearable device is not securely engaged with the user, then the device allows for ease of operation and comfort, but the sensor data quality deteriorates due to movement and ambient light variations
Solution Approach 1:
The system performs preliminary detection of engagement status using motion sensors and engagement sensors before sensor data is collected. By detecting whether the device is properly engaged with the user in advance, the system can prevent collection of erroneous data caused by improper wear, thus maintaining data quality without requiring the user to constantly adjust the device for comfort.
Solution Approach 2:
The system continuously monitors engagement status through motion sensors and engagement sensors, providing real-time feedback about whether the device is properly worn. This feedback mechanism allows the system to distinguish between intentional movement and improper wear, enabling accurate health monitoring while maintaining user comfort and ease of operation.
2Reliability
If the device continuously monitors engagement status, then the reliability of health monitoring improves, but the energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system employs periodic sampling of engagement status using motion sensors and engagement sensors. The engagement threshold is evaluated at intervals, allowing the system to maintain reliable health monitoring while significantly reducing energy consumption compared to continuous monitoring approaches.
Solution Approach 2:
The system dynamically adjusts the engagement threshold parameter based on motion sensor data. When motion levels indicate the device is properly engaged, the system activates health monitoring; when motion suggests improper wear, monitoring is suspended. This parameter-based control maintains reliability while minimizing energy usage by activating sensors only when needed.
3Measurement precision
If the engagement threshold is based on motion sensor data, then the accuracy of engagement determination improves, but the device complexity increases due to multiple sensors and processing requirements
Solution Approach 1:
The motion sensor serves multiple functions: it detects both the engagement status of the device and the motion state of the user. By making the motion sensor multi-functional, the system achieves accurate engagement determination without adding dedicated engagement sensors, thus improving precision while limiting the increase in device complexity.
Solution Approach 2:
The system merges the engagement detection function with the motion sensing function. By combining these functions and using a unified engagement threshold based on motion sensor data, the system reduces the number of separate sensors and processing streams needed, achieving accurate engagement determination while managing device complexity through functional integration.
Data Source
AI summary
A portable device is provided having a motion sensor and an engagement sensor. A determination may be made whether the portable device is engaged with the platform. The data being output by the sensor may be used accordingly.