Mobile Device Profile Selection Using Sensor Fusion
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Solution Overview
Problem
Existing mobile device usage profiles are often inaccurate as they rely solely on calendar data and do not account for real-time situational changes, leading to notifications that may be missed or disruptive.
Innovation Solution
The use of data from various sensors and sources, such as hardware sensors and remote data, to dynamically determine and apply profiles, adjusting settings like ringtone, call filtering, and notification modes, with personal data given higher importance and user feedback for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If profile selection is linked to calendar data only, then the system is simple to operate, but the accuracy of profile selection deteriorates when user situation is not synchronized with calendar
Solution Approach 1:
The patent combines multiple data sources including calendar data, sensor data (light, motion, proximity), and location data to determine usage context. This merging of diverse data sources resolves the contradiction by maintaining system simplicity while significantly improving profile selection accuracy through multi-source validation.
Solution Approach 2:
The system uses a universal context determination mechanism that works across multiple data sources and scenarios. The same profile selection logic can process calendar events, sensor inputs, and location data uniformly, enabling accurate profile selection whether the user is in a meeting, traveling, or at home without requiring separate systems for each scenario.
2Object-affected harmful factors
If notifications are made more discrete, then they are less disturbing to users, but they become easier to miss or ignore
Solution Approach 1:
The patent applies dynamic notification strategies that adapt to the determined usage context. Notifications automatically adjust their characteristics (sound, vibration, visual intensity, delivery timing) based on real-time context such as meeting status, location, and user activity, resolving the contradiction by making notifications context-appropriate rather than statically discrete or intrusive.
Solution Approach 2:
The system changes notification parameters (volume, vibration pattern, display brightness, delivery time) based on usage context. For example, during a meeting context, notifications use vibration only with delayed delivery, while during commuting context, they use audible alerts with immediate delivery, thus maintaining reliability without excessive disturbance.
3Measurement precision
If multiple data sources are integrated for profile determination, then the accuracy of situational awareness is improved, but the device complexity increases
Solution Approach 1:
The patent segments the data processing into distinct modules: calendar event processing, sensor data acquisition, location service integration, and context determination logic. Each module handles specific data types independently, reducing overall system complexity while enabling accurate integration of multiple data sources for comprehensive situational awareness.
Data Source
AI summary
Various embodiments pertain to techniques that utilize data obtained from various sensors and sources of information on a mobile device to determine a profile to be applied to the mobile device. Data obtained from various sensors and sources of information on the mobile device can include real-time data from hardware sensors or receivers on the mobile device, local device data, and remote data available via a wireless connection. Applying the profile to the mobile device can include adjusting various parameters, such as ringtone tune, ringtone volume, call filtering, call forwarding, and message notification. In various embodiments, data is obtained and analyzed to determine a profile category for the user. In some embodiments, different types of data can be weighted differently, and data that is more personal can have a higher relative importance when compared to data that is less personal.