CN113364916A - Method and device for determining emotion information, electronic equipment and storage medium - Google Patents

Method and device for determining emotion information, electronic equipment and storage medium Download PDF

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CN113364916A
CN113364916A CN202110629732.7A CN202110629732A CN113364916A CN 113364916 A CN113364916 A CN 113364916A CN 202110629732 A CN202110629732 A CN 202110629732A CN 113364916 A CN113364916 A CN 113364916A
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determining
electrical parameter
quality factor
human body
emotion information
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CN113364916B (en
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张鹏遥
尹嘉庆
丁志龙
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Vivo Mobile Communication Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72454User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2250/00Details of telephonic subscriber devices
    • H04M2250/12Details of telephonic subscriber devices including a sensor for measuring a physical value, e.g. temperature or motion
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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  • Environmental & Geological Engineering (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
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  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
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Abstract

The application discloses a method and a device for determining emotion information, electronic equipment and a storage medium, and belongs to the technical field of electronic equipment, wherein the method for determining emotion information is applied to the electronic equipment, the electronic equipment comprises an electromagnetic wave absorption ratio sensor and a radio transceiver, the radio transceiver is connected with the electromagnetic wave absorption ratio sensor, and the method comprises the following steps: detecting a human body holding signal through an electromagnetic wave absorption ratio sensor; determining a corresponding quality factor through the radio transceiver in case of detecting a human body holding signal; determining the electrical parameter variation of the human body according to the quality factor; and determining the emotional information of the user according to the electrical parameter variation.

Description

Method and device for determining emotion information, electronic equipment and storage medium
Technical Field
The application belongs to the technical field of electronic equipment, and particularly relates to a determination method and a determination device for emotion information, electronic equipment and a storage medium.
Background
In the related art, for example, to implement emotion detection through electronic devices such as a mobile phone, it is generally required to implement emotion detection by providing an additional bio-impedance sensor on the mobile phone.
The bio-impedance sensor is precise and expensive, which increases the manufacturing cost of the electronic device.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, an apparatus, an electronic device, and a storage medium for determining emotion information, which can determine emotion information without increasing manufacturing cost.
In a first aspect, an embodiment of the present application provides a method for determining emotion information, which is applied to an electronic device, where the electronic device includes an electromagnetic wave absorption ratio sensor and a transceiver, and the transceiver is connected to the electromagnetic wave absorption ratio sensor, and the method includes:
detecting a human body holding signal through an electromagnetic wave absorption ratio sensor;
determining a corresponding quality factor through the radio transceiver in case of detecting a human body holding signal;
determining the electrical parameter variation of the human body according to the quality factor;
and determining the emotional information of the user according to the electrical parameter variation.
In a second aspect, an embodiment of the present application provides a sentiment information determination apparatus, which is applied to an electronic device, where the electronic device includes an electromagnetic wave absorption ratio sensor and a transceiver, the transceiver is connected to the electromagnetic wave absorption ratio sensor, and the apparatus for determining sentiment information includes:
the detection module is used for detecting a human body holding signal through the electromagnetic wave absorption ratio sensor;
the determining module is used for determining a corresponding quality factor through the radio transceiver under the condition that the human body holding signal is detected; determining the electrical parameter variation of the human body according to the quality factor; and determining the emotional information of the user according to the electrical parameter variation.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, where the program or instructions, when executed by the processor, implement the steps of the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a readable storage medium on which a program or instructions are stored, which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, embodiments of the present application provide a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the steps of the method according to the first aspect.
In the embodiment of the present application, the existing electromagnetic wave Absorption ratio sensor (SAR sensor, Specific Absorption Rate sensor) and radio Transceiver (Transceiver) of the electronic device such as a mobile phone are used to accurately detect the emotion information of the user.
Specifically, a holding signal of the human body is detected by an electromagnetic wave absorption ratio sensor SAR sensor. Wherein, because when the human body is close to SAR sensor's detection antenna, can produce parasitic capacitance, electromagnetic wave absorption ratio sensor SAR sensor can judge the condition of being close to of human body according to the change of electric capacity this moment.
When the human body is not close to the electronic device, the emotion information of the user is not detected, so that low power consumption of the electronic device during standby can be maintained. And when the SAR sensor detects that the electronic equipment is held by the human body by detecting the capacitance change, the current corresponding quality factor is detected by the Transceiver driver.
Wherein, the quality factor Q satisfies the following formula:
Figure BDA0003103199880000021
wherein, ω is0Related to the sampling frequency, C is the parasitic capacitance value generated by the human hand holding the electronic device, G is the electrical parameter of the human body. In the embodiment of the present application, after the electronic device is held by the human hand, it is determined that C is not changed, and the electrical parameter G is specifically a resistance value of the human body surface. Thus, it is possible to provideFrom the above formula, ω is0The human body impedance detection device is unchanged from C, so that the electrical parameter G is inversely proportional to the quality factor Q, and the change of the human body electrical parameter can be determined through the change of the quality factor Q, so that the accurate acquisition of the human body impedance is realized under the condition of not arranging a biological impedance sensor, and the emotion detection is further realized.
According to the embodiment of the application, under the condition that the bio-impedance sensor is not arranged, the existing electromagnetic wave absorption ratio sensor SAR sensor and Transceiver driver of the electronic equipment are used, and accurate identification of the emotion information of the user through the electronic equipment is realized on the premise that the manufacturing cost of the electronic equipment is not increased.
Drawings
FIG. 1 shows a flow chart of a method of sentiment information determination according to an embodiment of the present application;
FIG. 2 shows a system diagram of a method for determining affective information according to an embodiment of the application;
FIG. 3 illustrates one of the models of a resonant circuit formed by a human hand holding an electronic device;
FIG. 4 illustrates a second exemplary schematic diagram of a resonant circuit formed by a human hand holding an electronic device;
FIG. 5 is a block diagram showing the structure of an emotion information determination apparatus according to an embodiment of the present application;
FIG. 6 shows a block diagram of an electronic device according to an embodiment of the application;
fig. 7 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present disclosure.
The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.
The method for determining emotion information, the determining apparatus, the electronic device, and the storage medium provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.
In some embodiments of the present application, a method for determining emotion information is provided, where the method is applied to an electronic device, the electronic device includes an electromagnetic wave absorption ratio sensor and a transceiver, the transceiver is connected to the electromagnetic wave absorption ratio sensor, fig. 1 shows a flowchart of a method for determining emotion information according to an embodiment of the present application, and as shown in fig. 1, the method includes:
102, detecting a human body holding signal through an electromagnetic wave absorption ratio sensor;
104, determining a corresponding quality factor through a radio transceiver under the condition that the human body holding signal is detected;
step 106, determining the electrical parameter variation of the human body according to the quality factor;
and step 108, determining the emotion information of the user according to the electrical parameter variation.
In the embodiment of the application, the existing electromagnetic wave absorption ratio sensor (SAR sensor) and Transceiver (Transceiver) of electronic equipment such as a mobile phone are utilized to realize the accurate detection of the emotional information of the user.
Specifically, a holding signal of the human body is detected by an electromagnetic wave absorption ratio sensor SAR sensor. Wherein, because when the human body is close to SAR sensor's detection antenna, can produce parasitic capacitance, electromagnetic wave absorption ratio sensor SAR sensor can judge the condition of being close to of human body according to the change of electric capacity this moment. Fig. 2 is a system schematic diagram illustrating a method for determining emotion information according to an embodiment of the present application, in which a human hand parasitic capacitance is collected by an electromagnetic wave absorption ratio sensor to obtain a human body holding signal, and an electrical parameter variation of a human body is collected by a Transceiver (Transceiver in fig. 2) to obtain emotion information.
When the human body is not close to the electronic device, the emotion information of the user is not detected, so that low power consumption of the electronic device during standby can be maintained. And when the SAR sensor detects that the electronic equipment is held by the human body by detecting the capacitance change, the current corresponding quality factor is detected by the Transceiver driver.
Wherein, the quality factor Q is related to the transceiving power of the transceiver, and the transceiving power generally satisfies:
Preceive=Ptransmit-Pasorb
when the emotion of a person changes, the electrical parameters of the human body can be synchronously changed, and the change is reflected as the change of the impedance of the human body. At this time, the amount of the new hand of the human body to the transmission power is changed due to the change of the impedance of the human body, and thus PasorbWill change into Pasorb_new
Therefore, the relationship between the transmission and reception powers, when the emotion of the person changes, satisfies:
Preceive_new=Ptransmit-Pasorb_new
from this, the change (P) of the received powerreceive_new-Preceive) Reflecting the change of the impedance of the human body.
In addition, since the quality factor Q is positively correlated with the received power, the variation of the quality factor Q can also reflect the variation of the human body impedance, i.e. the variation of the human body electrical parameter.
Specifically, the quality factor Q can be expressed by the following formula:
Figure BDA0003103199880000051
wherein, ω is0Related to the sampling frequency, C is the parasitic capacitance value generated by the human hand holding the electronic device, G is the electrical parameter of the human body. In the embodiment of the present application, after the electronic device is held by the human hand, it is determined that C is not changed, and the electrical parameter G is specifically a resistance value of the human body surface. Therefore, ω is represented by the above formula0The human body impedance detection device is unchanged from C, so that the electrical parameter G is inversely proportional to the quality factor Q, and the change of the human body electrical parameter can be determined through the change of the quality factor Q, so that the accurate acquisition of the human body impedance is realized under the condition of not arranging a biological impedance sensor, and the emotion detection is further realized.
According to the embodiment of the application, under the condition that the bio-impedance sensor is not arranged, the existing electromagnetic wave absorption ratio sensor SAR sensor and Transceiver driver of the electronic equipment are used, and accurate identification of the emotion information of the user through the electronic equipment is realized on the premise that the manufacturing cost of the electronic equipment is not increased.
In some embodiments of the present application, determining the amount of change in the electrical parameter of the human body from the figure of merit comprises:
under the condition that a human body holding signal is detected, determining a current first quality factor through a radio transceiver, and determining a second quality factor after delaying for a first preset time;
and determining the electrical parameter variation of the human body within a first preset time period according to the first quality factor and the second quality factor.
In the embodiment of the application, the variation of the human body electrical parameter is determined through the variation of the quality factor. Specifically, in the case that a human body holding signal is detected, namely when the electronic equipment is held by a human hand, the currently corresponding first quality factor Q is detectedold. Then, after delaying for a first preset time period, the second quality factor Q is detected againnew. Wherein the first quality factor QoldDeriving quality when holding an electronic device for a person, determining a first quality factor QoldWhile at the same timeThe electromagnetic wave absorption ratio sensor SAR sensor collects the parasitic capacitance C of the human body at the moment, and fixes the parasitic capacitance C, namely, the change of the parasitic capacitance C is not collected any more after the human holds the electronic equipment.
Therefore, the first quality factor Q at this timeoldThe following formula is satisfied:
Figure BDA0003103199880000061
second quality factor QnewThe following formula is satisfied:
Figure BDA0003103199880000062
wherein G is1A first electrical parameter, G, of the human body for the user to hold the electronic device2Is a second electrical parameter of the human body after a preset duration.
Since the parasitic capacitance C is fixed and ω is0Is related to the sampling frequency and is also maintained constant, and is thus based on a first quality factor QoldAnd a second quality factor QnewAmount of change (Q)new-Qold) The variation (G) of the electrical parameters of the human body can be accurately determined2-G1)。
According to the embodiment of the application, the quality factors are collected at least twice, and the change of the human body electrical parameters is determined according to the change of the quality factors, so that the emotion information of the user is determined, and the low-cost emotion information detection is realized.
In some embodiments of the present application, determining the amount of change of the electrical parameter of the human body within the first preset time period according to the first quality factor and the second quality factor comprises:
under the condition that a human body holding signal is detected, acquiring a current parasitic capacitance value through an electromagnetic wave absorption ratio sensor;
acquiring the sampling frequency of an electromagnetic wave absorption ratio sensor;
and calculating the variation of the electrical parameter according to the sampling frequency, the parasitic capacitance value, the first quality factor and the second quality factor.
In the embodiment of the present application, when a human body holding signal is detected, a current parasitic capacitance value C is obtained, where the parasitic capacitance value C is a capacitance value of a parasitic capacitance generated by a human body holding an electronic device. It should be understood that, since the holding posture of the electronic device may change after the electronic device is held by the human body, under the body-skin electric effect, the degree of change of the parasitic capacitance cannot cover the influence of different parameters such as pressure and position when the electronic device is held by the human hand. Therefore, the parasitic capacitance in the embodiment of the application is only used for judging whether a person holds the electronic device, namely when the person approaches and holds the electronic device, the value changes, the parasitic capacitance C at the moment is collected and fixed, and when the human body electrical parameter is calculated, the parasitic capacitance C does not change.
Further, the sampling frequency of the electromagnetic wave absorption ratio sensor is obtained, and the electrical parameter variation is calculated according to the sampling frequency, the parasitic capacitance value, the first quality factor and the second quality factor. Wherein due to the first quality factor QoldThe following formula is satisfied:
Figure BDA0003103199880000071
and a second quality factor QnewThe following formula is satisfied:
Figure BDA0003103199880000072
since the parasitic capacitance value C is fixed, and ω is0Is related to the sampling frequency of the electromagnetic wave absorption ratio sensor and is also kept unchanged, so that the sampling frequency is according to the first quality factor QoldAnd a second quality factor QnewAmount of change (Q)new-Qold) The variation (G) of the electrical parameters of the human body can be accurately determined2-G1). According to the embodiment of the application, the quality factors are collected at least twice, and the change of the human body electrical parameters is determined according to the change of the quality factors, so that the emotion information of the user is informedAnd the emotion information is determined, so that low-cost emotion information detection is realized.
In some embodiments of the present application, calculating the electrical parameter variation from the sampling frequency, the parasitic capacitance value, the first quality factor, and the second quality factor comprises:
calculating the electrical parameter variation by the following formula:
Figure BDA0003103199880000073
wherein, Δ RhandAs a variation of an electrical parameter, omega02 × pi × f, f is the sampling frequency of the electromagnetic wave absorption ratio sensor, C is the parasitic capacitance value, and Q is the valuenewIs a second quality factor, QoldIs the first quality factor.
In the embodiment of the present application, the electrical parameter variation is calculated by the above calculation. The derivation process of the above formula is as follows:
due to the fact that
Figure BDA0003103199880000081
And is
Figure BDA0003103199880000082
The derivation can be:
Figure BDA0003103199880000083
the above formula can be obtained by transforming the above formula.
Specifically, fig. 3 shows one of schematic diagrams of a resonant circuit model formed by the human hand-held electronic device, and fig. 4 shows the other schematic diagram of the resonant circuit model formed by the human hand-held electronic device, wherein the PLC is a simplified resonant circuit model of the Transceiver driver, and the CM1, the CM2, the RM1 and the RM2 are human skin simulation electrical parameter models. Specifically, in fig. 3, when a human body holds the mobile phone, capacitance is generated, so that the mobile phone can determine whether a human hand holds the mobile phone according to the change of the collected parasitic capacitance. After the hand holding the mobile phone is determined, as shown in FIG. 4, the changes of RM1 and RM2 are acquired by the PLC part, so that the emotional information of the user is determined.
In some embodiments of the present application, determining emotional information of the user according to the electrical parameter variation includes:
respectively determining N electrical parameter variable quantities within a second preset time period, wherein N is an integer greater than 2;
fitting a corresponding electrical parameter change curve according to the N electrical parameter change quantities and the time point corresponding to each electrical parameter change quantity;
and determining a target curve which is consistent with the electrical parameter change curve in a preset curve database, and determining the emotion information corresponding to the target curve as the emotion information of the user.
In the embodiment of the application, the change rule of the electrical parameters of the human body can correspond to different emotional information of the human body. Specifically, within a second preset time period, N electrical parameter variations are respectively determined, that is, respectively calculated: (Q)new1-Qold1)、(Qnew2-Qold2)、(Qnew3-Qold3)、(Qnew4-Qold4)……(QnewN-QoldN) The values are recorded as A1, A2, A3 and A4 … … AN, and the time points when the variation of each electrical parameter is obtained are recorded as T1, T2, T3 and T4 … … TN.
Further, from the above data, a curve of the variation of the electrical parameter (a1 to AN) with time (T1 to TN), i.e., the above electrical parameter variation curve, is fitted and established. After the electric parameter change curve is obtained, the electric parameter change curve is compared with the curve of the known emotional information in the preset curve database. And if the electrical parameter change curve conforms to a certain target curve of known emotion information, determining the emotion information corresponding to the target curve as the emotion information of the user holding the electronic equipment at present.
According to the method, under the condition that the bio-impedance sensor is not arranged, the change of the human body electrical parameters of the user is determined through the existing electromagnetic wave absorption ratio sensor SAR sensor and the Transceiver driver of the electronic equipment, the change curve of the human body electrical parameters is fitted, and the current emotional activity of the user is finally determined, so that the accurate identification of the emotional information of the user through the electronic equipment is realized on the premise that the manufacturing cost of the electronic equipment is not increased.
In some embodiments of the present application, the method for determining emotion information further includes:
determining a corresponding emotion guidance strategy according to the emotion information;
and generating and displaying a corresponding emotion report according to the emotion information and the emotion guidance strategy.
In the embodiment of the application, the electronic device such as the mobile phone and the like can generate a corresponding emotion report according to the obtained user emotion information, wherein the emotion report comprises an emotion change curve of a mobile phone holder within a period of time and a guide strategy according to real-time emotion information and emotion change of the user. Specifically, the guidance strategy may be a strategy that is specified by a psychologist and can guide the user to go away from negative emotions, and if the emotional information of the user is irritability, the guidance strategy is media content such as characters, music or images that guide the user to return to the mood, so that the user can be in an emotion-stable state for a long time, and physical and psychological health of the user is facilitated.
In some embodiments of the present application, there is provided a sentiment information determination apparatus, applied to an electronic device, where the electronic device includes an electromagnetic wave absorption ratio sensor and a transceiver, and the transceiver is connected to the electromagnetic wave absorption ratio sensor, fig. 5 shows a block diagram of the apparatus for determining sentiment information according to an embodiment of the present application, and as shown in fig. 5, the apparatus 300 for determining sentiment information includes:
a detection module 302, configured to detect a human body holding signal through an electromagnetic wave absorption ratio sensor;
a determining module 304, configured to determine, through radio transceiving, a corresponding quality factor in a case where a human body holding signal is detected; determining the electrical parameter variation of the human body according to the quality factor; and determining the emotional information of the user according to the electrical parameter variation.
In the embodiment of the application, the existing electromagnetic wave absorption ratio sensor (SAR sensor) and Transceiver (Transceiver) of electronic equipment such as a mobile phone are utilized to realize the accurate detection of the emotional information of the user.
Specifically, a holding signal of the human body is detected by an electromagnetic wave absorption ratio sensor SAR sensor. Wherein, because when the human body is close to SAR sensor's detection antenna, can produce parasitic capacitance, electromagnetic wave absorption ratio sensor SAR sensor can judge the condition of being close to of human body according to the change of electric capacity this moment.
When the human body is not close to the electronic device, the emotion information of the user is not detected, so that low power consumption of the electronic device during standby can be maintained. And when the SAR sensor detects that the electronic equipment is held by the human body by detecting the capacitance change, the current corresponding quality factor is detected by the Transceiver driver.
Wherein, the quality factor Q is related to the transceiving power of the transceiver, and the transceiving power generally satisfies:
Preceive=Ptransmit-Pasorb
when the emotion of a person changes, the electrical parameters of the human body can be synchronously changed, and the change is reflected as the change of the impedance of the human body. At this time, the amount of the new hand of the human body to the transmission power is changed due to the change of the impedance of the human body, and thus PasorbWill change into Pasorb_new
Therefore, the relationship between the transmission and reception powers, when the emotion of the person changes, satisfies:
Preceive_new=Ptransmit-Pasorb_new
from this, the change (P) of the received powerreceive_new-Preceive) Reflecting the change of the impedance of the human body.
In addition, since the quality factor Q is positively correlated with the received power, the variation of the quality factor Q can also reflect the variation of the human body impedance, i.e. the variation of the human body electrical parameter.
Specifically, the quality factor Q can be expressed by the following formula:
Figure BDA0003103199880000101
wherein, ω is0Related to the sampling frequency, C is the parasitic capacitance value generated by the human hand holding the electronic device, G is the electrical parameter of the human body. In the embodiment of the present application, after the electronic device is held by the human hand, it is determined that C is not changed, and the electrical parameter G is specifically a resistance value of the human body surface. Therefore, ω is represented by the above formula0The human body impedance detection device is unchanged from C, so that the electrical parameter G is inversely proportional to the quality factor Q, and the change of the human body electrical parameter can be determined through the change of the quality factor Q, so that the accurate acquisition of the human body impedance is realized under the condition of not arranging a biological impedance sensor, and the emotion detection is further realized.
According to the embodiment of the application, under the condition that the bio-impedance sensor is not arranged, the existing electromagnetic wave absorption ratio sensor SAR sensor and Transceiver driver of the electronic equipment are used, and accurate identification of the emotion information of the user through the electronic equipment is realized on the premise that the manufacturing cost of the electronic equipment is not increased.
In some embodiments of the present application, the determining module 304 is further configured to:
under the condition that a human body holding signal is detected, determining a current first quality factor through a radio transceiver, and determining a second quality factor after delaying for a first preset time;
and determining the electrical parameter variation of the human body within a first preset time period according to the first quality factor and the second quality factor.
In the embodiment of the application, the variation of the human body electrical parameter is determined through the variation of the quality factor. Specifically, in the case that a human body holding signal is detected, namely when the electronic equipment is held by a human hand, the currently corresponding first quality factor Q is detectedold. Then, after delaying for a first preset time period, the second quality factor Q is detected againnew. Wherein the first quality factor QoldDeriving quality when holding an electronic device for a person, determining a first quality factor QoldMeanwhile, the stray capacitance C of the human body at the moment is collected through the SAR sensor, and the stray capacitance C is fixed, namely, after the electronic equipment is held by a person, the change of the stray capacitance C is not collected any more.
Therefore, the first quality factor Q at this timeoldThe following formula is satisfied:
Figure BDA0003103199880000111
second quality factor QnewThe following formula is satisfied:
Figure BDA0003103199880000112
wherein G is1A first electrical parameter, G, of the human body for the user to hold the electronic device2Is a second electrical parameter of the human body after a preset duration.
Since the parasitic capacitance C is fixed and ω is0Is related to the sampling frequency and is also maintained constant, and is thus based on a first quality factor QoldAnd a second quality factor QnewAmount of change (Q)new-Qold) The variation (G) of the electrical parameters of the human body can be accurately determined2-G1)。
According to the embodiment of the application, the quality factors are collected at least twice, and the change of the human body electrical parameters is determined according to the change of the quality factors, so that the emotion information of the user is determined, and the low-cost emotion information detection is realized.
In some embodiments of the present application, the detecting module 302 is further configured to, in a case that a human body holding signal is detected, obtain a current parasitic capacitance value through an electromagnetic wave absorption ratio sensor; acquiring the sampling frequency of an electromagnetic wave absorption ratio sensor;
the determining module 304 is further configured to calculate the electrical parameter variation according to the sampling frequency, the parasitic capacitance value, the first quality factor, and the second quality factor.
In the embodiment of the present application, when a human body holding signal is detected, a current parasitic capacitance value C is obtained, where the parasitic capacitance value C is a capacitance value of a parasitic capacitance generated by a human body holding an electronic device. It should be understood that, since the holding posture of the electronic device may change after the electronic device is held by the human body, under the body-skin electric effect, the degree of change of the parasitic capacitance cannot cover the influence of different parameters such as pressure and position when the electronic device is held by the human hand. Therefore, the parasitic capacitance in the embodiment of the application is only used for judging whether a person holds the electronic device, namely when the person approaches and holds the electronic device, the value changes, the parasitic capacitance C at the moment is collected and fixed, and when the human body electrical parameter is calculated, the parasitic capacitance C does not change.
Further, the sampling frequency of the electromagnetic wave absorption ratio sensor is obtained, and the electrical parameter variation is calculated according to the sampling frequency, the parasitic capacitance value, the first quality factor and the second quality factor. Wherein due to the first quality factor QoldThe following formula is satisfied:
Figure BDA0003103199880000121
and a second quality factor QnewThe following formula is satisfied:
Figure BDA0003103199880000122
since the parasitic capacitance value C is fixed, and ω is0Is related to the sampling frequency of the electromagnetic wave absorption ratio sensor and is also kept unchanged, so that the sampling frequency is according to the first quality factor QoldAnd a second quality factor QnewAmount of change (Q)new-Qold) The variation (G) of the electrical parameters of the human body can be accurately determined2-G1). According to the embodiment of the application, the quality factors are collected at least twice, and the change of the human body electrical parameters is determined according to the change of the quality factors, so that the emotion information of the user is determined, and the low-cost emotion information detection is realized.
In some embodiments of the present application, the determining module 304 is further configured to:
calculating the electrical parameter variation by the following formula:
Figure BDA0003103199880000131
wherein, Δ RhandAs a variation of an electrical parameter, omega02 × pi × f, f is the sampling frequency, C is the parasitic capacitance value, QnewIs a second quality factor, QoldIs the first quality factor.
In the embodiment of the present application, the electrical parameter variation is calculated by the above calculation. The derivation process of the above formula is as follows:
due to the fact that
Figure BDA0003103199880000132
And is
Figure BDA0003103199880000133
The derivation can be:
Figure BDA0003103199880000134
the above formula can be obtained by transforming the above formula.
Specifically, fig. 2 shows a schematic diagram of a resonant circuit model formed by a human hand-holding electronic device, wherein the PLC is a simplified resonant circuit model of a Transceiver driver, and the CM1, the CM2, the RM1 and the RM2 are human skin simulation electrical parameter models.
In some embodiments of the present application, the determining module 304 is further configured to:
respectively determining N electrical parameter variable quantities within a second preset time period;
fitting a corresponding electrical parameter change curve according to the N electrical parameter change quantities and the time point corresponding to each electrical parameter change quantity;
and determining a target curve which is consistent with the electrical parameter change curve in a preset curve database, and determining the emotion information corresponding to the target curve as the emotion information of the user.
In the embodiment of the application, the change rule of the electrical parameters of the human body can correspond to different emotional information of the human body. Specifically, within a second preset time period, N electrical parameter variations are respectively determined, that is, respectively calculated: (Q)new1-Qold1)、(Qnew2-Qold2)、(Qnew3-Qold3)、(Qnew4-Qold4)……(QnewN-QoldN) The values are recorded as A1, A2, A3 and A4 … … AN, and the time points when the variation of each electrical parameter is obtained are recorded as T1, T2, T3 and T4 … … TN.
Further, from the above data, a curve of the variation of the electrical parameter (a1 to AN) with time (T1 to TN), i.e., the above electrical parameter variation curve, is fitted and established. After the electric parameter change curve is obtained, the electric parameter change curve is compared with the curve of the known emotional information in the preset curve database. And if the electrical parameter change curve conforms to a certain target curve of known emotion information, determining the emotion information corresponding to the target curve as the emotion information of the user holding the electronic equipment at present.
According to the method, under the condition that the bio-impedance sensor is not arranged, the change of the human body electrical parameters of the user is determined through the existing electromagnetic wave absorption ratio sensor SAR sensor and the Transceiver driver of the electronic equipment, the change curve of the human body electrical parameters is fitted, and the current emotional activity of the user is finally determined, so that the accurate identification of the emotional information of the user through the electronic equipment is realized on the premise that the manufacturing cost of the electronic equipment is not increased.
In some embodiments of the present application, the determining module 304 is further configured to:
determining a corresponding emotion guidance strategy according to the emotion information; and generating and displaying a corresponding emotion report according to the emotion information and the emotion guidance strategy.
In the embodiment of the application, the electronic device such as the mobile phone and the like can generate a corresponding emotion report according to the obtained user emotion information, wherein the emotion report comprises an emotion change curve of a mobile phone holder within a period of time and a guide strategy according to real-time emotion information and emotion change of the user. Specifically, the guidance strategy may be a strategy that is specified by a psychologist and can guide the user to go away from negative emotions, and if the emotional information of the user is irritability, the guidance strategy is media content such as characters, music or images that guide the user to return to the mood, so that the user can be in an emotion-stable state for a long time, and physical and psychological health of the user is facilitated.
The determination device of emotion information in the embodiment of the present application may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiments of the present application are not particularly limited.
The determination device of emotion information in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system (Android), an iOS operating system, or other possible operating systems, which is not specifically limited in the embodiments of the present application.
The apparatus for determining emotion information provided in this embodiment of the application can implement each process implemented by the above method embodiment, and is not described here again to avoid repetition.
Optionally, an electronic device 400 is further provided in an embodiment of the present application, and fig. 6 shows a block diagram of a structure of the electronic device according to the embodiment of the present application, as shown in fig. 6, the electronic device includes a processor 402, a memory 404, and a program or an instruction stored in the memory 404 and executable on the processor 402, and when the program or the instruction is executed by the processor 402, the process of the embodiment of the method is implemented, and the same technical effect can be achieved, and details are not repeated here to avoid repetition.
It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic device and the non-mobile electronic device described above.
Fig. 7 is a schematic diagram of a hardware structure of an electronic device implementing an embodiment of the present application.
The electronic device 2000 includes, but is not limited to: a radio frequency module 2001, a network module 2002, an audio output module 2003, an input module 2004, sensors 2005, a display module 2006, a user input module 2007, an interface module 2008, a memory 2009, and a processor 2010.
Those skilled in the art will appreciate that the electronic device 2000 may further include a power source 2011 (e.g., a battery) for supplying power to various components, and the power source 2011 may be logically connected to the processor 2010 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 7 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.
The processor 2010 is configured to detect a human body holding signal through the electromagnetic wave absorption ratio sensor;
determining a corresponding quality factor through the radio transceiver in case of detecting a human body holding signal;
determining the electrical parameter variation of the human body according to the quality factor;
and determining the emotional information of the user according to the electrical parameter variation.
Optionally, the processor 2010 is further configured to determine, through the transceiver, a current first quality factor when the human body holding signal is detected, and determine a second quality factor after delaying for a first preset time period;
and determining the electrical parameter variation of the human body within a first preset time period according to the first quality factor and the second quality factor.
Optionally, the processor 2010 is further configured to, in a case that a human body holding signal is detected, obtain a current parasitic capacitance value through the electromagnetic wave absorption ratio sensor;
acquiring the sampling frequency of an electromagnetic wave absorption ratio sensor;
and calculating the variation of the electrical parameter according to the sampling frequency, the parasitic capacitance value, the first quality factor and the second quality factor.
Optionally, the processor 2010 is further configured to calculate the electrical parameter variation by the following equation:
Figure BDA0003103199880000161
wherein, Δ RhandAs a variation of an electrical parameter, omega02 × pi × f, f is the sampling frequency of the electromagnetic wave absorption ratio sensor, C is the parasitic capacitance value, and Q is the valuenewIs a second quality factor, QoldIs the first quality factor.
Optionally, the processor 2010 is further configured to determine N electrical parameter variation amounts respectively within a second preset time period, where N is an integer greater than 2;
fitting a corresponding electrical parameter change curve according to the N electrical parameter change quantities and the time point corresponding to each electrical parameter change quantity;
and determining a target curve which is consistent with the electrical parameter change curve in a preset curve database, and determining the emotion information corresponding to the target curve as the emotion information of the user.
According to the embodiment of the application, under the condition that the bio-impedance sensor is not arranged, the existing electromagnetic wave absorption ratio sensor SAR sensor and Transceiver driver of the electronic equipment are used, and accurate identification of the emotion information of the user through the electronic equipment is realized on the premise that the manufacturing cost of the electronic equipment is not increased.
It should be understood that in the embodiment of the present application, the input module 2004 may include a Graphics Processing Unit (GPU) 5082 and a microphone 5084, and the Graphics processor 5082 processes image data of still pictures or videos obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode.
The display module 2006 may include a display panel 5122, and the display panel 5122 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input module 2007 includes a touch panel 5142 and other input devices 5144. A touch panel 5142 is also referred to as a touch screen. The touch panel 5142 may include two parts of a touch detection device and a touch controller. Other input devices 5144 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein. The memory 2009 may be used to store software programs as well as various data, including but not limited to applications and operating systems. Processor 2010 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc. and a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 2010.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements the processes of the foregoing method embodiments, and can achieve the same technical effects, and in order to avoid repetition, details are not repeated here.
The processor is the processor in the electronic device in the above embodiment. Readable storage media, including computer-readable storage media, such as Read-Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, etc.
The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the foregoing method embodiment, and the same technical effect can be achieved.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.
While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (14)

1. A method for determining emotion information, which is applied to an electronic device, wherein the electronic device comprises an electromagnetic wave absorption ratio sensor and a transceiver, and the transceiver is connected with the electromagnetic wave absorption ratio sensor, the method comprising:
detecting a human body holding signal through the electromagnetic wave absorption ratio sensor;
determining, by the radio transceiver, a corresponding figure of merit in the event that the human grip signal is detected;
determining the electrical parameter variation of the human body according to the quality factor;
and determining the emotional information of the user according to the electrical parameter variation.
2. The method for determining emotional information according to claim 1, wherein the determining the variation of the electrical parameter of the human body according to the quality factor comprises:
under the condition that the human body holding signal is detected, determining a current first quality factor through the radio transceiver, and determining a second quality factor after delaying for a first preset time;
and determining the electrical parameter variation of the human body within the first preset time according to the first quality factor and the second quality factor.
3. The method for determining emotional information according to claim 2, wherein the determining the variation of the electrical parameter of the human body within the first preset time period according to the first quality factor and the second quality factor comprises:
under the condition that the human body holding signal is detected, acquiring the current parasitic capacitance value through the electromagnetic wave absorption ratio sensor;
acquiring the sampling frequency of the electromagnetic wave absorption ratio sensor;
and calculating the electrical parameter variation according to the sampling frequency, the parasitic capacitance value, the first quality factor and the second quality factor.
4. The method for determining emotional information according to claim 3, wherein the calculating the electrical parameter variation according to the sampling frequency, the parasitic capacitance value, the first quality factor and the second quality factor comprises:
calculating the electrical parameter variation by the following formula:
Figure FDA0003103199870000021
wherein, Δ RhandIs the electrical parameter variation, ω02 × pi × f, f is the sampling frequency of the electromagnetic wave absorption ratio sensor, C is the parasitic capacitance value, and Q isnewIs said second quality factor, QoldIs the first quality factor.
5. The method for determining emotional information according to any of claims 1 to 4, wherein the determining the emotional information of the user according to the electrical parameter variation comprises:
respectively determining N electrical parameter variable quantities within a second preset time period, wherein N is an integer greater than 2;
fitting a corresponding electrical parameter change curve according to the N electrical parameter change quantities and the time point corresponding to each electrical parameter change quantity;
and determining a target curve which is consistent with the electrical parameter change curve in a preset curve database, and determining the emotion information corresponding to the target curve as the emotion information of the user with the emotion information of the user.
6. The method for determining emotion information according to claim 5, further comprising:
determining a corresponding emotion guidance strategy according to the emotion information;
and generating and displaying a corresponding emotion report according to the emotion information and the emotion guidance strategy.
7. An emotion information determination device applied to an electronic device, wherein the electronic device includes an electromagnetic wave absorption ratio sensor and a transceiver connected to the electromagnetic wave absorption ratio sensor, the emotion information determination device comprising:
the detection module is used for detecting a human body holding signal through the electromagnetic wave absorption ratio sensor;
the determining module is used for determining a corresponding quality factor through the radio transceiving under the condition that the human body holding signal is detected; determining the electrical parameter variation of the human body according to the quality factor; and determining the emotional information of the user according to the electrical parameter variation.
8. The apparatus for determining emotion information as claimed in claim 7, wherein said determining module is further configured to:
under the condition that the human body holding signal is detected, determining a current first quality factor through the radio transceiver, and determining a second quality factor after delaying for a first preset time;
and determining the electrical parameter variation of the human body within the first preset time according to the first quality factor and the second quality factor.
9. The apparatus according to claim 8, wherein the detecting module is further configured to, when the human body holding signal is detected, obtain a current parasitic capacitance value through the electromagnetic wave absorption ratio sensor; acquiring the sampling frequency of the electromagnetic wave absorption ratio sensor;
the determination module is further configured to calculate the electrical parameter variation according to the sampling frequency, the parasitic capacitance value, the first quality factor, and the second quality factor.
10. The apparatus for determining emotion information as claimed in claim 9, wherein said determining module is further configured to:
calculating the electrical parameter variation by the following formula:
Figure FDA0003103199870000031
wherein, Δ RhandIs the electrical parameter variation, ω02 × pi × f, f is the sampling frequency, C is the parasitic capacitance value, QnewIs said second quality factor, QoldIs the first quality factor.
11. The apparatus for determining emotion information according to any of claims 7 to 9, wherein the determining module is further configured to:
respectively determining N electrical parameter variable quantities within a second preset time period;
fitting a corresponding electrical parameter change curve according to the N electrical parameter change quantities and the time point corresponding to each electrical parameter change quantity;
and determining a target curve which is consistent with the electrical parameter change curve in a preset curve database, and determining the emotion information corresponding to the target curve as the emotion information of the user with the emotion information of the user.
12. The apparatus for determining emotional information of claim 11, wherein the determining module is further configured to:
determining a corresponding emotion guidance strategy according to the emotion information;
and generating and displaying a corresponding emotion report according to the emotion information and the emotion guidance strategy.
13. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the method of any one of claims 1 to 6.
14. A readable storage medium, on which a program or instructions are stored, which when executed by a processor, carry out the steps of the method according to any one of claims 1 to 6.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113890937A (en) * 2021-10-26 2022-01-04 维沃移动通信有限公司 Usage mode switching method and device, electronic equipment and readable storage medium

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201814558U (en) * 2010-05-18 2011-05-04 上海理工大学 Real-time emotion detection system for information science and man-machine interactive system
CN103701982A (en) * 2012-09-27 2014-04-02 中国移动通信集团公司 Method, device and system for regulating display content of user terminal
CN105266776A (en) * 2015-09-06 2016-01-27 陈才维 Method for monitoring human health
CN105391843A (en) * 2015-09-28 2016-03-09 努比亚技术有限公司 Terminal device, information issuing method and information issuing system
CN105395192A (en) * 2015-12-09 2016-03-16 恒爱高科(北京)科技有限公司 Wearable emotion recognition method and system based on electroencephalogram
CN108334202A (en) * 2018-02-27 2018-07-27 广东欧珀移动通信有限公司 Wallpaper update method and Related product
CN108334583A (en) * 2018-01-26 2018-07-27 上海智臻智能网络科技股份有限公司 Affective interaction method and device, computer readable storage medium, computer equipment
CN108363530A (en) * 2018-02-13 2018-08-03 广东欧珀移动通信有限公司 Electronic device, method for playing music and related product
CN208355453U (en) * 2017-07-07 2019-01-11 天津工业大学 A kind of emotion signal acquiring system
CN110891303A (en) * 2019-11-14 2020-03-17 上海龙旗科技股份有限公司 Method and equipment for reducing electromagnetic wave absorption ratio
CN112294274A (en) * 2020-05-29 2021-02-02 北京沃东天骏信息技术有限公司 Detection method and device

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201814558U (en) * 2010-05-18 2011-05-04 上海理工大学 Real-time emotion detection system for information science and man-machine interactive system
CN103701982A (en) * 2012-09-27 2014-04-02 中国移动通信集团公司 Method, device and system for regulating display content of user terminal
CN105266776A (en) * 2015-09-06 2016-01-27 陈才维 Method for monitoring human health
CN105391843A (en) * 2015-09-28 2016-03-09 努比亚技术有限公司 Terminal device, information issuing method and information issuing system
CN105395192A (en) * 2015-12-09 2016-03-16 恒爱高科(北京)科技有限公司 Wearable emotion recognition method and system based on electroencephalogram
CN208355453U (en) * 2017-07-07 2019-01-11 天津工业大学 A kind of emotion signal acquiring system
CN108334583A (en) * 2018-01-26 2018-07-27 上海智臻智能网络科技股份有限公司 Affective interaction method and device, computer readable storage medium, computer equipment
CN108363530A (en) * 2018-02-13 2018-08-03 广东欧珀移动通信有限公司 Electronic device, method for playing music and related product
CN108334202A (en) * 2018-02-27 2018-07-27 广东欧珀移动通信有限公司 Wallpaper update method and Related product
CN110891303A (en) * 2019-11-14 2020-03-17 上海龙旗科技股份有限公司 Method and equipment for reducing electromagnetic wave absorption ratio
CN112294274A (en) * 2020-05-29 2021-02-02 北京沃东天骏信息技术有限公司 Detection method and device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113890937A (en) * 2021-10-26 2022-01-04 维沃移动通信有限公司 Usage mode switching method and device, electronic equipment and readable storage medium

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