Context Information Estimation in Mobile Terminals
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Solution Overview
Problem
Conventional context recognition-based intelligent and personal services in mobile terminals rely on separate hardware sensors and do not utilize a software platform to estimate context information such as user state or social relations from stored data.
Innovation Solution
A software platform in a mobile terminal that registers correlation relations between low-level and high-level context variables, generates high-level context variables from low-level data, and provides these to upper applications, utilizing a context widget manager, context manager, and interaction manager to facilitate intelligence-oriented services without additional hardware sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate hardware sensors are used for context recognition, then measurement precision of context information is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces hardware sensors with a software-based context recognition system that processes existing mobile terminal data (call logs, SMS, contacts, usage patterns) to estimate context information, eliminating the need for additional physical sensors while providing comparable contextual awareness
Solution Approach 2:
The system creates virtual representations of context information by processing and analyzing copies of existing data stored in the mobile terminal, generating context models without requiring physical sensing hardware
2Adaptability or versatility
If conventional context recognition systems are used, then implementation simplicity is maintained, but adaptability to diverse context scenarios is limited
Solution Approach 1:
The context recognition system is divided into modular components including data acquisition modules, data processing modules, context estimation modules, and service provision modules, allowing independent development and adaptation of specific context recognition functions without redesigning the entire system
Solution Approach 2:
The software platform is designed to handle multiple types of context information (user state, social relations, location, time) using a unified architecture that processes various data sources through common processing pipelines, enabling the system to adapt to diverse service scenarios
Data Source
AI summary
A method and an apparatus for providing an intelligence-oriented service using context information estimation in a mobile terminal are provided. In the method, a correlation relation between a low level context variable and a high level context variable is registered. The low level context variable is obtained from at least one data stored in the mobile terminal. The high level context variable is generated using at least one low level context variable. The high level context variable is provided to an upper application.