Multimodal User-Intent Recognition for Accurate Biometric Device Control
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Solution Overview
Problem
Existing devices that operate using biological information, such as brain waves, face accuracy issues in their operations.
Innovation Solution
An information processing apparatus that associates voice recognition results with biological information and manual operation data to improve device operation accuracy by using a processor to correlate and operate based on these inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a device is operated using only biological information such as brain waves, then the operation can be performed without manual input, but the accuracy of the operation is insufficient
Solution Approach 1:
The patent combines multiple types of biological information (brain waves, voice, facial expressions, manual operation data) into a unified control system. By merging these different biological signals and cross-referencing them together, the system achieves higher accuracy in determining user intent while maintaining automatic operation capabilities without requiring any single biological signal to be perfectly accurate on its own.
2Measurement precision
If multiple types of biological information are collected and analyzed, then the accuracy of device operation improves, but the complexity of the system increases
Solution Approach 1:
The patent divides the complex analysis task into separate modules: one module collects brain wave signals, another collects voice signals, another collects facial expression data, and yet another collects manual operation history. Each module processes its specific type of data independently using specialized algorithms, then the results are integrated. This segmentation allows the system to handle multiple complex data types without becoming unmanageably complex as a whole.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives raw data from multiple biological sensors, standardizes the data formats, and performs preliminary analysis before passing processed information to the decision-making module. This intermediary layer acts as a buffer that simplifies the integration process and reduces the complexity burden on the final decision-making algorithms.
3Ease of operation
If biological information is used to operate devices, then user convenience is improved, but reliability of operation decreases due to inaccurate interpretation of biological signals
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors multiple biological signals and adjusts its interpretation based on patterns observed over time. When initial interpretations of biological signals are ambiguous or conflicting, the system uses feedback from related signals (e.g., using facial expression data to disambiguate brain wave patterns) and from historical operation data to refine its decisions, thereby maintaining high reliability while preserving ease of use.
Data Source
AI summary
An information processing apparatus includes a processor configured to associate information indicating a recognition result of a voice of a user uttered at a time at which the user manually operates a device, biological information other than the voice of the user, and manual operation information indicating a manual operation for the device with each other, and operate the device based on the biological information in a subsequent operation.