Neural Interface Frequency Segmentation for Control Parameter Adjustment
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Solution Overview
Problem
Existing direct neural interfaces face complexity and impracticality in controlling electronic equipment with parameterizable commands, especially when there are a large number of possible values.
Innovation Solution
A neural stimulator/interface that reproduces signals with multiple frequencies, each associated with a specific direction of adjustment for a command parameter, simplifying the implementation and use by reducing the number of interaction stimuli needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a direct neural interface uses one frequency per value of a command parameter, then the control of parameterizable commands is achieved, but the device complexity and number of interaction stimuli increase significantly when there are many possible values
Solution Approach 1:
The patent segments the command parameter control into directional adjustments rather than individual value selections. Each frequency corresponds to a direction of adjustment (e.g., increase, decrease) rather than a specific parameter value, dividing the control task into manageable directional steps that reduce the total number of stimuli needed.
Solution Approach 2:
The patent introduces a new dimension of control by using directional adjustment frequencies instead of value-specific frequencies. This transforms the control space from a one-dimensional value selection problem into a two-dimensional problem involving direction and magnitude, allowing fewer frequency stimuli to control a larger parameter space.
2Adaptability or versatility
If a direct neural interface uses one frequency per value of a command parameter, then complete parameter control is achieved, but the ease of operation deteriorates due to the large number of frequencies the user must distinguish
Solution Approach 1:
The control interface is segmented into directional components rather than exhaustive value components. Users interact with a smaller set of directional frequency stimuli (e.g., increment, decrement directions) rather than needing to distinguish among many value-specific frequencies, making operation easier while maintaining full parameter control capability.
Solution Approach 2:
The patent introduces directional adjustment frequencies as intermediaries between the user's neural commands and the final parameter values. These intermediary frequencies translate simple directional intent into precise parameter adjustments, reducing the cognitive load on users while achieving complete parameter control.
3Device complexity
If a direct neural interface uses one frequency per direction of adjustment, then the implementation is simplified, but the measurement precision of parameter control must be maintained across multiple adjustment steps
Solution Approach 1:
The system performs preliminary actions by detecting the user's intended direction of adjustment through neural signals before executing the actual parameter change. This preliminary detection phase allows the system to prepare precise control mechanisms while keeping the interface simple, separating the detection of intent from the execution of adjustment.
Solution Approach 2:
The patent implements feedback mechanisms that monitor parameter changes across multiple directional adjustment steps. By continuously feedback the current parameter state and comparing it with the target state, the system maintains measurement precision even though the interface uses simplified directional frequencies rather than value-specific frequencies.
Data Source
AI summary
A neural stimulator/interface, a direct neural interface, an electronic device, a neural stimulator/interface initialization method and a method for controlling an electronic device. In particular, a direct neural interface interacts with an electronic device in order to vary a control parameter of the electronic device. A neural stimulator/interface is provided that is capable of reproducing at least one signal to be reproduced with several discrete given frequencies, the given frequencies being associated with discrete given directions for adjusting a control parameter of an electronic device. Thus, the implementation of a neural interface for parameterizable controls is simplified since it requires only one frequency per control parameter setting direction instead of one frequency per value of the control parameter. A neural interface can then be implemented regardless of the number of values of the control parameter, even when this number is large.