Meditation Feedback System Using Physiological Score Derivation
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Solution Overview
Problem
The existing meditation guidance devices lack motivation for users to meditate repeatedly, as they do not provide feedback on meditation results, leading to reduced motivation and difficulty in achieving meditation effects.
Innovation Solution
An information processing method that acquires and analyzes physiological measures such as heartbeat interval, heart rate variability, and respiratory cycle to derive a meditative state score, providing feedback to users, thereby increasing motivation to continue meditating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If meditation guidance is provided without feedback on meditation results, then the device structure remains simple, but user motivation to meditate repeatedly decreases
Solution Approach 1:
The patent implements a feedback mechanism that provides users with scores indicating their meditative state based on physiological measures. This feedback loop allows users to see the results of their meditation practice, thereby maintaining motivation to continue meditating. The feedback is achieved by acquiring physiological data, evaluating it against reference values, and presenting the evaluation results to the user.
Solution Approach 2:
The patent introduces an intermediary evaluation system that translates complex physiological measures into simple, understandable scores. This intermediary layer processes multiple physiological parameters (heartbeat interval, heart rate variability, respiratory cycle) and converts them into a single meditative state score, making the feedback comprehensible and motivating for users without requiring them to understand the underlying physiological complexity.
2Measurement precision
If multiple physiological measures are acquired and analyzed, then the accuracy of meditative state evaluation improves, but the processing complexity increases
Solution Approach 1:
The patent segments the evaluation process into distinct steps: acquiring individual physiological measures (heartbeat interval, heart rate variability, respiratory cycle), comparing each measure against its respective reference value, and then integrating these comparisons to determine the overall meditative state score. This segmentation allows for accurate multi-parameter evaluation while keeping the processing methodology systematic and manageable.
Solution Approach 2:
The patent utilizes changes in multiple physiological parameters (heartbeat interval, heart rate variability, respiratory cycle) to evaluate meditative state. By monitoring how these parameters change and comparing them against reference values, the system achieves high measurement precision. The approach transforms complex physiological data into meaningful evaluation results by focusing on parameter changes rather than absolute values.
Data Source
AI summary
This information processing method is to be performed by a computer and includes acquiring n types (where n is an integer equal to or greater than 1) of physiological measures of a person in a state for meditation, executing determination processing that determines whether each of the acquired n types of physiological measures exceeds a threshold value corresponding to that type of physiological measure; executing derivation processing that derives a score related to a meditative state of the person on the basis of the result of the determination processing, and outputting the derived score.