IP Library › Granted Patent US 11,005,439
Granted Patent B2
US 11,005,439 · App. 16/063,259 · Granted May 11, 2021

Earphone volume adjustment method and apparatus

Inventors: Yan Li (Shenzhen, CN); Jianchun Fan (Shenzhen, CN); Yu Zhu (Shenzhen, CN)
Assignee: HUAWEI TECHNOLOGIES CO., LTD.
H03G3/32H04R1/1041H04R5/04H04R2430/01
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Quick Facts
Patent No.
US 11,005,439
App. No.
16/063,259
Granted
May 11, 2021
Kind
B2
Abstract

Embodiments of the present invention provide an earphone volume adjustment method and apparatus. The method includes: when it is detected that an intensity of external environmental noise is greater than a preset threshold, obtaining position information and/or a motion status of a user; determining a time window according to the position information and/or the motion status; and adjusting earphone volume according to an intensity of external environmental noise in the time window. According to the embodiments of the present invention, an inappropriate phenomenon such as turning up or turning down the earphone volume in a short time can be avoided, and the earphone volume can be appropriately adjusted by comprehensively considering the intensity of the external environmental noise and the position information and/or the motion status of the user. Therefore, user experience is improved.

Claims (44)

1. An earphone volume adjustment method, comprising:

when it is detected that an intensity of external environmental noise is greater than a preset threshold, obtaining position information of a user;

determining a time window according to the position information, which is specifically: determining, based on the position information, a type of an environment in which the user is located, wherein the environment type comprises a quiet environment, a noisy environment, and an unidentifiable environment; and determining the time window according to a preset correspondence between an environment type and a time window;

adjusting earphone volume according to an intensity of external environmental noise in the time window,

detecting physiological status information of the user, wherein the physiological status information comprises one or any combination of an electrocardiogram (ECG) signal characteristic, a photoplethysmography (PPG) signal characteristic, blood pressure, blood oxygen, an electromyographic signal, a facial expression, a heart rate, a body temperature, or pressure;

determining an earphone volume adjustment value corresponding to the physiological status information, wherein the earphone volume adjustment value comprises one of a weighting coefficient, an increased value, or a decreased value; and

adjusting the earphone volume by using the earphone volume adjustment value corresponding to the physiological status information.

2. The method according to claim 1 , further comprising:

obtaining a motion status of the user; and

determining the time window according to the motion status, which is specifically: determining stay duration of the user in a position according to the motion status.

3. The method according to claim 1 , wherein the adjusting earphone volume according to an intensity of external environmental noise in the time window comprises:

if an intensity of external environmental noise at a cut-off point of the time window is greater than the preset threshold, determining, according to a preset correspondence between a noise intensity and an earphone volume adjustment value, an earphone volume adjustment value corresponding to the intensity of the external environmental noise at the cut-off point of the time window; and

adjusting the earphone volume by using the earphone volume adjustment value corresponding to the intensity of the external environmental noise at the cut-off point of the time window, wherein the earphone volume adjustment value comprises one of a weighting coefficient, an increased value, or a decreased value.

4. The method according to claim 1 , wherein the adjusting earphone volume according to an intensity of external environmental noise in the time window comprises:

if an average intensity of the external environmental noise in the time window is greater than the preset threshold, determining, according to a preset correspondence between a noise intensity and an earphone volume adjustment value, an earphone volume adjustment value corresponding to the average intensity; and

adjusting the earphone volume by using the earphone volume adjustment value corresponding to the average intensity, wherein the earphone volume adjustment value comprises one of a weighting coefficient, an increased value, or a decreased value.

5. The method according to claim 1 , wherein the method further comprises:

after a preset earphone volume adjustment time, when it is detected that the intensity of the external environmental noise is less than the preset threshold, restoring the earphone volume to an unadjusted value.

6. The method according to claim 1 , wherein the method further comprises:

detecting a service type of an audio signal in an earphone; and

if the service type of the audio signal is an emergency service, decreasing a size of the time window to a preset time window value corresponding to the emergency service, wherein the emergency service comprises a call service and a preset reminder.

7. A terminal, wherein the terminal comprises a processor, a memory, and a microphone, and the microphone is configured to: collect a noise signal in an external environment, and convert the noise signal into an electrical signal;

the memory stores a program or an instruction, and the processor is configured to execute the following method by invoking the program or the instruction stored in the memory:

when detecting that an intensity of external environmental noise is greater than a preset threshold, obtaining position information of a user;

determining a time window according to the position information, which is specifically:

determining, based on the position information, a type of an environment in which the user is located, wherein the environment type comprises a quiet environment, a noisy environment, and an unidentifiable environment; and determining the time window according to a preset correspondence between an environment type and a time window; and

adjusting earphone volume according to an intensity of external environmental noise in the time window,

the processor is further configured to execute the following steps:

detecting physiological status information of the user, wherein the physiological status information comprises one or any combination of an electrocardiogram (ECG) signal characteristic, a photoplethysmography (PPG) signal characteristic, blood pressure, blood oxygen, an electromyographic signal, a facial expression, a heart rate, a body temperature, or pressure;

determining an earphone volume adjustment value corresponding to the physiological status information, wherein the earphone volume adjustment value comprises one of a weighting coefficient, an increased value, or a decreased value; and

adjusting the earphone volume by using the earphone volume adjustment value corresponding to the physiological status information.

8. The terminal according to claim 7 , further comprising a motion sensor configured to sense a motion status of a user, wherein the processor is configured to execute the following method:

determining the time window according to the motion status, which is specifically: determining stay duration of the user in a position according to the motion status.

9. The terminal according to claim 7 , wherein the adjusting earphone volume according to an intensity of external environmental noise in the time window comprises:

if an intensity of external environmental noise at a cut-off point of the time window is greater than the preset threshold, determining, according to a preset correspondence between a noise intensity and an earphone volume adjustment value, an earphone volume adjustment value corresponding to the intensity of the external environmental noise at the cut-off point of the time window; and

adjusting the earphone volume by using the earphone volume adjustment value corresponding to the intensity of the external environmental noise at the cut-off point of the time window, wherein the earphone volume adjustment value comprises one of a weighting coefficient, an increased value, or a decreased value.

10. The terminal according to claim 7 , wherein the adjusting earphone volume according to an intensity of external environmental noise in the time window comprises:

if an average intensity of the external environmental noise in the time window is greater than the preset threshold, determining, according to a preset correspondence between a noise intensity and an earphone volume adjustment value, an earphone volume adjustment value corresponding to the average intensity; and

adjusting the earphone volume by using the earphone volume adjustment value corresponding to the average intensity, wherein the earphone volume adjustment value comprises one of a weighting coefficient, an increased value, or a decreased value.

11. The terminal according to claim 7 , wherein the processor is further configured to execute the following steps:

after a preset earphone volume adjustment time, when it is detected that the intensity of the external environmental noise is less than the preset threshold, restoring the earphone volume to an unadjusted value.

12. The terminal according to claim 7 , wherein the processor is further configured to execute the following steps:

detecting a service type of an audio signal in an earphone; and

if the service type of the audio signal is an emergency service, decreasing a size of the time window to a preset time window value corresponding to the emergency service, wherein the emergency service comprises a call service and a preset reminder.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 4, 2020
From: LI, YAN; FAN, JIANCHUN; ZHU, YU
To: HUAWEI TECHNOLOGIES CO., LTD.
Reel/Frame 052556/0962 →
Priority Claims (1)
CN 201510947115.6 · Dec 16, 2015 · national
Continuity (1)
Related Publication 20200252039A1 · Aug 6, 2020
Cited By (1)
US 12,592,243