An electronic product volume intelligent automatic adjusting system based on user habit memory and environmental noise

Abstract

The application discloses an electronic product volume intelligent automatic adjusting system based on user habit memory and environmental noise, comprising a sound control sensor module, a central processing module, a volume control module and a user manual adjusting module. The system takes user manual adjustment as the main control priority, memorizes and comprehensively takes the average value of user historical manual volume as a personalized benchmark, combines with the real-time environmental noise decibel size, and automatically adjusts the volume on the basis of the benchmark. The application fully adapts to the hearing differences of different users, realizes amplification in noisy environment, reduction in quiet environment, softness at night without disturbing sleep, solves problems such as missed incoming calls, disturbance of others and disturbance of sleep, and makes the electronic product volume adjustment more personalized, intelligent and comfortable. The application can be widely applied to various electronic devices with audio playing functions such as mobile phones, vehicles, intelligent sound boxes and the like.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology for electronic products, specifically to an intelligent automatic volume adjustment system for electronic products based on user habit memory and environmental noise. Background Technology

[0002] Currently, volume control in electronic products such as mobile phones, in-vehicle devices, and smart devices mainly relies on manual adjustment by the user, which has significant shortcomings. Different users have different hearing sensitivities, and a uniform automatic volume logic cannot adapt to individual hearing habits; In noisy environments such as streets, shopping malls, and public transportation, a volume that is too low can make it difficult to hear the ringtone or hear the call clearly, and may cause you to miss important calls. In quiet environments such as meeting rooms, offices, and lunch breaks, high volume can disturb others' work and rest if the volume is not turned down in time. In a nighttime sleep environment, sudden loud noises can easily wake users up and affect sleep quality. Existing automatic volume technology mostly uses fixed threshold adjustment, which does not take into account individual differences in hearing and manual habits of users, nor does it set a manual priority mechanism, which can easily lead to problems such as uncomfortable volume, abrupt adjustment, and poor user experience. Summary of the Invention

[0003] This invention addresses the issue of existing automatic volume control systems being unpersonalized and not tailored to individual habits, taking into account the differences in hearing among different users. It provides an intelligent volume control system that is primarily controlled by manual adjustment, uses the average value of the user's historical volume habits as a benchmark, and automatically adjusts according to ambient noise. Technical solution

[0004] The system includes a voice-activated sensor module, a central processing module, a volume control module, and a user manual adjustment module.

[0005] The sound-controlled sensor module collects ambient noise in real time and converts it into a digital decibel signal. The user manual adjustment module receives user manual volume settings and uploads historical data. The central processing module remembers and integrates multiple manual volume adjustments made by the user, and calculates the average value as the baseline. The system prioritizes manual adjustment. When no new manual operation is required, it automatically adjusts up or down based on personal habits and ambient noise levels. The volume control module executes commands to smoothly and adaptively adjust all audio, including ringtones, calls, media, and in-vehicle audio. Beneficial effects

[0006] Taking into full account the differences in users' hearing, the average manual volume in a person's history is used as a benchmark to better suit individual listening habits; Manual adjustment is prioritized as the main control method, respecting direct user operation, and automatic logic does not interfere with or override manual settings. In noisy environments, the volume automatically increases from your personal level to ensure you can hear clearly; in quiet environments, it automatically decreases to avoid disturbing others. In quiet nighttime environments, the volume automatically adjusts to a gentle level to protect sleep and prevent disturbances and neurasthenia. It has the ability to learn habits, and the more you use it, the more it adapts to your personal preferences, with a significant improvement in intelligence and user-friendliness; It is suitable for various audio electronic products such as mobile phones, car in-vehicle devices, tablets, and smart speakers, and has a wide range of applications. Detailed Implementation The sound-controlled sensor module continuously collects ambient noise at a frequency of once per second.

[0007] Each time a user manually adjusts the volume, the system responds immediately and executes the adjustment, while simultaneously storing the value in the user's habit database.

[0008] The central processing module periodically calculates the average of historical manual volume as a personalized baseline for the user.

[0009] When no new manual operation is performed, the system enters automatic mode: Increased ambient noise → Automatically increase volume from the baseline; Reduced ambient noise → Automatically lowers volume from the baseline. Once the user manually adjusts again, immediately switch to manual priority and update the habit base.

[0010] The system can distinguish between ambient noise and the device's own sound, avoiding false triggers and frequent fluctuations, and the adjustment process is smooth and noiseless.

[0011] Example: A user has sensitive hearing, and their historical average manual volume is 30%. The system uses this as a benchmark: At night, the volume should be ≤20dB, and the volume should be reduced to around 3%. In the office, the volume should be maintained at around 10%, with a range of 30-40 dB. Street level 70-80dB, volume up to around 70%.

[0012] The system is designed to perfectly match the user's hearing habits, avoiding issues like excessive loudness or softness that can occur with a uniform algorithm.

Claims

1. Claim 1: An intelligent automatic volume adjustment system for electronic products based on user habit memory and environmental noise, characterized in that, It includes a voice-activated sensor module, a central processing module, a volume control module, and a user manual adjustment module; The sound-controlled sensor module collects ambient noise signals in real time and converts the noise signals into decibel values, which are then transmitted to the central processing module. The user manual adjustment module is used to receive the volume parameters manually set by the user and upload multiple historical manual adjustment data to the central processing module for storage and statistics. The central processing module is used to memorize and synthesize the average value of the user's historical manual volume adjustments, using this average value as the volume benchmark, and at the same time, it generates volume adjustment commands by combining the ambient noise level in decibels. The system prioritizes manual adjustment by the user. In the absence of new manual intervention, it automatically adjusts the volume dynamically based on the user's habits and the ambient noise level. The volume control module automatically adjusts the volume of mobile phone ringtones, call volumes, vehicle volumes, and all sound playback volumes of electronic products according to the instructions of the central processing module. When the ambient noise increases, the volume is increased synchronously on the baseline, and when the ambient noise decreases, the volume is decreased synchronously.

2. Claim 2. The system according to claim 1, characterized in that, The central processing module is divided into multiple adaptive adjustment ranges based on ambient noise levels in decibels: (1) Noise ≤ 25 decibels, corresponding to a deeply quiet scene, the volume should be adjusted down to 0% to 5% based on the user's usual level; (2) 25 dB < noise ≤ 40 dB, corresponding to office meeting scenarios, the volume should be adjusted to 6% to 15% based on the user's usual level; (3) 40 decibels < noise ≤ 65 decibels, corresponding to daily home scenarios, the volume should be adjusted to 20% to 45% based on the user's usual level; (4) 65 dB < noise ≤ 90 dB, corresponding to noisy public scenes, the volume should be adjusted to 50% to 85% based on the user's usual level; (5) Noise > 90 decibels, corresponding to extremely loud noise scenarios. The volume should be adjusted to 90% to 100% based on the user's usual level.

3. The system according to claim 1, characterized in that, The central processing module has a user volume habit memory function, which can continuously record the comfortable volume value manually set by the user multiple times, calculate and update the historical average value as the benchmark for subsequent automatic adjustment, and achieve personalized adaptation.

4. The system according to claim 1, characterized in that, The system priority is set as follows: user manual adjustment commands have higher priority than automatic adjustment commands. Once a manual adjustment operation is detected, the current automatic logic is immediately paused and the manual setting is executed. At the same time, the value is added to the habit memory library.

5. The system according to claim 1, characterized in that, The system can automatically filter out the sound played by the electronic product itself and human voice interference, and adjust the volume only according to the ambient noise, avoiding frequent volume fluctuations.