Wearable Voice Communication With Ambient Noise Filtering
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Solution Overview
Problem
Recreational vehicle users face challenges in communicating effectively due to ambient noise interference from engine, tire, and wind sounds, which hinder voice reception and detection during rides, and existing solutions do not adequately address the need for efficient noise cancellation and communication channel establishment.
Innovation Solution
A wearable device equipped with an exterior microphone, processor, and speaker that performs active noise control using machine learning algorithms to filter ambient noise, and a method for establishing communication channels with recreational vehicles using proximity detection via radiofrequency, magnetic, and sound waves, enabling efficient voice reception and communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If microphones are used to capture user's voice during rides, then voice communication is enabled, but ambient noise (engine noise, tire noise, wind noise) is also captured reducing voice clarity
Solution Approach 1:
The audio signal from the microphone is segmented into different frequency components using Fast Fourier Transform (FFT). This allows the system to identify and separate voice frequencies from ambient noise frequencies, enabling selective filtering of harmful noise while preserving the user's voice for clear communication
Solution Approach 2:
A processor acts as an intermediary between the microphone and the communication system. The processor analyzes the audio signal, identifies ambient noise patterns, and applies filtering algorithms to remove noise before the signal is transmitted or processed further, thereby mediating between the noisy environment and the communication requirement
2Measurement precision
If noise filtering is applied to enhance voice clarity, then voice reception quality is improved, but processing time and computational resources are increased
Solution Approach 1:
The system performs preliminary analysis of the audio signal to identify ambient noise patterns before the actual voice detection and filtering process. By pre-characterizing the noise environment, the system can apply more efficient filtering algorithms during voice communication, reducing real-time processing requirements while maintaining high voice detection precision
Solution Approach 2:
The system dynamically adjusts filtering parameters based on the detected ambient noise characteristics. By changing filter strength, frequency ranges, and processing intensity according to the actual noise level, the system optimizes the balance between voice detection precision and processing time, applying stronger filtering only when necessary
3Reliability
If communication channels are established with recreational vehicles using multiple detection methods, then communication reliability is improved, but device complexity is increased
Solution Approach 1:
The wearable device incorporates multiple detection capabilities (radiofrequency detection, magnetic field detection, and sound wave detection) within a single integrated system. This multi-functional approach allows the device to establish communication channels through various physical phenomena, ensuring reliable communication in diverse environmental conditions while consolidating detection functions into one device
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
The wearable device effectively filters ambient noise, enhancing voice clarity and establishing reliable communication channels with recreational vehicles, thereby improving user communication and navigation experiences.
Implementation Method 1
receive audio input signals from an exterior microphone of the wearable device
Implementation Method 2
detect ambient noise from the audio input signals... detecting ambient noise using machine learning algorithms
Implementation Method 3
deliver the filtered audio signals to the user via a speaker of the wearable device
Implementation Method 4
detect a recreational vehicle that is in a range of the communication device... detecting using at least one of radiofrequency fields
Implementation Method 5
detect a recreational vehicle that is in a range of the communication device... detecting using at least one of radiofrequency fields, magnetic fields
Data Source
AI summary
Systems and methods for communicating information related to a wearable device are disclosed. Exemplary information includes audio information.


