Database Construction for Realistic User State Representation
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Solution Overview
Problem
Existing methods for visualizing user mental status and facial expressions using avatars are limited to simple representations and lack the capability to convey realistic user states, especially with the increasing complexity of remote communication and diverse applications.
Innovation Solution
A database construction method that acquires real-time vital data and correlates it with additional user-input or sensor-collected information to associate with the user's state, enabling the creation of a database that reflects realistic user states, which is then used to display a more detailed and accurate avatar representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only simple vital data (e.g., heart rate variability) is used to represent user state, then the system is simple to implement, but the realism and accuracy of user state representation is insufficient
Solution Approach 1:
The patent combines multiple types of information (vital data from sensors, user-input information, and environment information) into a unified database structure. This merging allows the system to achieve high measurement precision for user state representation by integrating diverse data sources, while the standardized database framework keeps the overall system complexity manageable.
Solution Approach 2:
The database structure is designed to universally accommodate multiple types of information (vital data, user-input information, and environment information) through a common association framework. This multi-functionality allows the same database structure to handle diverse data sources, improving representation accuracy without requiring separate complex systems for each data type.
2Measurement precision
If multiple types of information are collected and correlated to improve user state representation, then the realism of avatar display is enhanced, but the complexity of data processing and correlation analysis increases
Solution Approach 1:
The patent segments information into three distinct categories (vital data, user-input information, and environment information), each with its own acquisition method and characteristics. This segmentation allows the system to process and correlate multiple types of information systematically, improving user state estimation accuracy while managing processing complexity through structured organization.
Solution Approach 2:
The database serves as an intermediary structure that receives, stores, and correlates multiple types of information before presenting the integrated user state representation. This intermediary database layer simplifies the correlation analysis process by providing a standardized interface between diverse data sources and the avatar display system, reducing overall system complexity.
3Speed
If real-time data acquisition is implemented for accurate user state monitoring, then the responsiveness of avatar display is improved, but the energy consumption and computational load increase
Solution Approach 1:
The system implements periodic data acquisition at predetermined time intervals rather than continuous monitoring. This periodic action maintains real-time responsiveness for accurate user state monitoring while significantly reducing energy consumption and computational load compared to continuous data collection, as the sensors and processing units can enter low-power states between measurement cycles.
Data Source
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AI summary
To provide a construction method of a database and the like in which data representing realistic states of a user is accumulated. The database construction method includes the steps of: (a) acquiring, in real-time, first information which fluctuates in accordance with a state of a user, by using vital data acquiring means mounted to the body of the user or installed in a vicinity of the user; (b) acquiring one or more types of second information which differs from the first information; (c) analyzing a correlation between the first information and the second information; and (d) associating the second information with the state of the user based on an analysis result of the correlation.