Sensor-Based Breathing Assessment for Flexible Real-Time Guidance
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Solution Overview
Problem
Existing breathwork systems lack detailed, real-time feedback and guidance, requiring users to conform to patterns communicated by coaches or recordings, limiting individualized and flexible breathing assessment.
Innovation Solution
A system and method using pose tracking systems, such as inertial measurement units, to track breathing patterns, providing real-time feedback through visual, audio, and haptic cues, allowing users to breathe without conforming to predefined patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If breathwork is guided by live coaches or audio/video recordings, then users receive breathing patterns and guidance, but the system lacks detailed real-time feedback and individualized assessment
Solution Approach 1:
The system implements real-time feedback by capturing breathing data through sensors (accelerometers, gyroscopes, microphones), analyzing the data to determine breath states (inhale, exhale, hold), and providing immediate visual, auditory, or haptic feedback to guide users. This closes the information loop between user breathing and system response, enabling continuous real-time assessment without complex manual intervention.
Solution Approach 2:
The system enables self-service breathwork by providing automated guidance through cue operations (inhale, exhale, hold cues) that users can follow independently. The system autonomously monitors compliance, tracks progress, and adjusts guidance without requiring a live coach, thereby reducing device complexity while maintaining individualized real-time feedback.
2Adaptability or versatility
If users conform to predefined breathing patterns from coaches, then structured breathwork is achieved, but flexibility and individualized assessment are limited
Solution Approach 1:
The system dynamically adapts breathing patterns by allowing users to modify cue operations (duration, intensity, type) based on real-time feedback and personal needs. The system adjusts guidance dynamically during sessions, transitioning between different breath states and pattern types (e.g., from controlled to uncontrolled breathing) based on measured parameters, thereby achieving both flexibility and measurement precision.
Solution Approach 2:
The system changes multiple parameters simultaneously to achieve individualized breathwork: it monitors breath rate, depth, rhythm, and compliance; adjusts cue timing and duration; modifies feedback intensity; and adapts pattern complexity. These parameter changes enable precise measurement while maintaining flexibility in breathing patterns.
3Measurement precision
If detailed real-time feedback is provided on breathing, then individualized breathwork assessment is achieved, but system complexity increases
Solution Approach 1:
The system segments the breathwork process into discrete cue operations (inhale cue, exhale cue, hold cue) and breath states, each with specific measurement parameters. By dividing continuous breathing into measurable segments, the system achieves detailed precision without overwhelming complexity. Each segment is independently tracked and evaluated, simplifying the overall measurement architecture.
Solution Approach 2:
The system uses multi-functional sensors (accelerometers, gyroscopes, microphones) that serve multiple purposes: detecting head position, monitoring breathing patterns, identifying breath states, and providing feedback. This universal approach reduces device complexity by consolidating functions into single components while maintaining high measurement precision across multiple parameters.
4Productivity
If pose tracking systems are used to monitor breathing, then real-time data collection is achieved, but the system requires complex data processing
Solution Approach 1:
The system performs preliminary data processing by establishing baseline breathing patterns during initial sessions and pre-defining cue operation structures. This preliminary action reduces the complexity of real-time processing by providing reference frameworks against which incoming data can be quickly compared and evaluated, thereby maintaining high productivity with simplified processing.
Solution Approach 2:
The system replaces complex mechanical data processing with algorithmic approaches: using machine learning models to interpret sensor data, automated pattern recognition to identify breath states, and computational algorithms to calculate compliance metrics. This substitution reduces processing complexity while maintaining high productivity in data collection and analysis.
Data Source
AI summary
A novel and advantageous system and method for assessing respiration is provided. Particularly, a novel and advantageous system and method for tracking and assessing respiration is provided. More particularly, a novel and advantageous system and method for guiding, tracking, and assessing respiration and providing real-time feedback on a user's breathing is provided.