Automatic Music Selection via Respiratory Rate Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users need to manually select music during exercise, which is inconvenient and impacts the user experience.
Innovation Solution
A music automatic selection device and method that analyzes a user's respiratory rate to automatically select music with a corresponding beats per minute (BPM) to match the user's rhythm, using a processor to process background and ambient sounds to isolate breathing sounds and calculate respiratory rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual music selection through wearable devices is used, then users can control music playback, but user convenience deteriorates and operation complexity increases during exercise
Solution Approach 1:
The system automatically selects music by detecting the user's respiratory rate through the microphone and processing audio signals, eliminating the need for manual user input. The device serves itself by autonomously analyzing breathing sounds and matching music BPM to the detected respiratory rate, thereby improving ease of operation during exercise.
Solution Approach 2:
The patent replaces manual mechanical operations (button pressing, menu navigation) with an automated acoustic detection system. The microphone captures respiratory sounds, and signal processing algorithms automatically determine the appropriate music tempo, substituting physical user interactions with electronic sensing and computational analysis.
2Extent of automation
If respiratory rate detection is implemented to enable automatic music selection, then music selection automation improves, but device complexity and processing requirements increase
Solution Approach 1:
The system extracts the specific acoustic feature of respiratory rate from the complex audio environment by using the microphone to capture breathing sounds and applying signal processing to isolate these features from other ambient noises, enabling automation without requiring complex full-spectrum audio analysis.
Solution Approach 2:
The patent focuses on detecting changes in acoustic parameters (frequency, amplitude, timing) of respiratory sounds to determine respiratory rate. By monitoring parameter variations in the audio signal rather than analyzing the entire sound spectrum, the system achieves automation with manageable processing complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the smoothness of body movement during exercise by providing music that matches the user's rhythm, eliminating the need for manual music selection.
Implementation Method 1
generating a respiratory rate by a processor detecting a breathing sound of the noise reduction
Data Source
AI summary
A music automatic selection method includes: receiving a pre-recorded background sound and a real-time ambient sound by a processor; generating a noise reduction according to the pre-recorded background sound and the real-time ambient sound by the processor; generating a respiratory rate by the processor detecting a breathing sound in the noise reduction; and selecting a music according to the respiratory rate by the processor, wherein beats per minute (BPM) of the music corresponds to the respiratory rate.