CN112950212A - Transaction processing method and related product - Google Patents

Transaction processing method and related product Download PDF

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CN112950212A
CN112950212A CN201911176925.0A CN201911176925A CN112950212A CN 112950212 A CN112950212 A CN 112950212A CN 201911176925 A CN201911176925 A CN 201911176925A CN 112950212 A CN112950212 A CN 112950212A
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张海平
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • A61B5/14542Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring blood gases
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    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/16Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165Evaluating the state of mind, e.g. depression, anxiety

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Abstract

The embodiment of the application discloses a transaction processing method and a related product, which are applied to a first human body device, wherein the first human body device is arranged on a first human body, and the method comprises the following steps: when the first human body and a second human body are used for handshaking, target handshaking parameters are obtained, the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier; acquiring the second account information and the second device identification; determining a target transaction instruction corresponding to the target handshake parameters, wherein the target transaction instruction carries the first account information, the first device identifier, the second account information and the second device identifier; and executing the corresponding operation of the target transaction instruction. By adopting the embodiment of the application, the transaction can be realized through the human body communication technology, and the transaction convenience is improved.

Description

Transaction processing method and related product
Technical Field
The present application relates to the field of communications technologies, and in particular, to a transaction processing method and a related product.
Background
With the widespread use of electronic devices (such as mobile phones, tablet computers, and the like), the electronic devices have more and more applications and more powerful functions, and the electronic devices are developed towards diversification and personalization, and become indispensable electronic products in the life of users.
In life, mobile payment becomes an indispensable thing in life of people. Current payment methods, no matter pay treasured or believe a little, mainly sweep the sign indicating number through the camera and pay, the step that needs is more, and the operation is comparatively loaded down with trivial details.
Disclosure of Invention
The embodiment of the application provides a transaction processing method and a related product, which can realize transaction through a human body communication technology and improve transaction convenience.
In a first aspect, an embodiment of the present application provides a first human body device, where the first human body device is disposed on a first human body, the first human body device includes a human body communication chip and a processing circuit, the human body communication chip is connected to a handshake detection sensor, and the method includes:
the handshake detection sensor is used for acquiring target handshake parameters when the first human body and the second human body handshake, wherein the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier;
the human body communication chip is used for acquiring the second account information and the second equipment identifier;
the processing circuit is configured to determine a target transaction instruction corresponding to the target handshake parameter, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier;
the human body communication chip is also used for executing the corresponding operation of the target transaction instruction.
In a second aspect, an embodiment of the present application provides a transaction processing method, which is applied to a first human body device, where the first human body device is disposed on a first human body, and the method includes:
when the first human body and a second human body are used for handshaking, target handshaking parameters are obtained, the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier;
acquiring the second account information and the second device identification;
determining a target transaction instruction corresponding to the target handshake parameters, wherein the target transaction instruction carries the first account information, the first device identifier, the second account information and the second device identifier;
and executing the corresponding operation of the target transaction instruction.
In a third aspect, an embodiment of the present application provides a transaction processing apparatus applied to a first human body device, where the apparatus includes: a first obtaining unit, a second obtaining unit, a first determining unit and an executing unit, wherein,
the first obtaining unit is configured to obtain a target handshake parameter when the first human body handshakes with a second human body, where the first human body device corresponds to first account information and a first device identifier, the second human body corresponds to a second human body device, and the second human body device corresponds to second account information and a second device identifier;
the second obtaining unit is configured to obtain the second account information and the second device identifier;
the first determining unit is configured to determine a target transaction instruction corresponding to the target handshake parameters, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier;
and the execution unit is used for executing the corresponding operation of the target transaction instruction.
In a fourth aspect, embodiments of the present application provide a human body apparatus, including a processor, a memory, a human body communication chip, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing the steps in the second aspect of the embodiments of the present application.
In a fifth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform some or all of the steps described in the second aspect of the present application.
In a sixth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the second aspect of embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
it can be seen that the transaction processing method and related products described in the embodiments of the present application are applied to a first human body device, the first human body device is disposed on a first human body, when a first human body handshakes with a second human body, target handshake parameters are obtained, first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, second human body equipment corresponds to second account information and a second equipment identifier, second account information and a second equipment identifier are obtained, a target transaction instruction corresponding to the target handshake parameters is determined, the target transaction instruction carries the first account information, the first equipment identifier, the second account information and the second equipment identifier, corresponding operation of the target transaction instruction is executed, and therefore, can realize corresponding transaction operation through detecting the action of shaking hands when two people are shaking hands, promote the transaction convenience.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic structural diagram of a human body apparatus according to an embodiment of the present application;
fig. 1B is a schematic diagram illustrating a communication principle of human body communication according to an embodiment of the present application;
fig. 1C is a schematic diagram illustrating a human body communication chip based on capacitive coupling type human body communication according to an embodiment of the present application;
fig. 1D is a schematic diagram illustrating a human body communication chip based on a current coupling type human body communication demonstration provided in an embodiment of the present application;
fig. 1E is a schematic illustration of a body area network provided by an embodiment of the present application;
fig. 1F is a schematic flow chart of a transaction processing method according to an embodiment of the present application;
fig. 1G is a schematic diagram of a handshake scenario provided in an embodiment of the present application;
FIG. 1H is a schematic diagram of a transfer and account-arrival scenario provided by an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram of another transaction processing method provided in the embodiments of the present application;
FIG. 3 is a schematic flow chart diagram of another transaction processing method provided in the embodiments of the present application;
FIG. 4 is a schematic diagram of a first human body apparatus according to an embodiment of the present disclosure;
fig. 5A is a block diagram of functional units of a transaction processing device according to an embodiment of the present disclosure;
FIG. 5B is a block diagram illustrating functional elements of another transaction processing device according to an embodiment of the present disclosure;
FIG. 5C is a block diagram of functional elements of another transaction processing device according to an embodiment of the present disclosure;
fig. 5D is a block diagram of functional units of another transaction processing device according to an embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The first human body device and the second human body device related to the embodiments of the present application are both referred to as human body devices, and the human body devices may be devices implanted in a human body, or devices located near the human body, for example, the first human body device may include various handheld devices (smart phones, tablet computers, etc.) with wireless communication functions, vehicle-mounted devices, wearable devices (smart watches, smart bracelets, wireless headsets, augmented reality/virtual reality devices, smart glasses), computing devices or other processing devices connected to wireless modems, and various forms of User Equipment (UE), Mobile Stations (MS), terminal devices (terminal device), artificial limbs, bionic organs (e.g., bionic eyes, artificial hearts, etc.), implanted chips or sensors, and so on. For convenience of description, the above devices may be collectively referred to as a human body device, a human body may be provided with a plurality of human body devices, the human body devices may implement a device for performing communication in cooperation with various sensors (such as a temperature sensor, a blood fat detection sensor, a blood sugar detection sensor, a blood pressure detection sensor, a blood temperature detection sensor, and the like) of the human body and various other human body devices, and a user may wear the human body device on a wrist, put in a bag, bind at a waist, or even implant the human body device in the body.
The following describes embodiments of the present application in detail.
Referring to fig. 1A, fig. 1A is a schematic structural diagram of a human body device disclosed in an embodiment of the present application, the human body device 100 includes a storage and processing circuit 110, and a sensor 170 connected to the storage and processing circuit 110, wherein:
the human body device 100 may comprise control circuitry, which may include storage and processing circuitry 110. The storage and processing circuitry 110 may be a memory, such as a hard drive memory, a non-volatile memory (e.g., flash memory or other electronically programmable read-only memory used to form a solid state drive, etc.), a volatile memory (e.g., static or dynamic random access memory, etc.), etc., and the embodiments of the present application are not limited thereto. The processing circuitry in the storage and processing circuitry 110 may be used to control the operation of the human body apparatus 100. The processing circuitry may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.
The storage and processing circuit 110 may be used to run software in the human body device 100, such as an Internet browsing application, a Voice Over Internet Protocol (VOIP) phone call application, an e-mail application, a media playing application, an operating system function, and the like. Such software may be used to perform control operations such as camera-based image capture, ambient light measurement based on an ambient light sensor, proximity sensor measurement based on a proximity sensor, information display functionality based on status indicators such as status indicator lights of light emitting diodes, touch event detection based on a touch sensor, functionality associated with displaying information on multiple (e.g., layered) display screens, operations associated with performing wireless communication functionality, operations associated with collecting and generating audio signals, control operations associated with collecting and processing button press event data, and other functions in the personal device 100, to name a few, embodiments of the present application are not limited.
The human body apparatus 100 may include an input-output circuit 150. The input-output circuit 150 is operable to cause the human body apparatus 100 to realize input and output of data, i.e., to allow the human body apparatus 100 to receive data from an external device and to allow the human body apparatus 100 to output data from the human body apparatus 100 to the external device. The input-output circuit 150 may further include a sensor 170. The sensors 170 may include ambient light sensors, proximity sensors based on light and capacitance, touch sensors (e.g., based on optical touch sensors and/or capacitive touch sensors, where the touch sensors may be part of a touch display screen or used independently as a touch sensor structure), acceleration sensors, temperature sensors, and other sensors, etc.
Input-output circuit 150 may also include one or more display screens, such as display screen 130. The display 130 may include one or a combination of liquid crystal display, organic light emitting diode display, electronic ink display, plasma display, display using other display technologies. The display screen 130 may include an array of touch sensors (i.e., the display screen 130 may be a touch display screen). The touch sensor may be a capacitive touch sensor formed by a transparent touch sensor electrode (e.g., an Indium Tin Oxide (ITO) electrode) array, or may be a touch sensor formed using other touch technologies, such as acoustic wave touch, pressure sensitive touch, resistive touch, optical touch, and the like, and the embodiments of the present application are not limited thereto.
The human device 100 may also include an audio component 140. The audio component 140 may be used to provide audio input and output functionality for the personal device 100. The audio components 140 in the human device 100 may include a speaker, a microphone, a buzzer, a tone generator, and other components for generating and detecting sound.
The communication circuit 120 may be used to provide the body device 100 with the capability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. The wireless communication circuitry in communication circuitry 120 may include radio-frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless Communication circuitry in Communication circuitry 120 may include circuitry to support Near Field Communication (NFC) by transmitting and receiving Near Field coupled electromagnetic signals. For example, the communication circuit 120 may include a near field communication antenna and a near field communication transceiver. The communications circuitry 120 may also include a cellular telephone transceiver and antenna, a wireless local area network transceiver circuitry and antenna, and so forth. The communication circuit 120 may include a human body communication chip for enabling communication with an external device (e.g., other human body devices, internet of things devices, or cloud-end devices).
The human body apparatus 100 may further include a battery, a power management circuit, and other input-output units 160. The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.
The user can input commands through the input-output circuit 150 to control the operation of the human body device 100, and can use output data of the input-output circuit 150 to enable receiving status information and other outputs from the human body device 100.
In one possible example, Human Body Communication (HBC), also called intra-body communication (IBC), may be understood as a short-distance wireless communication method, which uses the human body as a medium for information transmission, and uses the human body as a cable, the human body device may use a human body communication chip to implement bidirectional data transmission, the human body communication chip may include a transmitter (transmitter) and a receiver (receiver), the human body communication chip may be connected to a plurality of electrodes (electrodes), in this embodiment, the plurality of fingers may be 2 or more, the receiver may be used as an input device of the human body device, the transmitter may be used as an output device of the human body device, and the transmitter and the receiver are respectively connected to at least one electrode, wherein the connection method may be a wireless connection or a wired connection, and the human body communication chip may input weak electrical signals into the human body through the electrodes, therefore, the transmission of information is realized, the electrode can be carried with a sensor or not, and the sensor can be used for detecting various physiological characteristics (such as blood vessel diameter, blood oxygen content, blood fat content and the like) of a human body and working parameters (such as current, voltage and the like) of human body equipment. In a specific implementation, the human body equipment is implanted into a human body or worn on the human body.
Experiments prove that researches on the electric conduction capability of biological tissues show that along with the increase of signal frequency, the dielectric constant of most living tissues or organs is greatly reduced, and meanwhile, the electric conductivity is obviously improved, which means that human body communication is carried out at higher frequency so as to reduce the attenuation of signals in the communication process. However, when the frequency is increased, the wavelength of the signal is correspondingly shortened, and when the wavelength is close to the height of a person, the person can emit electromagnetic waves to the surroundings as a radio frequency antenna, so that the dissipation of the communication signal is caused, even the signal coupled through the air gradually exceeds the signal coupled through the person, and the signal with the too high frequency is not suitable for the person to communicate. Therefore, in most studies on human body communication, the signal frequency can be selected in the range of 10kHz to 100 MHz.
Further, referring to fig. 1B and 1C, specifically, a in fig. 1B, a receiver is used as an input, a transmitter is used as an output, and a human body is used as a medium to generate a current, thereby achieving the purpose of communication. As shown in fig. 1B, the schematic diagram of different transmission modes of human body communication is divided into two communication modes, namely a capacitive coupling mode and a current coupling mode. Specifically, as shown in fig. 1B, a is a general communication mode, B is a capacitive coupling mode, and C is a current coupling mode, in the two transmission modes, the capacitive coupling mode (B) mainly utilizes oscillation of the transmitter to generate an electric field for a human body, and the receiver detects a change condition of the electric field, so as to implement human body communication, and a specific structure can also refer to fig. 1C; the current coupling mode (c diagram) realizes the intra-body communication by the electromagnetic waves generated by 2 electrodes which can be connected through the transmitter and 2 electrodes which are connected through the receiver, and the specific structure can also refer to fig. 1D.
As shown in fig. 1E, the structure diagram of human body communication is shown, wherein the human body device may be implanted in a human body or worn on the body, and the human body device may be connected to other human body devices (sensors), so as to form a human body-based body area network, and the body area network may further communicate with devices outside the human body (such as internet of things devices, local area network devices, or cloud devices) through the internet.
The body device described in fig. 1A may be a first body device, where the first body device is disposed on a first body, the first body device includes a body communication chip and a processing circuit, the body communication chip is connected to a handshake detection sensor, and may be used to implement the following transaction processing method:
the handshake detection sensor is used for acquiring target handshake parameters when the first human body and the second human body handshake, wherein the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier;
the human body communication chip is used for acquiring the second account information and the second equipment identifier;
the processing circuit is configured to determine a target transaction instruction corresponding to the target handshake parameter, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier;
the human body communication chip is also used for executing the corresponding operation of the target transaction instruction.
Wherein, the handshake detection sensor may be at least one of the following: smart gloves, implantable sensors (e.g., pressure sensors, ultrasonic sensors, proximity sensors, temperature sensors, etc.), smart rings, smart bracelets, and the like, without limitation.
In one possible example, in terms of the determining the target transaction instruction corresponding to the target handshake parameter, the processing circuit is specifically configured to:
and determining the target transaction instruction corresponding to the target handshake parameter according to a mapping relation between a preset handshake parameter and the transaction instruction.
In one possible example, the first human body device further comprises: an environmental sensor, wherein,
the environment sensor is used for acquiring current environment parameters;
the human body communication chip is also specifically used for determining a target networking mode corresponding to the current environmental parameter; and establishing communication connection between the first human body equipment and the second human body equipment according to the target networking mode.
Wherein, the environment sensor may be at least one of the following: temperature sensors, humidity sensors, microphones, ambient light sensors, positioning chips, etc., without limitation thereto.
In one possible example, the processing circuit is further specifically configured to: matching the target handshake parameters with preset handshake parameters;
and executing the step of acquiring the second account information and the second equipment identifier by the human body communication chip when the target handshake parameters are successfully matched with the preset handshake parameters.
In one possible example, the target handshake parameter is a target handshake strength, and the preset handshake parameter is a preset handshake strength range;
in the aspect of matching the target handshake parameters with preset handshake parameters, the processing circuit is specifically configured to:
acquiring a handshake current change curve in a first preset time period;
sampling the handshake current change curve to obtain a plurality of current values;
determining an average current value from the plurality of current values;
determining a first handshake strength corresponding to the average current value according to a mapping relation between a preset current value and the handshake strength;
performing mean square error operation according to the current values to obtain a target mean square error;
determining a target handshake strength adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the handshake strength adjustment coefficient;
adjusting the first handshaking intensity according to the target handshaking intensity adjustment coefficient to obtain the target handshaking intensity;
judging whether the target handshake strength is in the preset handshake strength range;
and when the target handshake strength is within the preset handshake strength range, the target handshake parameters are confirmed to be successfully matched with the preset handshake parameters.
In one possible example, the first human body device further comprises: a physiological detection sensor, wherein,
the physiological detection sensor is used for acquiring a target physiological state parameter of the first human body;
the processing circuit is further specifically configured to determine a target emotion type corresponding to the first human body according to the target physiological state parameter;
and when the target emotion type is a preset emotion type, the human body communication chip executes the operation corresponding to the target transaction instruction.
In a possible example, when the target physiological state parameter is a heart rate variation curve within a second preset time period, in the determining, according to the target physiological state parameter, the target emotion corresponding to the first human body, the processing circuit is specifically configured to:
sampling the heart rate change curve to obtain a plurality of heart rate values;
carrying out mean value operation according to the plurality of heart rate values to obtain an average heart rate value;
determining a target heart rate grade corresponding to the average heart rate value;
determining a target first emotion value corresponding to the target heart rate grade according to a mapping relation between a preset heart rate grade and the first emotion value;
performing mean square error operation according to the plurality of heart rate values to obtain a second target mean square error;
determining a target second emotion value corresponding to a second target mean square error according to a mapping relation between a preset mean square error and the second emotion value;
determining a target weight value pair corresponding to the target heart rate level according to a mapping relation between a preset heart rate level and the weight value pair, wherein the weight value pair comprises a first weight value and a second weight value, the first weight value is a weight value corresponding to the first emotion value, and the second weight value is a weight value corresponding to the second emotion value;
carrying out weighted operation according to the target first emotion value, the target second emotion value and the target weight value to obtain a final emotion value;
and determining the target emotion type corresponding to the target emotion value according to a mapping relation between a preset emotion value and an emotion type.
Referring to fig. 1F, fig. 1F is a schematic flow chart of a transaction processing method according to an embodiment of the present application, and as shown in the drawing, the transaction processing method is applied to the first human body device shown in fig. 1A, the first human body device is disposed on a first human body, the first human body device includes a human body communication chip and a processor, the human body communication chip is connected to a handshake detection sensor, and the transaction processing method includes:
101. when the first human body and the second human body perform handshake, target handshake parameters are obtained, the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier.
The embodiment of the application can be applied to a transaction scene, and the transaction scene can be as follows: payment scenarios, virtual currency transactions, stock transactions, bond transactions, mortgage transactions, and the like, without limitation, the target handshake parameters may be at least one of: the hand shaking force, the hand shaking duration, the hand shaking area, the hand shaking times, the shaking parameters (frequency, amplitude and the like) of the hand during hand shaking, the hand shaking temperature, the hand shaking posture and the like are not limited herein. The handshake detection sensor may be at least one of: smart gloves, implantable sensors (e.g., pressure sensors, ultrasonic sensors, proximity sensors, temperature sensors, etc.), smart rings, smart bracelets, and the like, without limitation. The first device identification may be used to obtain all parameters of the first human body device, and specifically, the first device identification may be one of the following: the physical address of the first human body device, the IP address of the first human body device, the name of the first human body device, the model of the first human body device, the electric quantity of the first human body device, the working parameters of the first human body device, and the like are not limited herein. The first human body device may bind first account information, the first account information may store bank account information or third party account information corresponding to the first human body, the first human body device may further include a first device identifier, correspondingly, the second human body device may bind second account information, the second account information may store bank account information or third party account information corresponding to the second human body, and the second human body device may further include a second device identifier.
In specific implementation, as shown in fig. 1G, a first human body may be provided with a first human body device, a second human body may be provided with a second human body device, the first human body may further wear a handshake detection sensor, and the first human body device may acquire target handshake parameters through the handshake detection sensor when the first human body and the second human body handshake. In this embodiment of the application, the transaction amount may be input before or during or after the handshake, which is not limited herein, the transaction amount may be input by any party in the double-issue transaction, and the input mode may be: voice input, touch input, other device input to a human device, and the like.
102. And acquiring the second account information and the second equipment identification.
In the specific implementation, communication connection can be established between the first human body device and the second human body device, and then the first human body device can acquire the second account information and the second device identifier, or the human body can be used as a medium, the second human body device can carry the second account information and the second device identifier in an electric signal, the first human body device receives the electric signal, and the second account information and the second device identifier are obtained by analyzing the electric signal.
In one possible example, the following steps may be further included between the above step 101 and step 102:
a1, acquiring current environment parameters;
a2, determining a target networking mode corresponding to the current environment parameter;
a3, establishing a communication connection between the first human body device and the second human body device according to the target networking mode.
In this embodiment, the environmental parameter may be at least one of the following: geographic location, ambient temperature, ambient humidity, ambient volume, weather, ambient light, etc., without limitation. The networking mode can be at least one of the following modes: the first personal device may be configured with various environmental sensors, and the environmental sensors may be at least one of the following: temperature sensors, humidity sensors, microphones, ambient light sensors, positioning chips, etc., without limitation thereto.
In the concrete implementation, different networking modes can be adopted for networking between the first human body equipment and the second human body equipment in different environments. Specifically, mapping relations between the environmental parameters and networking modes in advance can be prestored in the first human body device, and then, after the current environmental parameters are obtained, a target networking mode corresponding to the current environmental parameters can be determined according to the mapping relations, and communication connection between the first human body device and the second human body device is established according to the target networking mode.
In one possible example, the following steps may be further included between the above step 101 and step 102:
b1, matching the target handshake parameters with preset handshake parameters;
b2, when the target handshake parameters are successfully matched with the preset handshake parameters, executing the step of acquiring the second account information and the second device identifier.
The preset handshake parameters may be pre-saved in the first human body device, and the preset handshake parameters may be at least one of the following: the hand shaking force, the hand shaking duration, the hand shaking area, the hand shaking times, the shaking parameters (frequency, amplitude and the like) of the hand during hand shaking, the hand shaking temperature, the hand shaking posture and the like are not limited herein. In specific implementation, the first human body device can match the target handshake parameters with the preset handshake parameters, and when the target handshake parameters are successfully matched with the preset handshake parameters, step 102 can be executed, otherwise, step 102 can not be executed, so that transaction safety can be ensured, after all, the transaction needs a user to trigger an action, and thus, the occurrence of false touch is avoided.
In one possible example, the target handshake parameter is a target handshake strength, and the preset handshake parameter is a preset handshake strength range; in the step B1, the matching of the target handshake parameters with the preset handshake parameters may include the following steps:
b11, acquiring a handshake current change curve in a first preset time period;
b12, sampling the handshake current change curve to obtain a plurality of current values;
b13, determining an average current value according to the current values;
b14, determining a first handshake strength corresponding to the average current value according to a preset mapping relation between the current value and the handshake strength;
b15, performing mean square error operation according to the current values to obtain a first target mean square error;
b16, determining a target handshake strength adjustment coefficient corresponding to the first target mean square error according to a mapping relation between a preset mean square error and the handshake strength adjustment coefficient;
b17, adjusting the first handshake strength according to the target handshake strength adjustment coefficient to obtain the target handshake strength;
b18, judging whether the target handshake strength is in the preset handshake strength range;
b19, when the target handshake strength is in the preset handshake strength range, confirming that the target handshake parameters are successfully matched with the preset handshake parameters.
Wherein, the first preset time period and the preset handshaking force range can be preset or default by the system. The first human body equipment can store a mapping relation between a preset current value and the handshake strength and a mapping relation between a preset mean square error and the handshake strength adjusting coefficient in advance.
In the concrete realization, because the hand is the limbs contact between people, consequently, can produce certain influence to human body communication's electric current of shaking hands, of course, the dynamics of shaking hands of difference, then it is different to the electric current influence, consequently, can realize the dynamics of shaking hands and detect based on the change of electric current, the input current of first human equipment when shaking hands can be understood to above-mentioned electric current of shaking hands. The first human body device may obtain a handshake current variation curve of a first preset time period, and sample the current variation curve to obtain a plurality of current values, where a specific sampling manner may be to sample at preset time intervals, or to sample randomly, and the preset time intervals may be preset or default to a system. Furthermore, the first human body device may determine an average current value according to the plurality of current values, and may determine a first handshake strength corresponding to the average current value according to a mapping relationship between a preset current value and the handshake strength, and further, the first human body device may perform a mean square error operation according to the plurality of current values to obtain a first target mean square error, where the mean square error reflects the stability of the current to some extent, and the stability of the current signal reflects the stability of the handshake strength from the side, so the first human body device may determine a target handshake strength adjustment coefficient corresponding to the first target mean square error according to the mapping relationship between the preset mean square error and the handshake strength adjustment coefficient, in this embodiment, the value range of the handshake strength adjustment coefficient is-0.1 to 0.1, further, the first human body device may adjust the first handshake strength according to the target handshake strength adjustment coefficient, obtaining the target handshake strength, wherein the specific calculation mode of the target handshake strength can refer to the following formula:
target handshake strength (1+ target handshake strength adjustment coefficient) first handshake strength
So, can tentatively confirm the dynamics of shaking hands through the current value to can adjust the purpose in order to reach the regulation dynamics of shaking hands according to current stability (mean square error), help the accurate dynamics of shaking hands to detect.
103. Determining a target transaction instruction corresponding to the target handshake parameters, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier.
In this embodiment of the present application, the transaction instruction may be a single instruction or a combined instruction, and the instruction content may be at least one of the following: the authentication instruction, the transfer instruction, the payment instruction (payment instruction), the deduction instruction, the collection instruction, and the like, which are not limited herein, for example, the transaction instruction is a transfer instruction, and for example, the transaction instruction may be: authentication command + transfer command. The target handshake parameters may include a first target handshake parameter and a second target handshake parameter, where the first target handshake parameter may be used to implement an authentication operation, and the second target handshake parameter may be used to implement determining a corresponding target transaction instruction.
In a specific implementation, different handshake parameters may correspond to different transaction instructions. The target transaction instruction can carry first account information, a first device identifier, second account information and a second device identifier, so that transactions of two parties can be realized, and the transactions of the two parties can be payment, collection, transfer, account arrival, authentication (identity authentication), mortgage (real estate, patents, bonds and the like) and the like.
In one possible example, the step 103 of determining the target transaction instruction corresponding to the target handshake parameter may include the following steps:
and determining the target transaction instruction corresponding to the target handshake parameter according to a mapping relation between a preset handshake parameter and the transaction instruction.
The first human body device may pre-store a mapping relationship between a preset handshake parameter and a transaction instruction, and further may determine a target transaction instruction corresponding to the target handshake parameter according to the mapping relationship, and provide a mapping table corresponding to the mapping relationship as follows:
handshaking parameters Transaction instructions
Handshake parameter
1 Transaction instruction 1
Handshake parameters 2 Transaction instruction 2
Handshake parameter n Transaction instruction n
104. And executing the corresponding operation of the target transaction instruction.
In a specific implementation, the first human body device may perform an operation corresponding to the target transaction instruction by interacting with a transaction server (e.g., a bank server or a third-party server), where the transaction server may be one or more servers. For example, taking a transaction instruction as an example of a transfer instruction, the first human body device may obtain a transfer amount, specifically, the transfer amount may be input by a user through a touch screen of the first human body device, or input by voice, or sent to the first human body device by another device, and the like, and send the transfer amount to the transaction server, and when the transaction server detects that the amount of the account corresponding to the first human body device is greater than the transfer amount, perform a transfer operation, and send a notification message that the transfer is successful to the first human body device. As shown in fig. 1H, when the first human body device transfers 1000.00 money to zhang san, the user may be prompted whether to confirm the transfer, and when the user confirms the transfer, the second human body device (zhang san) may display a transfer message.
In a possible example, between the above steps 103 to 104, the following steps may be further included:
c1, acquiring the target physiological state parameter of the first human body;
c2, determining a target emotion type corresponding to the first human body according to the target physiological state parameter;
and C3, when the target emotion type is a preset emotion type, executing the corresponding operation of the target transaction instruction.
In this embodiment, the physiological state parameter may be various parameters for reflecting the physiological function of the user, and specifically, the physiological state parameter may be at least one of the following parameters: heart rate, blood pressure, blood temperature, blood fat content, blood sugar content, thyroxine content, epinephrine content, platelet content, blood oxygen content and the like, and various sensors can be implanted into a human body, and physiological state parameter detection can be realized through the various sensors. The mood type may be at least one of: excitement, depression, heaviness, crying, calmness, irritability, and the like, without limitation. In specific implementation, the first human body device may obtain a target physiological state parameter of the first human body through various sensors, the first human body device may further pre-store a mapping relationship between a preset physiological state parameter and an emotion type, and further, may determine a target emotion type corresponding to the target physiological state parameter according to the mapping relationship, when the target emotion type is the preset emotion type, step 104 may be performed, otherwise, step 104 may not be performed, for example, shopping itself is a happy event, and if hesitation or anxiety occurs, in addition, or a user is threatened, no transaction is performed, so that transaction security may be ensured, and rational consumption may also be ensured to a certain extent.
Further, when the target physiological state parameter is a heart rate variation curve within a second preset time period, the step C2 of determining the target emotion corresponding to the first human body according to the target physiological state parameter may include the following steps:
c21, sampling the heart rate change curve to obtain a plurality of heart rate values;
c22, carrying out mean value operation according to the plurality of heart rate values to obtain an average heart rate value;
c23, determining a target heart rate grade corresponding to the average heart rate value;
c24, determining a target first emotion value corresponding to the target heart rate grade according to a mapping relation between a preset heart rate grade and the first emotion value;
c25, performing mean square error operation according to the plurality of heart rate values to obtain a second target mean square error;
c26, determining a target second emotion value corresponding to a second target mean square error according to a mapping relation between a preset mean square error and the second emotion value;
c27, determining a target weight value pair corresponding to the target heart rate level according to a preset mapping relation between the heart rate level and the weight value pair, wherein the weight value pair comprises a first weight value and a second weight value, the first weight value is a weight value corresponding to the first emotion value, and the second weight value is a weight value corresponding to the second emotion value;
c28, carrying out weighted operation according to the target first emotion value, the target second emotion value and the target weight value to obtain a final emotion value;
and C29, determining the target emotion type corresponding to the target emotion value according to a preset mapping relation between the emotion value and the emotion type.
Wherein, the second preset time period can be set by the user or the system defaults. The first human body device can pre-store a mapping relation between a preset heart rate grade and a first emotion value, a mapping relation between a preset mean square error and a second emotion value, a mapping relation between a preset heart rate grade and a weight pair, and a mapping relation between a preset emotion value and an emotion type, wherein the weight pair can comprise a first weight and a second weight, the first weight is a weight corresponding to the first emotion value, the second weight is a weight corresponding to the second emotion value, the sum of the first weight and the second weight can be 1, and the value ranges of the first weight and the second weight are both 0-1. In this embodiment of the application, the target physiological state parameter may be a heart rate variation curve within a second preset time period, and the emotion may be evaluated through a heart rate value.
In specific implementation, the first human body device may sample the heart rate change curve, and the specific sampling mode may be: the method comprises the steps of uniformly sampling or randomly sampling to obtain a plurality of heart rate values, performing mean value operation according to the plurality of heart rate values to obtain an average heart rate value, pre-storing a mapping relation between the heart rate values and heart rate levels in first human body equipment, determining a target heart rate level corresponding to the average heart rate value according to the mapping relation, determining a target first emotion value corresponding to the target heart rate level according to the preset mapping relation between the heart rate level and the first emotion value, performing mean square error operation according to the plurality of heart rate values to obtain a second target mean square error, and determining a target second emotion value corresponding to the second target mean square error according to the preset mapping relation between the mean square error and the second emotion value.
Further, the first human body device may further determine a target weight value pair corresponding to the target heart rate level according to a mapping relationship between the preset heart rate level and the weight value pair, where the target weight value pair may include a target first weight value and a target first weight value, the target first weight value is a weight value corresponding to a target first emotion value, and the target second weight value is a weight value corresponding to a target second emotion value, and further, the first human body device may perform weighting operation according to the target first emotion value, the target second emotion value, the target first weight value and the target second weight value to obtain a final emotion value, where a specific calculation formula is as follows:
final emotion value ═ target first emotion value · target first weight + target second emotion value · target second weight
Furthermore, the first human body device may determine the target emotion type corresponding to the target emotion value according to the preset mapping relationship between the emotion value and the emotion type. Wherein, above-mentioned average heart rate has reflected user's heart rate value, and the mean square error of heart rate has reflected heart rate stability, and the heart rate changes in certain extent promptly, and its change has reflected mood volatility, for example, the heart rate value fluctuates between two kinds of emotions, just need adjust through mean square error in this kind of time to, can know user's specific emotion more accurately, reflect user's emotion through two dimensions of average heart rate and mean square error, can accurate definite user's mood type.
It can be seen that the transaction processing method described in the embodiment of the application can realize corresponding transaction operation by detecting the handshake action when two persons handshake, thereby improving the transaction convenience. In a specific implementation, the implementation manner of the second body device is similar to the principle of the first body device, and is not described herein again.
Referring to fig. 2 in keeping with the embodiment shown in fig. 1F, fig. 2 is a schematic flow chart of a transaction processing method provided in an embodiment of the present application, and as shown in the figure, the transaction processing method is applied to a first human body device shown in fig. 1A, the first human body device is disposed on a first human body, the first human body device includes a human body communication chip and a processing circuit, the human body communication chip is connected to a handshake detection sensor, and the transaction processing method includes:
201. when the first human body and the second human body perform handshake, target handshake parameters are obtained, the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier.
202. And acquiring current environment parameters.
203. And determining a target networking mode corresponding to the current environment parameter.
204. And establishing communication connection between the first human body equipment and the second human body equipment according to the target networking mode.
205. And acquiring the second account information and the second equipment identification.
206. Determining a target transaction instruction corresponding to the target handshake parameters, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier.
207. And executing the corresponding operation of the target transaction instruction.
The detailed description of the steps 201-207 can refer to the steps 101-104 described in the above fig. 1F, and will not be described herein again.
It can be seen that the transaction processing method described in the embodiment of the application can realize corresponding transaction operation by detecting the handshake action when two persons handshake, thereby improving the transaction convenience.
Referring to fig. 3, in accordance with the embodiment shown in fig. 1F, fig. 3 is a schematic flow chart of a transaction processing method provided in an embodiment of the present application, and as shown in the figure, the transaction processing method is applied to a first human body device shown in fig. 1A, the first human body device is disposed on a first human body, the first human body device includes a human body communication chip and a processing circuit, the human body communication chip is connected to a handshake detection sensor, and the transaction processing method includes:
301. when the first human body and the second human body perform handshake, target handshake parameters are obtained, the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier.
302. And matching the target handshake parameters with preset handshake parameters.
303. And when the target handshake parameters are successfully matched with the preset handshake parameters, acquiring the second account information and the second equipment identification.
304. Determining a target transaction instruction corresponding to the target handshake parameters, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier.
305. And executing the corresponding operation of the target transaction instruction.
The detailed descriptions of the steps 301-305 can refer to the steps 101-104 described in the above fig. 1F, and are not repeated herein.
It can be seen that the transaction processing method described in the embodiment of the application can realize corresponding transaction operation, promote transaction convenience and ensure transaction security by detecting specific handshake actions when two persons handshake.
In keeping with the above embodiments, please refer to fig. 4, where fig. 4 is a schematic structural diagram of a first human body device provided in an embodiment of the present application, and as shown in the figure, the first human body device includes a processor, a memory, a human body communication chip connected to a handshake detection sensor, and one or more programs, the first human body device is disposed on a first human body, and the one or more programs are stored in the memory and configured to be executed by the processor, where in an embodiment of the present application, the programs include instructions for performing the following steps:
when the first human body and a second human body are used for handshaking, target handshaking parameters are obtained, the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier;
acquiring the second account information and the second device identification;
determining a target transaction instruction corresponding to the target handshake parameters, wherein the target transaction instruction carries the first account information, the first device identifier, the second account information and the second device identifier;
and executing the corresponding operation of the target transaction instruction.
It can be seen that the first human body equipment described in the embodiment of the application can realize corresponding transaction operation by detecting the handshake action when two persons handshake, and the transaction convenience is improved.
In one possible example, in the determining the target transaction instruction corresponding to the target handshake parameter, the program includes instructions for performing the following steps:
and determining the target transaction instruction corresponding to the target handshake parameter according to a mapping relation between a preset handshake parameter and the transaction instruction.
In one possible example, the program further includes instructions for performing the steps of:
acquiring current environmental parameters;
determining a target networking mode corresponding to the current environment parameter;
and establishing communication connection between the first human body equipment and the second human body equipment according to the target networking mode.
In one possible example, the program further includes instructions for performing the steps of:
matching the target handshake parameters with preset handshake parameters;
and when the target handshake parameters are successfully matched with the preset handshake parameters, executing the step of acquiring the second account information and the second device identifier.
In one possible example, the target handshake parameter is a target handshake strength, and the preset handshake parameter is a preset handshake strength range;
in the aspect of matching the target handshake parameters with preset handshake parameters, the program includes instructions for performing the following steps:
acquiring a handshake current change curve in a first preset time period;
sampling the handshake current change curve to obtain a plurality of current values;
determining an average current value from the plurality of current values;
determining a first handshake strength corresponding to the average current value according to a mapping relation between a preset current value and the handshake strength;
performing mean square error operation according to the current values to obtain a target mean square error;
determining a target handshake strength adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the handshake strength adjustment coefficient;
adjusting the first handshaking intensity according to the target handshaking intensity adjustment coefficient to obtain the target handshaking intensity;
judging whether the target handshake strength is in the preset handshake strength range;
and when the target handshake strength is within the preset handshake strength range, the target handshake parameters are confirmed to be successfully matched with the preset handshake parameters.
In one possible example, the program further includes instructions for performing the steps of:
acquiring a target physiological state parameter of the first human body;
determining a target emotion type corresponding to the first human body according to the target physiological state parameter;
and when the target emotion type is a preset emotion type, executing the corresponding operation of the target transaction instruction.
In one possible example, when the target physiological state parameter is a heart rate variation curve within a second preset time period, in the determining the target emotion corresponding to the first human body according to the target physiological state parameter, the program includes instructions for performing the following steps:
sampling the heart rate change curve to obtain a plurality of heart rate values;
carrying out mean value operation according to the plurality of heart rate values to obtain an average heart rate value;
determining a target heart rate grade corresponding to the average heart rate value;
determining a target first emotion value corresponding to the target heart rate grade according to a mapping relation between a preset heart rate grade and the first emotion value;
performing mean square error operation according to the plurality of heart rate values to obtain a second target mean square error;
determining a target second emotion value corresponding to a second target mean square error according to a mapping relation between a preset mean square error and the second emotion value;
determining a target weight value pair corresponding to the target heart rate level according to a mapping relation between a preset heart rate level and the weight value pair, wherein the weight value pair comprises a first weight value and a second weight value, the first weight value is a weight value corresponding to the first emotion value, and the second weight value is a weight value corresponding to the second emotion value;
carrying out weighted operation according to the target first emotion value, the target second emotion value and the target weight value to obtain a final emotion value;
and determining the target emotion type corresponding to the target emotion value according to a mapping relation between a preset emotion value and an emotion type.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the human body device includes hardware structures and/or software modules for performing the respective functions in order to realize the above functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the human body equipment may be divided according to the above method examples, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 5A is a block diagram of functional units of a transaction processing apparatus 500 according to an embodiment of the present application. This transaction processing apparatus 500 is applied to human body equipment, is applied to first human body equipment, first human body equipment sets up in first human body, apparatus 500 includes: a first acquisition unit 501, a second acquisition unit 502, a first determination unit 503, and an execution unit 504, wherein,
the first obtaining unit 501 is configured to obtain a target handshake parameter when the first human body handshakes with a second human body, where the first human body device corresponds to first account information and a first device identifier, the second human body corresponds to a second human body device, and the second human body device corresponds to second account information and a second device identifier;
the second obtaining unit 502 is configured to obtain the second account information and the second device identifier;
the first determining unit 503 is configured to determine a target transaction instruction corresponding to the target handshake parameters, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier;
the execution unit 504 is configured to execute an operation corresponding to the target transaction instruction.
It can be seen that the transaction processing apparatus described in this embodiment of the application is applied to a first human body device, the first human body device is disposed on a first human body, when the first human body handshakes with a second human body, a target handshake parameter is obtained, the first human body device corresponds to first account information and a first device identifier, the second human body corresponds to a second human body device, the second human body device corresponds to second account information and a second device identifier, second account information and a second device identifier are obtained, a target transaction instruction corresponding to the target handshake parameter is determined, the target transaction instruction carries the first account information, the first device identifier, the second account information and the second device identifier, and an operation corresponding to the target transaction instruction is executed.
In one possible example, in terms of the determining the target transaction instruction corresponding to the target handshake parameter, the first determining unit 503 is specifically configured to:
and determining the target transaction instruction corresponding to the target handshake parameter according to a mapping relation between a preset handshake parameter and the transaction instruction.
In one possible example, as shown in fig. 5B, fig. 5B is a further modified structure of the transaction processing device 500 shown in fig. 5A, which may further include, compared with fig. 5A: the third obtaining unit 505, the second determining unit 506, and the networking unit 507 are specifically as follows:
a third obtaining unit 505, configured to obtain a current environment parameter;
a second determining unit 506, configured to determine a target networking mode corresponding to the current environment parameter;
a networking unit 507, configured to establish a communication connection between the first human body device and the second human body device according to the target networking manner.
In one possible example, as shown in fig. 5C, fig. 5C is a further modified structure of the transaction processing device 500 shown in fig. 5A, which may further include, compared with fig. 5A: the matching unit 508 is specifically as follows:
a matching unit 508, configured to match the target handshake parameters with preset handshake parameters;
when the target handshake parameters are successfully matched with the preset handshake parameters, the second obtaining unit 502 performs the step of obtaining the second account information and the second device identifier.
In one possible example, the target handshake parameter is a target handshake strength, and the preset handshake parameter is a preset handshake strength range;
in the aspect of matching the target handshake parameters with preset handshake parameters, the matching unit 508 is specifically configured to:
acquiring a handshake current change curve in a first preset time period;
sampling the handshake current change curve to obtain a plurality of current values;
determining an average current value from the plurality of current values;
determining a first handshake strength corresponding to the average current value according to a mapping relation between a preset current value and the handshake strength;
performing mean square error operation according to the current values to obtain a target mean square error;
determining a target handshake strength adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the handshake strength adjustment coefficient;
adjusting the first handshaking intensity according to the target handshaking intensity adjustment coefficient to obtain the target handshaking intensity;
judging whether the target handshake strength is in the preset handshake strength range;
and when the target handshake strength is within the preset handshake strength range, the target handshake parameters are confirmed to be successfully matched with the preset handshake parameters.
In one possible example, as shown in fig. 5D, fig. 5D is a further modified structure of the transaction processing device 500 shown in fig. 5A, which may further include, compared with fig. 5A: the fourth obtaining unit 509 and the third determining unit 510 are specifically as follows:
a fourth obtaining unit 509, configured to obtain a target physiological state parameter of the first human body;
a third determining unit 510, configured to determine a target emotion type corresponding to the first human body according to the target physiological state parameter;
and when the target emotion type is a preset emotion type, the execution unit 504 executes an operation corresponding to the target transaction instruction.
In a possible example, when the target physiological state parameter is a heart rate variation curve within a second preset time period, in the determining the target emotion corresponding to the first human body according to the target physiological state parameter, the third determining unit 510 is specifically configured to:
sampling the heart rate change curve to obtain a plurality of heart rate values;
carrying out mean value operation according to the plurality of heart rate values to obtain an average heart rate value;
determining a target heart rate grade corresponding to the average heart rate value;
determining a target first emotion value corresponding to the target heart rate grade according to a mapping relation between a preset heart rate grade and the first emotion value;
performing mean square error operation according to the plurality of heart rate values to obtain a second target mean square error;
determining a target second emotion value corresponding to a second target mean square error according to a mapping relation between a preset mean square error and the second emotion value;
determining a target weight value pair corresponding to the target heart rate level according to a mapping relation between a preset heart rate level and the weight value pair, wherein the weight value pair comprises a first weight value and a second weight value, the first weight value is a weight value corresponding to the first emotion value, and the second weight value is a weight value corresponding to the second emotion value;
carrying out weighted operation according to the target first emotion value, the target second emotion value and the target weight value to obtain a final emotion value;
and determining the target emotion type corresponding to the target emotion value according to a mapping relation between a preset emotion value and an emotion type.
It is to be understood that the functions of each program module of the transaction processing apparatus of this embodiment can be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process thereof can refer to the related description of the foregoing method embodiment, which is not described herein again.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments, and the computer includes a human body device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a body device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (17)

1. A first human body device provided on a first human body, the first human body device including a human body communication chip and a processing circuit, the human body communication chip being connected to a handshake detection sensor, the method comprising:
the handshake detection sensor is used for acquiring target handshake parameters when the first human body and the second human body handshake, wherein the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier;
the human body communication chip is used for acquiring the second account information and the second equipment identifier;
the processing circuit is configured to determine a target transaction instruction corresponding to the target handshake parameter, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier;
the human body communication chip is also used for executing the corresponding operation of the target transaction instruction.
2. The first human body device of claim 1, wherein in the determining a target transaction instruction corresponding to the target handshake parameter, the processing circuit is specifically configured to:
and determining the target transaction instruction corresponding to the target handshake parameter according to a mapping relation between a preset handshake parameter and the transaction instruction.
3. The first human body apparatus according to claim 1 or 2, characterized in that the first human body apparatus further comprises: an environmental sensor, wherein,
the environment sensor is used for acquiring current environment parameters;
the human body communication chip is also specifically used for determining a target networking mode corresponding to the current environmental parameter; and establishing communication connection between the first human body equipment and the second human body equipment according to the target networking mode.
4. The first human body apparatus according to any one of claims 1 to 3,
the processing circuit is further specifically configured to: matching the target handshake parameters with preset handshake parameters;
and executing the step of acquiring the second account information and the second equipment identifier by the human body communication chip when the target handshake parameters are successfully matched with the preset handshake parameters.
5. The first human device according to claim 4, wherein the target handshake parameter is a target handshake strength, and the preset handshake parameter is a preset handshake strength range;
in the aspect of matching the target handshake parameters with preset handshake parameters, the processing circuit is specifically configured to:
acquiring a handshake current change curve in a first preset time period;
sampling the handshake current change curve to obtain a plurality of current values;
determining an average current value from the plurality of current values;
determining a first handshake strength corresponding to the average current value according to a mapping relation between a preset current value and the handshake strength;
performing mean square error operation according to the current values to obtain a target mean square error;
determining a target handshake strength adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the handshake strength adjustment coefficient;
adjusting the first handshaking intensity according to the target handshaking intensity adjustment coefficient to obtain the target handshaking intensity;
judging whether the target handshake strength is in the preset handshake strength range;
and when the target handshake strength is within the preset handshake strength range, the target handshake parameters are confirmed to be successfully matched with the preset handshake parameters.
6. The first human body apparatus according to any one of claims 1-5, characterized in that the first human body apparatus further comprises: a physiological detection sensor, wherein,
the physiological detection sensor is used for acquiring a target physiological state parameter of the first human body;
the processing circuit is further specifically configured to determine a target emotion type corresponding to the first human body according to the target physiological state parameter;
and when the target emotion type is a preset emotion type, the human body communication chip executes the operation corresponding to the target transaction instruction.
7. The first human body device of claim 6, wherein, when the target physiological state parameter is a heart rate variation curve within a second preset time period, the processing circuit is specifically configured to, in the determining the target emotion corresponding to the first human body according to the target physiological state parameter:
sampling the heart rate change curve to obtain a plurality of heart rate values;
carrying out mean value operation according to the plurality of heart rate values to obtain an average heart rate value;
determining a target heart rate grade corresponding to the average heart rate value;
determining a target first emotion value corresponding to the target heart rate grade according to a mapping relation between a preset heart rate grade and the first emotion value;
performing mean square error operation according to the plurality of heart rate values to obtain a second target mean square error;
determining a target second emotion value corresponding to a second target mean square error according to a mapping relation between a preset mean square error and the second emotion value;
determining a target weight value pair corresponding to the target heart rate level according to a mapping relation between a preset heart rate level and the weight value pair, wherein the weight value pair comprises a first weight value and a second weight value, the first weight value is a weight value corresponding to the first emotion value, and the second weight value is a weight value corresponding to the second emotion value;
carrying out weighted operation according to the target first emotion value, the target second emotion value and the target weight value to obtain a final emotion value;
and determining the target emotion type corresponding to the target emotion value according to a mapping relation between a preset emotion value and an emotion type.
8. A transaction processing method is applied to a first human body device, the first human body device is arranged on a first human body, and the method comprises the following steps:
when the first human body and a second human body are used for handshaking, target handshaking parameters are obtained, the first human body equipment corresponds to first account information and a first equipment identifier, the second human body corresponds to second human body equipment, and the second human body equipment corresponds to second account information and a second equipment identifier;
acquiring the second account information and the second device identification;
determining a target transaction instruction corresponding to the target handshake parameters, wherein the target transaction instruction carries the first account information, the first device identifier, the second account information and the second device identifier;
and executing the corresponding operation of the target transaction instruction.
9. The method of claim 8, wherein determining the target transaction instruction corresponding to the target handshake parameter comprises:
and determining the target transaction instruction corresponding to the target handshake parameter according to a mapping relation between a preset handshake parameter and the transaction instruction.
10. The method according to claim 8 or 9, characterized in that the method further comprises:
acquiring current environmental parameters;
determining a target networking mode corresponding to the current environment parameter;
and establishing communication connection between the first human body equipment and the second human body equipment according to the target networking mode.
11. The method according to any one of claims 8-10, further comprising:
matching the target handshake parameters with preset handshake parameters;
and when the target handshake parameters are successfully matched with the preset handshake parameters, executing the step of acquiring the second account information and the second device identifier.
12. The method according to claim 10, wherein the target handshake parameter is a target handshake strength, and the preset handshake parameter is a preset handshake strength range;
the matching the target handshake parameters with preset handshake parameters includes:
acquiring a handshake current change curve in a first preset time period;
sampling the handshake current change curve to obtain a plurality of current values;
determining an average current value from the plurality of current values;
determining a first handshake strength corresponding to the average current value according to a mapping relation between a preset current value and the handshake strength;
performing mean square error operation according to the current values to obtain a target mean square error;
determining a target handshake strength adjustment coefficient corresponding to the target mean square error according to a mapping relation between a preset mean square error and the handshake strength adjustment coefficient;
adjusting the first handshaking intensity according to the target handshaking intensity adjustment coefficient to obtain the target handshaking intensity;
judging whether the target handshake strength is in the preset handshake strength range;
and when the target handshake strength is within the preset handshake strength range, the target handshake parameters are confirmed to be successfully matched with the preset handshake parameters.
13. The method according to any one of claims 8-12, further comprising: acquiring a target physiological state parameter of the first human body;
determining a target emotion type corresponding to the first human body according to the target physiological state parameter;
and when the target emotion type is a preset emotion type, executing the corresponding operation of the target transaction instruction.
14. The method according to claim 13, wherein when the target physiological state parameter is a heart rate variation curve within a second preset time period, the determining a target emotion corresponding to the first human body according to the target physiological state parameter comprises:
sampling the heart rate change curve to obtain a plurality of heart rate values;
carrying out mean value operation according to the plurality of heart rate values to obtain an average heart rate value;
determining a target heart rate grade corresponding to the average heart rate value;
determining a target first emotion value corresponding to the target heart rate grade according to a mapping relation between a preset heart rate grade and the first emotion value;
performing mean square error operation according to the plurality of heart rate values to obtain a second target mean square error;
determining a target second emotion value corresponding to a second target mean square error according to a mapping relation between a preset mean square error and the second emotion value;
determining a target weight value pair corresponding to the target heart rate level according to a mapping relation between a preset heart rate level and the weight value pair, wherein the weight value pair comprises a first weight value and a second weight value, the first weight value is a weight value corresponding to the first emotion value, and the second weight value is a weight value corresponding to the second emotion value;
carrying out weighted operation according to the target first emotion value, the target second emotion value and the target weight value to obtain a final emotion value;
and determining the target emotion type corresponding to the target emotion value according to a mapping relation between a preset emotion value and an emotion type.
15. A transaction processing apparatus for use with a first human device, the apparatus comprising: a first obtaining unit, a second obtaining unit, a first determining unit and an executing unit, wherein,
the first obtaining unit is configured to obtain a target handshake parameter when the first human body handshakes with a second human body, where the first human body device corresponds to first account information and a first device identifier, the second human body corresponds to a second human body device, and the second human body device corresponds to second account information and a second device identifier;
the second obtaining unit is configured to obtain the second account information and the second device identifier;
the first determining unit is configured to determine a target transaction instruction corresponding to the target handshake parameters, where the target transaction instruction carries the first account information, the first device identifier, the second account information, and the second device identifier;
and the execution unit is used for executing the corresponding operation of the target transaction instruction.
16. A human body apparatus comprising a processor and a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any one of claims 8-14.
17. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of the claims 8-14.
CN201911176925.0A 2019-11-26 2019-11-26 Transaction processing method and related product Pending CN112950212A (en)

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