Context Recognition Using Multi-Modal Sensor Fusion
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Solution Overview
Problem
Existing methods for automatically generating social network posts based on user activity patterns struggle to capture specific, contextually rich information that is interesting and relevant over time, as they primarily focus on short-term movements and lack purpose-driven activities.
Innovation Solution
An information processing apparatus and method that analyzes user environment data, including location, image, and audio information at predetermined intervals to recognize contexts and generate context candidate information, incorporating user emotions to create engaging post content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If activity pattern recognition is performed based on short-term movement data, then automated post generation is enabled, but the specific content and context of user activities cannot be accurately captured
Solution Approach 1:
The patent transitions from analyzing only movement data (one dimension) to integrating multiple data dimensions including location information, image information, audio information, and movement data. This multi-dimensional approach enables accurate recognition of specific activity content and context while maintaining automated post generation capability.
Solution Approach 2:
The patent segments the context recognition process into distinct analysis components: location analysis, image analysis, audio analysis, and movement analysis. Each component processes specific types of data independently, then the results are integrated to form comprehensive context understanding, resolving the contradiction between automation and information accuracy.
2Productivity
If individual activity patterns are recognized in isolation, then automated sentence generation is achieved, but the sentences lack interest and relevance for social network posting
Solution Approach 1:
The patent merges multiple data sources (location, image, audio, movement) and their analysis results to generate context candidate information that encompasses both the factual activity content and the emotional/contextual meaning. This combination enables generation of interesting and relevant social network posts while maintaining efficient automated processing.
Solution Approach 2:
The patent creates composite context information by integrating results from multiple analysis processes. The context candidate information serves as a composite representation that combines objective activity data with subjective emotional and contextual elements, enabling high-quality automated post generation.
3Measurement precision
If comprehensive user environment data is collected and analyzed, then accurate context recognition is achieved, but the system complexity increases
Solution Approach 1:
The patent divides the complex analysis task into separate processing units: a recognition processing unit that performs analysis of location, image, audio, and movement data, and a context candidate information generating unit that synthesizes the results. This segmentation maintains high recognition accuracy while managing system complexity through modular architecture.
Data Source
AI summary
There is provided an information processing apparatus for automatically generating information representing a context surrounding a user, the information processing apparatus including a recognition processing unit configured to perform, on the basis of user environment information including at least any of location information representing a location where a user is present, image information relating to an environment surrounding a user, and audio information relating to the environment, an analysis process of at least any of the location information, the image information, and the audio information included in the user environment information, at a predetermined time interval, and to recognize a context surrounding the user, using the acquired result of analysis relating to the user environment; and a context candidate information generating unit configured to generate context candidate information representing a candidate of the context surrounding the user, the context candidate information including, at least, information representing the context surrounding the user and information representing the user's emotion in the context, using the result of context recognition performed by the recognition processing unit.