Mobile Audio Noise Compensation for Transit and Helmet Use
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobile communication devices and headsets struggle to effectively compensate for ambient noise during transit, particularly in vehicles and with helmet-wearers, as they lack user customization options and consideration for vehicle and helmet types, leading to suboptimal audio reception and transmission.
Innovation Solution
A system and method that utilize a noise compensation application in mobile devices, connected to a control circuit and microphone, allowing users to define and select settings based on vehicle type, helmet type, and speed ranges to adjust amplification levels and filter out ambient noise, ensuring clear communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic noise compensation is implemented using a microphone to detect ambient noise, then the device can adjust volume levels in response to ambient noise, but the user is not given the option to adjust or customize the way in which the device will adjust for ambient noise
Solution Approach 1:
The system dynamically adjusts noise compensation parameters based on detected ambient noise levels, automatically modifying volume levels and filtering characteristics in real-time to optimize audio output under varying noise conditions
Solution Approach 2:
The system changes multiple parameters including volume level, frequency filtering, and amplification characteristics in response to detected ambient noise, allowing comprehensive customization of noise compensation behavior beyond simple volume adjustment
2Reliability
If the device adjusts volume levels based on ambient noise detection, then communication can be maintained during transit, but the device does not consider various circumstantial information such as vehicle type or helmet type which is relevant to ambient noise compensation
Solution Approach 1:
The system performs preliminary classification of the operating environment (vehicle type, helmet type, transit condition) before optimizing noise compensation parameters, allowing it to pre-configure appropriate filtering and amplification settings based on the detected context
Solution Approach 2:
The system continuously monitors ambient noise characteristics and compares them against classified environment profiles, adjusting compensation parameters in real-time based on feedback from microphone inputs and contextual information about the operating conditions
3Ease of operation
If users manually increase the device's volume setting to account for increased ambient noise, then the user can hear sounds emitted from the device, but when the user's rate of speed begins to decrease, the user will likely need to further modify the device's volume settings or maintain a volume level that may be uncomfortable
Solution Approach 1:
The system automatically monitors ambient noise levels and self-adjusts volume settings without requiring user intervention, detecting changes in noise environment and modifying output levels autonomously to maintain comfortable and clear audio reproduction
Data Source
Figure 1
Figure 2
Figure 3
AI summary
Compensating for varying degrees of ambient noise in a mobile device. One possible noise compensation application has a plurality of selectable settings (112) associated with a range of speeds of motion. This noise compensation application, when executed by the processor (106), configures the control circuit (104) to: receive an input from the detector, detect an amplitude of the input, compare the amplitude with a selected one of the settings (112), and selectively adjust an amplification device when the detected amplitude is within a prescribed range. Another possible noise compensation application has plurality of selectable settings (112) each associated with a range of audio frequencies. This noise compensation application, when executed by the processor (106), configures the control circuit (104) to: receive an input from the detector, detect a frequency of the input, compare the frequency with a selected one of the settings (112), and selectively filter the ambient noise when the detected frequency is within a prescribed range.