Wearable Mental State Sensing for Context-Aware Interface Actions
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Solution Overview
Problem
Current brain-computer interfaces require users to train each action for long periods, leading to low accuracy and limited commercial viability, and context-aware systems fail to address individual differences in user thinking, making them suboptimal for everyday use.
Innovation Solution
A system comprising wearable sensors that detect biological and environmental signals to determine a user's psychological and contextual states, using machine learning to assign interface actions without extensive user training, enabling continuous adaptation to the user's emotional and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current brain-computer interface methods are used, then users can control interfaces, but users must train each action for extended periods leading to low accuracy and limited ubiquity
Solution Approach 1:
The system changes the parameters for action recognition from discrete, trained categories to continuous psychological state dimensions. Instead of training users on specific discrete actions, the system measures continuous biological signals (EEG, EOG, EMG, ECG) and maps them to psychological states, which then automatically translate to appropriate interface actions without requiring user training.
Solution Approach 2:
The patent replaces the mechanical training-based control system with a biological signal-based system. Instead of requiring users to mechanically train their brain to associate specific thoughts with actions, the system directly reads biological signals and automatically determines actions based on the user's psychological state, substituting the training mechanism with direct biological measurement.
2Ease of manufacture
If discrete action models are used, then interface control is achieved, but the model is difficult and time consuming to create and accuracy is limited to eighty-percent range
Solution Approach 1:
The system creates a universal model that works across all users by measuring continuous psychological states rather than creating user-specific discrete action models. The same biological signal measurement and psychological state mapping approach works for every user, eliminating the need to create and train individual models for each user while achieving higher accuracy through continuous state measurement.
3Adaptability or versatility
If context-aware software is implemented, then quality of user experience is increased, but the system becomes more complex
Solution Approach 1:
The system performs self-service by automatically determining psychological states and assigning appropriate interface actions without requiring user input or configuration. The system self-adjusts to different contexts and users by continuously measuring biological signals and automatically translating them into context-appropriate actions, reducing the need for complex user configuration while maintaining high adaptability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides accurate and personalized interface actions based on real-time user states, enhancing usability and reducing training time, thus improving the effectiveness and adoption of brain-computer interfaces.
Implementation Method 1
the at least one user sensor corresponds to a specific region of the user's body and to the underlying biological processes corresponding to that region of the body. As a user performs various actions and/or encounters various circumstances throughout the day while wearing the wearable device, various biological processes undergo continuous changes and produce a signal, which is detected by the at least one user sensor.
Implementation Method 2
The at least one context sensor may measure an environmental circumstance of the user.
Data Source
AI summary
A system and method for determining a vector of action based on a psychological state and a contextual state of a user are provided. The system utilizes signals generated by biological processes to determine a user's psychological state and utilizes environmental conditions to determine a user's contextual state. The signals are detected by at least one user sensor within a wearable device, and the environmental conditions are detected by at least one context sensor of the system. The contextual state and psychological state are analyzed to create a vector of action for the user. A vector of action instructs the system to provide the user with an interface action based on the contextual state modified by the psychological state. Because the system continuously determines a user's psychological and contextual states, the system may continuously provide the user with interface actions relevant to the user's current emotional state and environment.