CN104267923B - Music awakening method and mobile equipment - Google Patents
Music awakening method and mobile equipment Download PDFInfo
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- CN104267923B CN104267923B CN201410473133.0A CN201410473133A CN104267923B CN 104267923 B CN104267923 B CN 104267923B CN 201410473133 A CN201410473133 A CN 201410473133A CN 104267923 B CN104267923 B CN 104267923B
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Abstract
The invention discloses a music awakening method, which comprises the following steps: acquiring the frequency range of the brain waves of a user through an induction device worn by the user within preset acquisition time; judging whether the frequency range of the brain waves is within an effective frequency range; if the frequency range of the brain waves is within the effective range, judging the sleep level of the user according to the frequency range of the brain waves; searching a preset list according to the sleep level to acquire songs of the music style corresponding to the sleep level; playing the song within a preset time to wake up the user. The invention also discloses a mobile device. Through the mode, the music awakening method can identify the sleep level of the user through brain waves, and songs with different music styles are selected as the alarm to awaken the user according to the sleep level.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a music wake-up method and a mobile device using the same.
Background
The current society develops faster and faster, and the degree of combination of internet technology and electronic technology is also higher and higher. The requirements for intellectualization and humanization of mobile devices are also increasing, and more functions are integrated in the mobile devices.
In each mobile device, an alarm function is provided, and most users can use the alarm function of the mobile device, especially users of a working family, and in order to get up early, an alarm is set every day to wake up the user to get up to work on time, which is undoubtedly an essential device for the early-rising users.
However, the alarm sound of the mobile device is set by the user, and once the alarm sound is set, the mobile device can turn on the alarm function on time and play the alarm sound set by the user. The alarm set by the user can be played no matter how the sleep state of the user is, for example, the user suddenly hears some alarm of a song in a rock and roll music style when making nightmare, which easily gives the user a sense of incongruity and affects the mood of the user when getting up. In addition, when the alarm sound needs to be changed, the user can only manually set other alarm sounds, so that the user experience is reduced.
In summary, it is necessary to provide a music wake-up method and a mobile device applying the same to solve the above problems.
Disclosure of Invention
The invention mainly solves the technical problem of providing a music awakening method and mobile equipment, which can automatically select songs with different music styles as alarm tones to awaken a user according to the sleep condition of the user.
In order to solve the technical problems, the invention adopts a technical scheme that: there is provided a method of musical wake-up, the method comprising: acquiring the frequency range of the brain waves of a user through an induction device worn by the user within preset acquisition time; judging whether the frequency range of the brain waves is within an effective frequency range; if the frequency range of the brain waves is within the effective range, judging the sleep level of the user according to the frequency range of the brain waves; searching a preset list according to the sleep grade to acquire songs of the music style corresponding to the sleep grade as an alarm sound; and starting the alarm function and playing the song within the preset time so as to wake up the user.
Wherein the effective frequency range is 0.1-35 Hz; judging whether the frequency range of the brain waves is within the effective frequency range comprises the following steps: judging whether the frequency range of the brain waves is within the range of 0.1-35 Hz per second; if the frequency range of the brain wave is within the range of 0.1-35 Hz per second, the frequency range of the brain wave is within the effective range.
The sleep grade comprises a first sleep grade, a second sleep grade and a third sleep grade, wherein the frequency range of the brain waves corresponding to the first sleep grade is within the range of 0.1-3Hz per second, the frequency range of the brain waves corresponding to the second sleep grade is within the range of 3-13Hz per second, and the frequency range of the brain waves corresponding to the third sleep grade is within the range of 13-35Hz per second.
Wherein the preset list comprises: songs of a first music style corresponding to the first sleep level, songs of a second music style corresponding to the second sleep level, and songs of a third music style corresponding to the third sleep level.
The method for searching the preset list according to the sleep level to acquire the song with the music style corresponding to the sleep level as the alarm sound comprises the following steps: if the sleep level is the first sleep level, acquiring a song with a first music style as an alarm sound; if the sleep level is a second sleep level, acquiring songs in a second music style as an alarm sound; and if the sleep grade is the third sleep grade, acquiring the song with the third music style as the alarm sound.
In order to solve the technical problem, the invention adopts another technical scheme that: there is provided a mobile device, comprising: the information acquisition module is used for acquiring the frequency range of the electroencephalogram of the user through the induction device worn by the user within the preset acquisition time; the data judgment module is connected with the information acquisition module and is used for judging whether the frequency range of the brain waves is within the effective frequency range; the sleep state judging module is connected with the data judging module and is used for judging the sleep grade of the user according to the frequency range of the brain waves when the data judging module judges that the frequency range of the brain waves is in the effective frequency range; the song acquisition module is connected with the sleep state judgment module and used for searching a preset list according to the sleep grade so as to acquire a song with a music style corresponding to the sleep grade as an alarm sound; and the song playing module is connected with the song acquisition module and used for starting the alarm function and playing the song within preset time so as to wake up the user.
Wherein the effective frequency range is 0.1-35 Hz; the data judgment module is used for judging whether the frequency range of the brain waves is within the range of 0.1-35 Hz per second; and the data judgment module judges that the frequency range of the brain waves is in an effective range when judging that the frequency range of the brain waves is in a range of 0.1-35 Hz per second.
The sleep grade comprises a first sleep grade, a second sleep grade and a third sleep grade, wherein the frequency range of the brain waves corresponding to the first sleep grade is within the range of 0.1-3Hz per second, the frequency range of the brain waves corresponding to the second sleep grade is within the range of 3-13Hz per second, and the frequency range of the brain waves corresponding to the third sleep grade is within the range of 13-35Hz per second.
Wherein the preset list comprises: songs of a first music style corresponding to the first sleep level, songs of a second music style corresponding to the second sleep level, and songs of a third music style corresponding to the third sleep level.
If the sleep state judging module judges that the sleep level is a first sleep level, the song acquiring module acquires a song with a first music style as an alarm sound; if the sleep state judging module judges that the sleep level is the second sleep level, the song acquiring module acquires a song of a second music style as an alarm sound; and if the sleep state judging module judges that the sleep level is the third sleep level, the song acquiring module acquires a song in the third music style as the alarm sound.
The invention has the beneficial effects that: different from the situation of the prior art, the music awakening method provided by the invention has the advantages that the frequency range of the electroencephalogram of the user is acquired through the induction device worn by the user within the preset acquisition time; judging whether the frequency range of the brain waves is within an effective frequency range; if the frequency range of the brain waves is within the effective range, judging the sleep level of the user according to the frequency range of the brain waves; searching a preset list according to the sleep level to acquire songs of the music style corresponding to the sleep level; playing the song within a preset time to wake up the user. Through the mode, the music awakening method can identify the sleep level of the user through the brain waves, and select songs with different music styles as the alarm to awaken the user according to the sleep level, so that the mood of the user can be pleased, and the experience of the user is effectively improved.
Drawings
FIG. 1 is a flowchart illustrating a music wake-up method according to a first embodiment of the present invention;
FIG. 2 is a flowchart illustrating a music wake-up method according to a second embodiment of the present invention;
FIG. 3 is a flowchart illustrating a music wake-up method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of the mobile device of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and embodiments.
As shown in fig. 1, fig. 1 is a flowchart illustrating a music wake-up method according to a first embodiment of the present invention. The method comprises the following steps:
step S101: and acquiring the frequency range of the brain waves of the user through an induction device worn by the user within preset acquisition time.
In step S101, the preset collection time is a value set by the user, and the collection time is preferably 30S (seconds), and if the collection time for the sensing device to collect the brain waves of the user is less than 30S, the frequency range of the brain waves of the user needs to be obtained again through the sensing device worn by the user.
It is noted that before step S101, it is also determined whether the user is in a sleep state within a preset time period, and preferably, by detecting whether the user moves (such as turning over, moving hands and feet, or opening eyes) within the preset time period, if the user does not move within the preset time period, it is proved that the user is asleep and is in the sleep state. If the user is detected to have no turning movement, no swinging of hands and feet or eye closing within a preset time period, the user is proved to be asleep; when the user is detected to frequently send turning actions, the hands and the feet swing up and down or the eyes are opened to observe the surroundings in a preset time period, the user is not asleep. In addition, after the user is in the sleep state, whether the standard time is close to the preset alarm time needs to be judged again, if not, the step S101 is not executed, and therefore power consumption can be saved; if so, step S101 is performed. Certainly, when the user is not in the sleep state, the user is also known to be at rest at the moment, in order to enable the user to get up on time and hear the alarm sound with pleasant mood when getting up, the alarm function is continuously executed, that is, whether the standard time is close to the preset alarm time is continuously judged, if not, the step S101 is not executed, so that the power consumption can be saved; if so, step S101 is performed. If the alarm preset time is 2 pm: 00, and standard hours (i.e., beijing hours) are 1: 00, the alarm clock is far away from the preset time of the alarm clock, and the step S101 is not required to be executed, so that the power consumption can be saved; when the standard time is 1 in the afternoon: at 40, it is explained that the alarm is close to the preset alarm time, and step S101 needs to be executed.
Step S102: and judging whether the frequency range of the brain waves is within the effective frequency range.
In step S102, the effective frequency range of the user' S brain waves is 0.1-35 Hz. Wherein, the frequency range of the brain wave is within the effective range by judging whether the frequency range of the brain wave is within the range of 0.1-35 Hz per second or not and if the frequency range of the brain wave is within the range of 0.1-35 Hz per second. If the frequency range of the brain waves is not within the range of 0.1-35 Hz per second, the frequency range of the brain waves of the user needs to be obtained again through the induction device worn by the user.
Step S103: and if the frequency range of the brain waves is within the effective range, judging the sleep level of the user according to the frequency range of the brain waves.
In the embodiment, the effective frequency range of the brain waves is divided into 0.1-3Hz, 3-13Hz and 13-35Hz, and when the frequency range of the brain waves is between 0.1-3Hz, the person is in an extreme fatigue or lethargy state at the moment; when the frequency range of the brain waves is 3-13Hz, the person is in a quiet and non-stimulated state at the moment; when the frequency range of the brain wave is 13-35Hz, the person is in a state of tension or dysphoria at the moment. The sleep levels include a first sleep level, a second sleep level, and a third sleep level. Wherein the frequency range of the brain waves corresponding to the first sleep level is within the range of 0.1-3Hz per second, the frequency range of the brain waves corresponding to the second sleep level is within the range of 3-13Hz per second, and the frequency range of the brain waves corresponding to the third sleep level is within the range of 13-35Hz per second.
Step S104: and searching a preset list according to the sleep grade to acquire the song with the music style corresponding to the sleep grade as the alarm sound.
In step S104, the preset list includes songs of the first music style corresponding to the first sleep level, songs of the second music style corresponding to the second sleep level, and songs of the third music style corresponding to the third sleep level. Wherein the songs of the first music style are preferably songs of a light music style, the songs of the second music style are preferably songs of a rock music style, and the songs of the third music style are preferably songs of a lyric music style.
In this embodiment, if the sleep level is the first sleep level, the song with the first music style is obtained as the alarm sound. And if the sleep level is the second sleep level, acquiring the song with the second music style as the alarm sound. And if the sleep grade is the third sleep grade, acquiring the song with the third music style as the alarm sound.
Step S105: and starting the alarm function and playing the song within the preset time so as to wake up the user.
For example, when the frequency range of the brain waves of the user is 0.1-3Hz per second, it indicates that the sleeping user or the non-sleeping user is in an extremely tired or sleepy state, so that the sleep grade of the user is acquired as a first sleep grade, and a song with a light music style is automatically selected as an alarm sound, so that the user can enjoy the mood of the user when hearing the alarm sound of the song with the light music style, and the fatigue of the user is reduced. When the frequency range of the brain waves of the user is 3-13Hz per second, the sleeping user or the user who does not sleep at the moment is in a quiet and non-stimulated state, so that the sleep grade of the user is acquired to be a second sleep grade, and the song with the rock and roll music style is automatically selected as the alarm sound, so that the user can hear the alarm sound of the song with the rock and roll music style more mentally. When the frequency range of the electroencephalogram wave of the user is 13-35Hz per second, the sleeping user or the non-sleeping user is in a nervous or dysphoric state, so that the sleeping level of the user is obtained as a third sleeping level, and the song with the lyric music style is automatically selected as the alarm sound, so that the user can relax mood or reduce dysphoria when hearing the alarm sound of the song with the lyric music style, as shown in the following table I.
Watch 1
Of course, in other embodiments, the sleep levels are divided into a first sleep level and a second sleep level, the first sleep level corresponding to a frequency range of the brain waves of 13-35Hz per second or 0.1-3Hz per second, and the second sleep level corresponding to a frequency range of the brain waves of 3-13Hz per second. Selecting songs with lyric music styles or songs with light music styles as alarm tones in the first sleep level, wherein the songs with lyric music styles and the songs with light music styles can relieve the mood of the user. And selecting songs with the rock music style as the alarm sound at the second sleep level, wherein the songs with the rock music style can enable the user to play spirits.
According to the embodiment, the sleep grade of the user can be judged through the brain waves, and the music style songs corresponding to the sleep grade are selected as the alarm sound according to the sleep grade, so that the alarm sound for waking up the user can be pleasant to the mood of the user.
Fig. 2 is a flowchart illustrating a music wake-up method according to a second embodiment of the present invention, as shown in fig. 2. The method comprises the following steps:
step S201: and acquiring the frequency range and the heart rate range of the brain waves of the user.
In step S201, a frequency range and a heart rate range of the brain wave of the user are acquired through a sensing device worn by the user within a preset acquisition time.
It is noted that before step S201, it is also determined whether the user is in a sleep state within a preset time period, and preferably, by detecting whether the user moves (such as turning over, moving hands and feet, or opening eyes) within the preset time period, if the user does not move within the preset time period, it is proved that the user is asleep and is in the sleep state. In addition, after the user is in the sleep state, whether the standard time is close to the preset alarm time needs to be judged again, if not, the step S201 is not executed, and therefore power consumption can be saved; if so, step S201 is performed.
Step S202: and judging whether the frequency range and the heart rate range of the brain waves of the user are in the effective range.
In step S202, the effective frequency range of the brain wave of the user is 0.1-35 Hz, and the effective frequency range of the heart rate range of the user is 40-150 times/min. If the frequency range of the brain wave of the user is within the range of 0.1-35 Hz per second and the effective frequency range of the heart rate range of the user is within 40-200 times/min, the frequency range and the heart rate range of the brain wave are within the effective range; otherwise, returning to step S201, the brain waves and the heart rate value need to be obtained again through the sensing device worn by the user.
Step S203: and judging the sleep level of the user according to the frequency range and the heart rate range of the brain waves.
In the embodiment, the effective frequency range of the brain waves is divided into 0.1-3Hz, 3-13Hz and 13-35Hz, and when the frequency range of the brain waves is between 0.1-3Hz, the person is in an extreme fatigue or lethargy state at the moment; when the frequency range of the brain waves is 3-13Hz, the person is in a quiet and non-stimulated state at the moment; when the frequency range of the brain wave is 13-35Hz, the person is in a state of tension or dysphoria at the moment. The effective frequency range of the heart rate range of the user is divided into 40-80 times/min, 80-120 times/min and 120-150 times/min. When the heart rate of the user is in the range of 40-80 times/min, the person is in a quiet sleep state at the moment, and the heart rate is stable; when the heart rate range of the user is 80-120 times/min, the user is in a tense state at the moment and dreams are made; when the heart rate range of the user is at 120-. The sleep levels include a first sleep level, a second sleep level, and a third sleep level. When the frequency range of the brain wave is within the range of 0.1-3Hz per second or/and the heart rate range is within 150 times/min 120-; when the frequency range of the brain waves is within the range of 3-13Hz per second or/and the heart rate range is within 40-80 times/min, judging that the user is at a second sleep level; and when the frequency range of the brain waves is within the range of 13-35Hz per second or/and the heart rate range is within 80-120 times/min, judging that the user is at a third sleep level, as shown in the following table II.
Watch two
Step S204: and searching a preset list according to the sleep grade to acquire the song with the music style corresponding to the sleep grade as the alarm sound.
In step S204, if the sleep level is the first sleep level, a song of the first music style is obtained as the alarm sound, that is, a song of the light music style is obtained as the alarm sound. And if the sleep grade is the second sleep grade, acquiring the song in the second music style as the alarm sound, namely acquiring the song in the rock music style as the alarm sound. If the sleep level is the third sleep level, the song in the third music style is obtained as the alarm sound, that is, the song in the lyric music style is obtained as the alarm sound.
Step S205: and starting the alarm function and playing the song within the preset time so as to wake up the user.
According to the embodiment, the sleep grade of the user can be judged through the heart rate value or the brain wave, or the sleep grade of the user can be judged through the heart rate value and the brain wave together, and the music style song with the sleep grade is selected as the alarm sound according to the sleep grade, so that the alarm sound for waking up the user can be pleasant to the mood of the user.
Fig. 3 is a flowchart illustrating a music wake-up method according to a third embodiment of the present invention, as shown in fig. 3. The method comprises the following steps:
step S301: and acquiring the frequency range and the blood oxygen saturation of the brain waves of the user.
In step S301, the frequency range and the blood oxygen saturation of the brain wave of the user are acquired by the sensing device worn by the user within a preset acquisition time.
It is noted that before step S301, it is also determined whether the user is in a sleep state within a preset time period, and preferably, by detecting whether the user moves (such as turning over, moving hands and feet, or opening eyes) within the preset time period, if the user does not move within the preset time period, it is proved that the user is asleep and is in the sleep state. In addition, after the user is in the sleep state, whether the standard time is close to the preset alarm time needs to be judged again, if not, the step S301 is not executed, and therefore power consumption can be saved; if so, step S301 is performed.
Step S302: and judging whether the frequency range and the blood oxygen saturation of the brain waves of the user are in the effective range.
In step S302, the effective frequency range of the electroencephalogram of the user is 0.1 to 35Hz, the blood oxygen saturation of the user is the arterial blood oxygen saturation, and the effective range of the normal arterial blood oxygen saturation is 95 to 100%. If the frequency range of the electroencephalogram of the user is within the range of 0.1-35 Hz per second and the arterial oxygen saturation of the user is within 95-100%, the frequency range of the electroencephalogram and the arterial oxygen saturation are within an effective range; otherwise, returning to step S301, the brain waves and the blood oxygen saturation level need to be obtained again through the sensing device worn by the user.
Step S303: and judging the sleep level of the user according to the frequency range of the brain waves and the blood oxygen saturation.
In the embodiment, the sleep grade is divided into a first sleep grade and a second sleep grade, the frequency range of brain waves corresponding to the first sleep grade is 13-35Hz per second or 0.1-3Hz per second, and the corresponding blood oxygen saturation is not in the range of 95-100%; the frequency range of the brain wave corresponding to the second sleep grade is 3-13Hz per second, and the corresponding blood oxygen saturation is 95-100%.
Step S304: and searching a preset list according to the sleep grade to acquire the song with the music style corresponding to the sleep grade as the alarm sound.
When the frequency range of the brain waves of the user is 13-35Hz per second, 0.1-3Hz per second or/and the arterial oxygen saturation is not in the range of 95-100%, judging that the sleep level of the user is a first sleep level, and acquiring songs in a light music style or songs in a lyric music style as an alarm sound; when the user's brain wave frequency range is 3-13Hz per second or/and the second sleep level is when the arterial oxygen saturation is in the range of 95-100%, a song in the rock music style is acquired as an alarm sound, as shown in table three below.
Watch III
Step S305: and starting the alarm function and playing the song within the preset time so as to wake up the user.
According to the embodiment, the sleep level of the user can be judged through the arterial oxygen saturation or the brain wave, or the sleep level of the user can be judged through the arterial oxygen saturation and the brain wave together, and the music-style song with the sleep level is selected as the alarm sound according to the sleep level, so that the alarm sound for waking up the user can be pleasant to the mood of the user.
Fig. 4 is a schematic structural diagram of a mobile device according to the present invention, and the mobile device in fig. 4 corresponds to the music wake-up method in fig. 1-3. The mobile device comprises an information acquisition module 11, a data judgment module 12, a sleep state judgment module 13, a song acquisition module 14 and a song playing module 15.
The information acquiring module 11 is configured to acquire a frequency range of the brain waves of the user through a sensing device (not shown) worn by the user within a preset acquiring time.
The data judging module 12 is connected to the information acquiring module 11 and is configured to judge whether the frequency range of the electroencephalogram is within the effective frequency range.
In this embodiment, the effective frequency range of the brain waves is 0.1-35 Hz. The data judging module 12 is used for judging whether the frequency range of the brain waves is within the range of 0.1-35 Hz per second; the data judging module 12 judges that the frequency range of the brain wave is in the effective range when judging that the frequency range of the brain wave is in the range of 0.1-35 Hz per second.
Of course, in other embodiments, the data determination module 12 is further configured to determine whether the heart rate of the user ranges from 40 to 150 times/min and whether the arterial oxygen saturation of the user is 95 to 100%; the data judgment module 12 judges the heart rate range and the blood oxygen saturation level of the user to be in the effective range when judging the heart rate range of the user to be 40-150 times/min and judging the arterial blood oxygen saturation level of the user to be 95-100%.
The sleep state judging module 13 is connected to the data judging module 12, and is configured to judge the sleep level of the user according to the frequency range of the brain wave when the data judging module 12 judges that the frequency range of the brain wave is within the effective frequency range.
In this embodiment, the sleep levels include a first sleep level, a second sleep level, and a third sleep level, wherein the frequency range of the brain waves corresponding to the first sleep level is within a range of 0.1 to 3Hz per second, the frequency range of the brain waves corresponding to the second sleep level is within a range of 3 to 13Hz per second, and the frequency range of the brain waves corresponding to the third sleep level is within a range of 13 to 35Hz per second.
Of course, in other embodiments, the first sleep level corresponds to a heart rate range of the user of 120-; the second sleep level corresponds to the heart rate range of the user at 40-80 times/min; the third sleep level corresponds to a heart rate range of 80-120 times/min for the user.
Of course, in other embodiments, the sleep levels include a first sleep level and a second sleep level, the first sleep level corresponding to a user's brain wave frequency range of 13-35Hz per second, 0.1-3Hz per second, or/and an arterial oxygen saturation level not in the range of 95-100%; the second sleep level corresponds to a user's brain wave frequency range of 3-13Hz per second or/and arterial oxygen saturation in the range of 95-100%.
The song obtaining module 14 is connected to the sleep state determining module 13, and is configured to search a preset list according to the sleep level, so as to obtain a song with a music style corresponding to the sleep level as an alarm.
In this embodiment, the preset list includes songs of a first music style corresponding to the first sleep level, songs of a second music style corresponding to the second sleep level, and songs of a third music style corresponding to the third sleep level. If the sleep state judgment module 13 judges that the sleep level is the first sleep level, the song acquisition module 14 acquires a song of a first music style as an alarm sound; if the sleep state judgment module 13 judges that the sleep level is the second sleep level, the song acquisition module 14 acquires a song of the second music style as an alarm sound; if the sleep state determining module 13 determines that the sleep level is the third sleep level, the song obtaining module 14 obtains the song of the third music style as the alarm sound. Wherein the songs of the first music style are songs of a light music style; the songs of the second music style are songs of a rock music style; the song in the third music style is a song in the lyric music style. Of course, the present invention is not limited to songs of the above music genre.
Of course, in other embodiments, the preset list includes songs of a first music genre corresponding to the first sleep level and songs of a second music genre corresponding to the second sleep level. The songs in the first music style are songs in a light music style or songs in a lyric music style, and the songs in the second music style are songs in a rock music style.
The song playing module 15 is connected to the song obtaining module 14, and is configured to turn on the alarm function and play the song within a preset time, so as to wake up the user.
In summary, in the music awakening method of the present invention, the frequency range of the electroencephalogram wave of the user is acquired through the sensing device worn by the user within the preset acquisition time; judging whether the frequency range of the brain waves is within an effective frequency range; if the frequency range of the brain waves is within the effective range, judging the sleep level of the user according to the frequency range of the brain waves; searching a preset list according to the sleep level to acquire songs of the music style corresponding to the sleep level; playing the song within a preset time to wake up the user. Through the mode, the music awakening method can identify the sleep level of the user through the brain waves, and select songs with different music styles as the alarm to awaken the user according to the sleep level, so that the mood of the user can be pleased, and the experience of the user is effectively improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method of musical wakeup, the method comprising:
acquiring the frequency range of the electroencephalogram of a user through an induction device worn by the user within preset acquisition time;
the preset acquisition time is a value set by the user, and if the acquisition time for acquiring the brain waves of the user by the sensing device is lower than the value set by the user, the frequency range of the brain waves of the user needs to be acquired again by the sensing device worn by the user;
judging whether the frequency range of the brain waves is within an effective frequency range;
if the frequency range of the brain waves is within the effective range, judging the sleep level of the user according to the frequency range of the brain waves;
searching a preset list according to the sleep grade to obtain a song with a music style corresponding to the sleep grade as an alarm sound;
and starting an alarm function within preset time and playing the song so as to wake up the user.
2. The method of claim 1,
the effective frequency range is 0.1-35 Hz;
the judging whether the frequency range of the brain wave is in the effective frequency range comprises the following steps:
judging whether the frequency range of the brain waves is within the range of 0.1-35 Hz per second or not;
and if the frequency range of the electroencephalogram is within the range of 0.1-35 Hz per second, the frequency range of the electroencephalogram is within the effective range.
3. The method of claim 2, wherein the sleep levels comprise a first sleep level, a second sleep level, and a third sleep level, wherein the first sleep level corresponds to a frequency range of the brain waves within a range of 0.1-3Hz per second, the second sleep level corresponds to a frequency range of the brain waves within a range of 3-13Hz per second, and the third sleep level corresponds to a frequency range of the brain waves within a range of 13-35Hz per second.
4. The method of claim 3, wherein the preset list comprises: songs of a first music style corresponding to the first sleep level, songs of a second music style corresponding to the second sleep level, and songs of a third music style corresponding to the third sleep level.
5. The method of claim 4, wherein the searching the preset list according to the sleep level to obtain the music style song corresponding to the sleep level as the alarm sound comprises:
if the sleep grade is the first sleep grade, acquiring the song with the first music style as an alarm sound;
if the sleep grade is the second sleep grade, acquiring the song of the second music style as an alarm sound;
and if the sleep grade is the third sleep grade, acquiring the song of the third music style as an alarm.
6. A mobile device, characterized in that the mobile device comprises:
the information acquisition module is used for acquiring the frequency range of the electroencephalogram of the user through an induction device worn by the user within preset acquisition time;
the preset acquisition time is a value set by the user, and if the acquisition time for acquiring the brain waves of the user by the sensing device is lower than the value set by the user, the frequency range of the brain waves of the user needs to be acquired again by the sensing device worn by the user;
the data judgment module is connected with the information acquisition module and is used for judging whether the frequency range of the electroencephalogram is within an effective frequency range;
the sleep state judging module is connected with the data judging module and used for judging the sleep level of the user according to the frequency range of the electroencephalogram when the data judging module judges that the frequency range of the electroencephalogram is in the effective frequency range;
the song acquisition module is connected with the sleep state judgment module and used for searching a preset list according to the sleep grade so as to acquire a song with a music style corresponding to the sleep grade as an alarm sound;
and the song playing module is connected with the song acquisition module and used for starting an alarm function and playing the song within preset time so as to wake up the user.
7. The mobile device of claim 6,
the effective frequency range is 0.1-35 Hz;
the data judgment module is used for judging whether the frequency range of the electroencephalogram is within the range of 0.1-35 Hz per second;
and the data judgment module judges that the frequency range of the brain wave is in the effective range when judging that the frequency range of the brain wave is in the range of 0.1-35 Hz per second.
8. The mobile device of claim 7,
the sleep grades comprise a first sleep grade, a second sleep grade and a third sleep grade, wherein the frequency range of the brain waves corresponding to the first sleep grade is within the range of 0.1-3Hz per second, the frequency range of the brain waves corresponding to the second sleep grade is within the range of 3-13Hz per second, and the frequency range of the brain waves corresponding to the third sleep grade is within the range of 13-35Hz per second.
9. The mobile device of claim 8,
the preset list includes: songs of a first music style corresponding to the first sleep level, songs of a second music style corresponding to the second sleep level, and songs of a third music style corresponding to the third sleep level.
10. The mobile device of claim 9,
if the sleep state judging module judges that the sleep level is the first sleep level, the song acquiring module acquires a song of the first music style as an alarm sound;
if the sleep state judging module judges that the sleep level is the second sleep level, the song acquiring module acquires a song of the second music style as an alarm sound;
and if the sleep state judging module judges that the sleep level is the third sleep level, the song acquiring module acquires the song in the third music style as an alarm.
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| CN201410473133.0A CN104267923B (en) | 2014-09-16 | 2014-09-16 | Music awakening method and mobile equipment |
| PCT/CN2015/070512 WO2016041305A1 (en) | 2014-09-16 | 2015-01-12 | Method for wake up by music and mobile device |
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Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104267923B (en) * | 2014-09-16 | 2020-01-03 | 惠州Tcl移动通信有限公司 | Music awakening method and mobile equipment |
| CN205163056U (en) * | 2015-11-21 | 2016-04-20 | 深圳市易特科信息技术有限公司 | A sleep regulation helmet for individual soldier's digital battlefield |
| CN105725969B (en) * | 2016-01-29 | 2018-08-24 | 宇龙计算机通信科技(深圳)有限公司 | Quarter-bell control method and alarm control unit for wearable device |
| CN106227340A (en) * | 2016-07-20 | 2016-12-14 | 广东小天才科技有限公司 | A kind of method and device playing learning information |
| CN106453867A (en) * | 2016-09-27 | 2017-02-22 | 乐视控股（北京）有限公司 | Alarm clock control method and device |
| CN106527683A (en) * | 2016-09-29 | 2017-03-22 | 珠海格力电器股份有限公司 | Apparatus and method for controlling play of media player, head-mounted apparatus and system |
| CN106648107B (en) * | 2016-12-30 | 2020-05-15 | 包磊 | VR scene control method and device |
| CN108391010A (en) * | 2018-02-28 | 2018-08-10 | 广东欧珀移动通信有限公司 | Alarm clock control method and related product |
| CN108874130B (en) * | 2018-06-04 | 2021-09-07 | Oppo广东移动通信有限公司 | Play control method and related product |
| CN112583673B (en) * | 2020-12-04 | 2021-10-22 | 珠海格力电器股份有限公司 | Control method and device for awakening equipment |
| CN114281191A (en) * | 2021-12-20 | 2022-04-05 | 咪咕音乐有限公司 | Song auditioning method, terminal equipment and readable storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103269407A (en) * | 2013-06-04 | 2013-08-28 | 北京邮电大学 | Mobile phone and method of novel alarm based on brain wave detection |
| CN103372258A (en) * | 2012-04-12 | 2013-10-30 | 孙雪青 | Insomnia treatment instrument and insomnia treatment method |
| CN103645626A (en) * | 2013-11-28 | 2014-03-19 | 苏州罗马冯环保科技有限公司 | Brain wave alarm clock |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20010095796A (en) * | 2000-04-12 | 2001-11-07 | 배병훈 | An alarm clock using the sleep stage of electroencephalogram |
| CN101111842A (en) * | 2005-01-31 | 2008-01-23 | 皇家飞利浦电子股份有限公司 | Categorizing songs on a physiological effect |
| CN100453036C (en) * | 2007-02-13 | 2009-01-21 | 电子科技大学 | Music brain electricity analytical method |
| JP2009151107A (en) * | 2007-12-20 | 2009-07-09 | Yoshikazu Itami | Sound producing device using physical information |
| CN201727828U (en) * | 2009-07-06 | 2011-02-02 | 李隆 | Musical sleep sound device |
| CN102274022B (en) * | 2011-05-10 | 2013-02-27 | 浙江大学 | Sleep state monitoring method based on electroencephalogram signals |
| CN102671276A (en) * | 2012-06-07 | 2012-09-19 | 北京师范大学 | Intelligent awakening system based on electroencephalogram signal |
| CN104267923B (en) * | 2014-09-16 | 2020-01-03 | 惠州Tcl移动通信有限公司 | Music awakening method and mobile equipment |
-
2014
- 2014-09-16 CN CN201410473133.0A patent/CN104267923B/en active Active
-
2015
- 2015-01-12 WO PCT/CN2015/070512 patent/WO2016041305A1/en active Application Filing
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103372258A (en) * | 2012-04-12 | 2013-10-30 | 孙雪青 | Insomnia treatment instrument and insomnia treatment method |
| CN103269407A (en) * | 2013-06-04 | 2013-08-28 | 北京邮电大学 | Mobile phone and method of novel alarm based on brain wave detection |
| CN103645626A (en) * | 2013-11-28 | 2014-03-19 | 苏州罗马冯环保科技有限公司 | Brain wave alarm clock |
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