Connected AI-powered meditation system
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Solution Overview
Problem
Current meditation practices lack personalized feedback and environmental adjustments, which can hinder effective meditation and sleep improvement, especially in group settings and for individuals with health issues.
Innovation Solution
A connected AI-powered meditation system that includes contactless bio-sensing technology integrated into meditation surfaces, such as mats, cushions, or chairs, which monitor breathing and heart rate, providing real-time feedback and suggesting improvements, while also adjusting environmental conditions like light, sound, and temperature to enhance meditation and sleep quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If meditation is practiced without personalized feedback, then the meditation practice is simple and accessible, but the effectiveness and personalization of the meditation experience is reduced
Solution Approach 1:
The patent implements feedback loops where biosensors monitor physiological parameters (breathing rate, heart rate, skin conductance) and provide real-time feedback to users through visual or auditory signals. This feedback enables users to adjust their meditation technique to achieve deeper relaxation states, thereby improving meditation effectiveness without requiring complex manual intervention.
Solution Approach 2:
The system enables self-service meditation by automatically monitoring physiological states and providing guidance without requiring an external instructor. The meditation surface independently assesses user relaxation levels and adjusts guidance accordingly, making personalized meditation accessible without complex human intervention.
2Reliability
If group meditation is conducted without individual monitoring, then the setting is simple and social, but individual meditation quality and health considerations are compromised
Solution Approach 1:
The patent divides the group meditation system into independent sensor units embedded in meditation surfaces (mats, cushions, chairs). Each unit independently monitors the physiological state of individuals beneath it, allowing simultaneous tracking of multiple users without requiring a centralized complex monitoring system. This segmentation enables individualized attention within group settings.
Solution Approach 2:
The meditation surface units are designed to be universally applicable across different meditation settings (individual or group) and various positions (sitting, lying). The same biosensing technology serves multiple functions: monitoring breathing, heart rate, and relaxation levels across different users and contexts, reducing overall system complexity.
3Reliability
If environmental conditions are not adjusted during meditation, then the setup is simple, but meditation depth and sleep improvement are limited
Solution Approach 1:
The system performs preliminary environmental adjustments based on predicted meditation needs. Before meditation begins, the system pre-adjusts lighting, temperature, and acoustic conditions based on user profile and time of day, creating optimal conditions without requiring complex real-time adjustments during the meditation session.
Solution Approach 2:
Environmental controls are integrated with biosensors to create closed-loop feedback systems. As users progress through meditation stages, the system automatically adjusts environmental parameters (dimming lights, adjusting temperature, modifying ambient sound) based on real-time physiological feedback, enhancing meditation depth without manual intervention.
Data Source
AI summary
A meditation system comprising a meditation surface including a contactless bio-sensor and a processor to analyze data from the contactless bio-sensor, to determine meditation results including a user's respiration, heart rate, and meditation quality, the processor further to calculate a recommendation to the user based on the meditation results. The system further comprising a user interface to display the meditation results and the recommendation.