Motion Sensor Calibration via Incited User Actions
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Solution Overview
Problem
Existing electronic devices and user interfaces face challenges in ensuring accurate sensor calibration, as traditional methods require users to explicitly perform calibration actions, which can disrupt ongoing activities and are not seamlessly integrated into regular operations.
Innovation Solution
The technique involves using application content, such as gameplay, to incite user actions that facilitate sensor calibration without explicitly requesting them, allowing calibration to occur implicitly during normal device usage, ensuring seamless runtime calibration and optimizing sensor performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional explicit calibration methods are used, then sensor calibration accuracy is improved, but user convenience deteriorates due to disruption of ongoing activities
Solution Approach 1:
The system automatically performs sensor calibration by monitoring and analyzing user actions during normal device operation. The calibration process is initiated and executed by the system itself without requiring explicit user commands, thereby maintaining sensor accuracy while preserving user convenience. The system self-adjusts calibration timing and triggers based on detected usage patterns.
Solution Approach 2:
The patent introduces an intermediary calibration management system that bridges between sensor calibration requirements and user application usage. This intermediary layer monitors user actions, determines optimal calibration moments, and coordinates calibration execution without directly interrupting user activities. It acts as a mediator that reconciles the conflicting needs of calibration accuracy and operational continuity.
2Reliability
If explicit calibration requests are made, then sensor calibration is ensured, but application continuity deteriorates due to required pauses
Solution Approach 1:
The system performs calibration actions preliminarily and proactively based on predicted optimal timing. By analyzing user behavior patterns and application states, the system schedules calibration operations in advance during naturally occurring pauses or transitions in usage, ensuring sensor reliability is maintained without disrupting application flow. Calibration is prepared and executed at pre-determined optimal moments before issues arise.
Solution Approach 2:
The calibration system is made dynamic and adaptive, continuously adjusting calibration timing and triggers based on real-time monitoring of user actions and application states. Rather than using fixed calibration schedules, the system dynamically determines when calibration should occur based on current usage context, allowing calibration to be performed during natural transitions without interrupting productive application usage. The calibration strategy adapts to changing usage patterns.
3Ease of operation
If calibration is performed during normal usage, then user experience is improved, but calibration precision may deteriorate due to lack of explicit user intent
Solution Approach 1:
The system employs feedback mechanisms to monitor and verify calibration quality during implicit calibration operations. By continuously tracking user actions and sensor responses, the system receives feedback on calibration effectiveness and can adjust calibration parameters and triggers accordingly. This feedback loop ensures that even though calibration occurs implicitly during normal usage, the precision requirements are maintained through iterative optimization based on observed performance.
Data Source
AI summary
In a method of motion sensor calibration, a motion with which to calibrate a motion sensor is determined. The motion sensor is controlled by a sensor processor and the motion sensor is comprised within a user interface that is coupled with a gaming engine. The sensor processor and the gaming engine coordinate regarding the motion. The sensor processor monitors the motion sensor for evidence of the motion made as a user input via the user interface in response to game content implemented by the gaming engine, based on the coordination, to incite the motion. The sensor processor calibrates the motion sensor with the motion.