Barometric Pressure Sensor Calibration Using Activity Context
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Solution Overview
Problem
Consumer-grade mobile devices with barometric pressure sensors often lack accurate calibration, leading to unreliable altitude determination due to poorly calibrated sensors and environmental factors like vehicle movement or enclosed spaces, necessitating automatic calibration without user intervention.
Innovation Solution
A system that determines the activity context of a mobile device by analyzing sequential activity transitions, time, and position relationships to assess whether the environment is conducive to calibration, thereby deciding when to perform sensor calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If barometric pressure sensor calibration is performed automatically without user intervention, then ease of operation is improved, but reliability deteriorates due to potential poor calibration opportunities in unfavorable activity contexts
Solution Approach 1:
The system continuously monitors activity context data (accelerometer, GPS, barometer readings) and uses this feedback to dynamically determine whether current conditions are suitable for calibration. The calibration process is triggered only when the system detects favorable activity patterns, creating a closed-loop control system that adapts to changing conditions.
Solution Approach 2:
The system performs preliminary assessment of activity context before initiating calibration. By analyzing activity transitions and environmental conditions in advance, the system pre-evaluates whether calibration conditions are favorable, preventing poor calibrations before they occur.
2Reliability
If calibration is performed frequently to maintain accuracy, then reliability is improved, but loss of time increases due to repeated calibration operations
Solution Approach 1:
Instead of continuous or fixed-interval calibration, the system implements periodic calibration triggered by specific activity patterns. Calibration occurs periodically when favorable activity contexts are detected, rather than on a strict time schedule, optimizing the balance between maintaining accuracy and minimizing time loss.
Solution Approach 2:
The system autonomously monitors its own activity context and self-determines when calibration is appropriate, eliminating the need for user intervention or external scheduling. The device serves itself by automatically recognizing optimal calibration moments based on its operational state.
3Device complexity
If conventional activity determination methods are used to assess calibration suitability, then device complexity is reduced, but measurement precision deteriorates due to misleading location and acceleration data
Solution Approach 1:
The system merges multiple data sources (accelerometer readings, GPS location data, barometric pressure measurements) into a unified activity context assessment. By combining these measurements and analyzing their relationships, the system achieves more precise activity determination than any single sensor could provide alone.
Solution Approach 2:
The system transitions from analyzing single-dimension activity data to evaluating multi-dimensional activity contexts. By considering temporal patterns, spatial relationships, and multiple sensor dimensions simultaneously, the system achieves more accurate activity classification without significantly increasing device complexity.
Data Source
AI summary
A wholistic activity context is used to determine whether to calibrate a barometric pressure sensor of a mobile device. A pair of activity transitions are determined from three activities of the mobile device. A time relationship and a position relationship between the activity transitions is determined. An opportunity to calibrate the barometric pressure sensor occurs between the activity transitions. A calibration of the barometric pressure sensor is performed in response to determining that the time relationship and the position relationship indicate that the wholistic activity context surrounding the opportunity to calibrate the barometric pressure sensor is conducive to calibration.