Biofeedback Training via Task Element Perturbation
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Solution Overview
Problem
Current biofeedback training methods in performance psychology require numerous sessions, are non-contextual, and fail to integrate optimal mental state training with task execution, leading to motivation issues and ineffective real-time performance enhancement.
Innovation Solution
An apparatus and method that embeds biofeedback training directly into the task performance environment, modulating task elements such as golf club accuracy, putting green stability, and target size based on the trainee's physiological state to create a real-time, contextually relevant training experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biofeedback training methods are used, then physiological state monitoring is achieved, but training requires numerous sessions and lacks contextual relevance
Solution Approach 1:
The patent merges biofeedback training with actual task performance by integrating physiological monitoring into the task environment itself. Task elements are physically perturbed based on real-time physiological data, combining what were previously separate activities (monitoring and training) into a unified process that occurs during natural task execution.
Solution Approach 2:
The system prepares the task environment in advance by establishing contingency plans that link specific physiological states to predetermined environmental modifications. This preliminary configuration allows immediate response to physiological changes without requiring extended training sessions to establish response protocols.
2Ease of operation
If biofeedback training is separated from task execution, then physiological monitoring is simplified, but real-time performance enhancement is lost
Solution Approach 1:
The patent combines physiological monitoring and task execution into a single integrated process. The biofeedback system does not operate separately but is embedded within the task performance environment, allowing simultaneous monitoring and real-time intervention without adding operational complexity.
Solution Approach 2:
The system implements continuous real-time feedback by monitoring physiological signals during task execution and immediately perturbing task elements in response. This closed-loop feedback mechanism enables performance enhancement while maintaining operational simplicity through automated responses.
3Device complexity
If task elements are not dynamically adjusted, then training setup is simpler, but motivation and engagement decrease
Solution Approach 1:
The patent makes task elements dynamic by linking their physical properties to real-time physiological measurements. Task elements such as target size, position, or environmental conditions are continuously adjusted based on the subject's physiological state, creating an adaptive training experience without complex manual reconfiguration.
Solution Approach 2:
The system changes physical parameters of task elements in response to physiological measurements. By modifying parameters such as target characteristics or environmental conditions based on real-time data, the system achieves high adaptability while maintaining relatively simple configuration through automated parameter adjustment.
4Measurement precision
If physiological monitoring is integrated into task environment, then real-time feedback is improved, but system complexity increases
Solution Approach 1:
The patent uses the task environment itself as an intermediary between physiological monitoring and feedback delivery. Rather than adding separate feedback devices, the system uses existing task elements as the medium for delivering feedback, reducing overall system complexity while maintaining measurement precision.
Data Source
AI summary
The invention is an apparatus and method of biofeedback training for attaining a physiological state optimally consistent with the successful performance of a task, wherein the probability of successfully completing the task is made is inversely proportional to a physiological difference value, computed as the absolute value of the difference between at least one physiological signal optimally consistent with the successful performance of the task and at least one corresponding measured physiological signal of a trainee performing the task. The probability of successfully completing the task is made inversely proportional to the physiological difference value by making one or more measurable physical attributes of the environment in which the task is performed, and upon which completion of the task depends, vary in inverse proportion to the physiological difference value.


