Mobile Device Sensor Fusion for Context-Aware Behavior Customization
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Solution Overview
Problem
Personal communications devices lack the ability to effectively customize behavior based on user conduct and environmental context, leading to suboptimal user experience and safety concerns, such as missed notifications or collisions while using the device.
Innovation Solution
The device utilizes multiple sensors, including cameras, microphones, and GPS, to analyze user conduct and environmental context, inferring user intent and needs to adjust its behavior accordingly, such as providing information about objects of interest or warning of impending collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the device provides basic notification functions, then the device operates simply, but the user experience is suboptimal and safety concerns arise
Solution Approach 1:
The patent segments the sensing and analysis functions into separate modules: conduct sensors detect user actions, context sensors detect environmental conditions, and the processor analyzes relationships between them. This modular approach enables safety improvements without requiring complete system redesign.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives data from multiple sensors, analyzes relationships between user conduct and environmental context, and generates appropriate notifications. This intermediary layer bridges the gap between raw sensor data and actionable safety alerts.
2Adaptability or versatility
If the device analyzes user conduct and environmental context using multiple sensors, then user experience is enhanced and safety is improved, but the device complexity increases
Solution Approach 1:
The patent implements a universal processing framework that handles multiple sensor types (conduct sensors, context sensors) and multiple analysis functions (relationship identification, behavior customization, safety monitoring) through a single integrated system. This multi-functional approach enables diverse capabilities while managing complexity through unified architecture.
Solution Approach 2:
The patent enables dynamic behavior customization where the device adapts its notification and interaction patterns based on real-time analysis of user conduct and environmental context relationships. The system dynamically adjusts its operation rather than following fixed rules, improving adaptability.
3Reliability
If the device remains simple without advanced sensor analysis, then the device is easier to operate, but notifications may be missed and collisions may occur
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors user conduct and environmental context, analyzes their relationships, and adjusts notification delivery accordingly. The feedback loop ensures notifications are delivered at appropriate times based on real-time situational awareness.
Solution Approach 2:
The patent performs preliminary analysis of conduct and context relationships to anticipate situations where notifications might be missed or safety issues might arise. By proactively identifying potential problems before they occur, the system can take preventive action.
Data Source
AI summary
Described herein is a technique for customizing device behavior based on evaluated relationships between a user and the user's environment. User conduct is analyzed based on available sensors, which may include user-facing cameras. The user's environmental context is similarly evaluated based on the available sensors. Conduct and context, as well as any identified relationships between such conduct and context, may be reported to application programs, and may form the basis for customized device behavior.