Adaptive Brain Activity Control Scheme for Media Guidance
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Solution Overview
Problem
Current technologies face challenges in distinguishing and mapping various brain activities to control media access, limiting the effectiveness of brain-activity-based remote control systems due to the inability to differentiate sufficient types of brain signals for complex user commands.
Innovation Solution
A media guidance application that selects a control scheme based on the number of user input types distinguishable through monitored brain activity, allowing users to access media without a traditional remote control by mapping functions to specific brain states, and adapting to the capabilities of the monitoring device, regardless of the type of brain monitoring component used.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If brain activity monitoring equipment is used to replace traditional remote control, then the number of buttons and device complexity is reduced, but the ability to distinguish sufficient types of brain activity for complex user commands is insufficient
Solution Approach 1:
The system dynamically adapts the control scheme based on the monitored brain activity capabilities. The media guidance application adjusts the number of functions and control methods according to the distinguishable brain states, transforming a static remote control into a dynamic system that evolves with user capability.
Solution Approach 2:
The system changes the parameter of control scheme configuration based on brain activity monitoring results. By adjusting the number of functions and control methods according to the detected brain states, the system optimizes the mapping between brain signals and media control operations.
2Adaptability or versatility
If a fixed control scheme is used with brain monitoring, then the system is simpler to implement, but it limits adaptability to different brain monitoring capabilities and user experience levels
Solution Approach 1:
The system performs preliminary monitoring of brain activity capabilities before establishing the control scheme. The media guidance application assesses the distinguishable brain states in advance and configures the appropriate number of functions and control methods accordingly, preparing the system before actual use.
Solution Approach 2:
The system incorporates feedback from brain activity monitoring to continuously optimize the control scheme. The media guidance application uses the monitored brain states as feedback to adjust and adapt the control configuration, creating a closed-loop system that improves with use.
Data Source
AI summary
Methods and systems are described herein for a media guidance application that selects a control scheme based on a number of user input types that are distinguishable based on brain activity monitored by a user device. For example, if the media guidance application determines that only two different user input types may be based on brain activity, the media guidance application will select a control scheme that only requires two different functions to select any available media guidance application operations.


