Wireless Earphones Spectrogram Analysis for Safety Warning
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Solution Overview
Problem
Conventional wireless earphones make it difficult for users to notice safety-affecting situations in their peripheral environment due to louder sound emission, masking ambient noises.
Innovation Solution
A wearable device with paired wireless earphones that convert external sound signals into spectrograms, using a VGG training model to identify moving objects and emit a warning sound when objects are within a predetermined unsafe region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If wireless earphones emit louder sound, then audio playback quality is improved, but user awareness of peripheral environment deteriorates
Solution Approach 1:
The audio signal is segmented into different frequency components through spectrogram analysis. The system separates music signals from ambient sounds by analyzing frequency spectra, allowing selective processing of different sound components to preserve ambient information while maintaining audio quality
Solution Approach 2:
The patent introduces an intermediary processing system that includes a sound receiver, signal converting circuit, and judging circuit. This intermediary system captures ambient sounds, analyzes their spectrograms, identifies objects based on sound characteristics, and generates warning signals without directly interfering with the music playback path
2Power
If sound intensity is increased, then listening experience is improved, but safety monitoring capability deteriorates
Solution Approach 1:
The sound receiver continuously captures ambient sounds in real-time, and the judging circuit continuously analyzes spectrograms and identifies objects. This continuous monitoring ensures that safety-critical events are detected without interruption, maintaining reliable safety monitoring regardless of music playback intensity
Solution Approach 2:
The system provides feedback to the user through warning signals when potential safety hazards are detected. The speaker outputs warning sounds based on object identification results, creating a feedback loop that informs users of environmental hazards while music playback continues
3Measurement precision
If ambient sound reception is enhanced for safety monitoring, then safety awareness is improved, but music listening quality deteriorates
Solution Approach 1:
The system applies different processing qualities to different sound sources. Music signals receive high-quality audio processing for optimal listening experience, while ambient sounds receive enhanced processing for accurate identification. The judging circuit selectively enhances analysis of specific frequency ranges associated with potential hazards
Solution Approach 2:
The system performs partial analysis of the full audio spectrum by focusing on specific frequency ranges and time windows that are most relevant for safety monitoring. This selective analysis maintains music quality while providing sufficient ambient sound detection capability for safety purposes
4Reliability
If object identification and warning systems are added, then safety monitoring is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary actions by continuously capturing and pre-processing ambient sounds through the sound receiver and signal converting circuit before actual object identification is needed. Spectrograms are generated in advance, and the judging circuit maintains readiness to identify objects, reducing processing delays when hazards appear
Solution Approach 2:
The system creates a spectral copy of ambient sounds through spectrogram analysis. Instead of directly processing complex raw audio signals for identification, the system works with compressed spectral representations that capture essential characteristics while reducing computational 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 user safety by providing immediate warning signals when surroundings may affect safety, allowing users to be aware of potential hazards while listening to music.
Implementation Method 1
a sound receiver, and a signal converting circuit. The sound receiver is configured to continuously receive an external sound generated from a peripheral object in movement so as to obtain an input signal
Implementation Method 2
the speaker of at least one of the two wireless earphones emits a warning sound
Implementation Method 3
The signal converting circuit is configured to convert the input signal from the sound receiver into a target spectrogram
Data Source
AI summary
A wearable device and a portable apparatus are provided. The wearable device includes two wireless earphones each including a speaker, a sound receiver for receiving sound from a peripheral object, and a signal converting circuit that is electrically coupled to the sound receiver and is configured to convert input signal from the sound receiver into a target spectrogram. The two spectrograms from the signal converting circuits have a time/phase difference, and at least one wireless earphone includes a storage unit and a judging circuit that is electrically coupled to the storage unit, the two signal converting circuits, and the two speakers. The judging circuit is configured to compare any target spectrogram with basic spectrograms of the storage unit so as to determine which kind of objects the peripheral object is, and is configured to obtain an instant position of the peripheral object by the time/phase difference.


