CN111861589B - Intelligent commodity recommendation system and intelligent recommendation method for self-service vending machine - Google Patents
Intelligent commodity recommendation system and intelligent recommendation method for self-service vending machine Download PDFInfo
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- G06Q30/0241—Advertisements
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Abstract
The invention relates to the field of self-service vending, and discloses an intelligent recommending system and an intelligent recommending method of a self-service vending machine. Comprising the following steps: the system comprises a signal detection module, a commodity display area, an eye tracker, an electrocardio detection device, a central information processing and control module, an auxiliary prompt module and an execution terminal, wherein the signal detection module detects human body signals, the central information processing and control module judges whether potential users exist before the vending machine, if the users decide to purchase commodities but cannot quickly complete commodity purchasing because of difficult selection, the auxiliary prompt module indicates that the users are located in an effective area of the eye tracker for information acquisition, the central information processing and control module obtains cardiac indexes of the commodities by calculating and analyzing eye movement tracks and heart rate information when the users browse the commodities, and outputs recommended commodity information to the execution terminal, and the user is assisted to select cardiac commodities through human-computer interaction, so that shopping experience is improved, shopping fun is increased, and personalized requirements of the users are met.
Description
Technical Field
The invention relates to the field of self-service vending, in particular to an intelligent commodity recommendation system and an intelligent commodity recommendation method for a self-service vending machine.
Background
With the development of self-service vending service modes in China, the functions of the self-service vending machine are continuously perfected, the commodity vending types are increased increasingly, meanwhile, the requirement on the intelligent degree of the self-service vending machine is higher and higher, and the improvement of the man-machine interaction is an important influence factor for improving the intelligent degree. At present, more self-service vending machines with stronger interactivity realize man-machine interaction through an electronic screen or a mobile phone interface on the front side of the vending machine, and users operate according to page prompt flow to complete the purchasing process. The human-computer interaction method, the device, the storage medium and the vending machine of the patent CN201710859759.9 are used for attracting consumers through a marketing mode that users finish system setting tasks to obtain rewards, so that the human-computer interaction degree of the vending machine is improved, but the purchasing speed is low, and the method and the device are suitable for occasions with low requirements on entertainment places and shopping efficiency; the patent CN201920635528.4 discloses a vending machine shipment mechanism and vending machine adopts spring shipment mechanism, simplifies connection structure, improves convenient to use swiftly, but lacks certain man-machine interaction function, and intelligent degree still needs to promote.
The intelligent commodity recommending system and the intelligent commodity recommending method for the self-service vending machine provide intelligent recommendation for consumers and help the consumers to quickly and easily select and purchase the heart instrument commodity, and improve purchase convenience and man-machine interaction.
Disclosure of Invention
The invention aims to provide an intelligent commodity recommending system and an intelligent commodity recommending method for a self-service vending machine, which solve the problem that selection of goods facing to the full-line goal is difficult when a user uses the vending machine to make self-service shopping; the favorite degree of the user on various commodities is calculated and analyzed through eye movement track and heart rate information change when the user browses the commodities, and intelligent recommendation is made, so that the user obtains better shopping experience.
The technical scheme adopted for achieving the purpose of the invention comprises the following steps: the intelligent commodity recommending system for the self-service vending machine is composed of a signal detecting module (1), a commodity displaying area (2), an eye movement instrument (3), an electrocardio detecting device (4), a central information processing and controlling module (5), an auxiliary prompting module (6) and an executing terminal (7), wherein the signal detecting module (1) detects whether a potential user exists in front of a current vending machine and the central information processing and controlling module (5) judges whether the intelligent commodity recommending system continues to operate, the auxiliary prompting module (6) guides the user to be located in the effective area of information acquired by the eye movement instrument (3) and the electrocardio detecting device (4) right in front of the commodity displaying area (2) by adopting a voice and light indicating component, meanwhile, the eye movement instrument (3) determines the pupil position of the user and records eye movement track information when the user browses various commodities, the electrocardio detecting device (4) records heart rate information of the user, the central information processing and controlling module (5) further analyzes and processes the acquired eye movement track and heart rate information, calculates indexes of the various commodities of the user and controls the executing terminal (7) to display recommended commodity information.
The signal detection module (1) collects human body signals before the current vending machine, the central information processing and control module (5) receives information transmitted by the signal detection module (1) and further analyzes and processes the information, and whether a potential user exists or not is detected by judging whether the human body signals exist or not.
The commodity display area (2) is connected with the eye movement instrument (3) and the central information processing and control module (5), the commodity display area (2) displays commodities for users to purchase, and the central information processing and control module (5) divides the interest areas according to the positions of the commodities displayed by the commodity display area (2) and numbers each commodity in sequence.
The eye movement instrument (3) collects eye movement track information when a user views various commodities, and transmits the eye movement track information to the central information processing and control module (5).
The electrocardio detection device (4) comprises a palm touch terminal (41) and an electrocardio information acquisition component (42), wherein one hand of a user is matched with the voice prompt component (61) to perform interactive browsing operation, the other hand of the user is positioned on the palm touch terminal (41), further, the palm touch terminal (41) can automatically identify and convert left and right hand modes, and the electrocardio information acquisition component (42) acquires heart rate values when the user browses commodities according to acquisition frequency of the synchronous oculograph (3).
The central information processing and control module (5) specifically comprises an information acquisition unit (51), an information calculation processing unit (52) and an instruction transmission control unit (53), wherein the information acquisition unit (51) receives human body signals acquired by the signal detection module (1) in an identification potential user link, synchronously acquires information output by the eye movement instrument (3) and the electrocardio detection device (4) at a specified sampling frequency in an intelligent recommendation link, the information calculation processing unit (52) processes and analyzes the human body signals acquired by the signal detection module (1) in the identification potential user link, calculates and analyzes the acquired eye movement track information and heart rate information in the intelligent recommendation link to obtain cardiac indexes of various commodities of a user, and obtains favorite commodity serial numbers of the user through analysis and comparison, and the instruction transmission control unit (53) outputs corresponding control instructions to the execution terminal (7) according to calculation results in the intelligent recommendation link when identifying whether each component part in the potential user link control system operates or not.
The auxiliary prompt module (6) comprises a voice prompt component (61) and a light indication component (62), wherein the voice prompt component (61) guides a user to conduct correct browsing operation steps, and the light indication component (62) is composed of two groups: the first group indicates that the user is located in an effective area where the eye movement instrument (3) collects information, and the second group prompts whether the gesture of the user accords with the effective position of the electrocardiograph detection device (4).
The execution terminal (7) can independently display the recommended commodity information through visual and audio modes such as images and voices, and can also display the recommended commodity information on a commodity display area (2) platform through visual and audio modes such as images and voices.
Based on the intelligent commodity recommending system of the self-service vending machine, the intelligent recommending method comprises the following steps:
step S100: the signal detection module (1) detects whether a potential user exists, and if so, the step S200 is sequentially executed; otherwise, repeating the step S100;
step S200: judging whether the user directly purchases the commodity in the set time, if the user cannot determine the target commodity in the set time, controlling the intelligent recommendation system to continue to operate by the central information processing and control module (5), and sequentially executing the step S300; otherwise, stopping the intelligent recommendation system, and ending the direct jump;
step S300: the user finishes the operation required by information acquisition according to the indication of the auxiliary prompt module (6);
step S400: when a user browses the commodity display area (2), the eye movement instrument (3) collects eye movement track information of the user, and the electrocardiograph detection device (4) collects heart rate of the user;
step S500: the central information processing and control module (5) calculates and processes the acquired information to obtain the cardiac index of the user on each commodity, so as to obtain the favorite commodity serial number of the user;
step S600: the control instruction drives the execution terminal (7) to display the recommended commodity information.
Further, step S100 includes: the signal detection module (1) detects human body signals within a preset range, the signal detection module (1) transmits detection information to the central information processing and control module (5), if the analysis result of the central information processing and control module (5) is 0, the central information processing and control module (5) controls the commodity intelligent recommendation system to repeatedly execute the step, if the analysis result of the central information processing and control module (5) is 1, the central information processing and control module (5) controls the commodity intelligent recommendation system to execute the next step, the detection information is transmitted to the central information processing and control module (5);
further, step S200 includes: the voice prompt component (61) instructs the user to browse the commodity display area (2), if the user does not select the commodity within the system setting time, the step S300 is sequentially executed, and if the user browses the commodity within the system setting time, the system displays specific commodity information according to the user selection;
further, step S300 includes: the voice prompt component (61) and the auxiliary light indication component (62) prompt a user to be positioned in an effective area where the eye movement instrument (3) collects information and put the palm in an effective detection area of the palm touch terminal (41); the first group of light indicating components are used for indicating that a user is positioned in an effective area of the eye movement instrument (3) by projecting guide lights in a set area, and the second group of light indicating components are used for lighting green lights when the palm of the user is positioned correctly and the heart rate information of the user is detected by the electrocardio information acquisition component (42), otherwise, the red lights are lighted;
further, step S400 includes: the commodity display area (2) displays commodities in the vending machine, when a user browses the commodities, the eye movement instrument (3) collects eye movement track data of the user, the electrocardio detection device (4) collects heart rate data of the user at a specified frequency, and the corresponding data are transmitted to the central information processing and control module (5);
further, step S500 includes: an information calculation processing unit (52) of the central information processing and control module (5) calculates the heart index of the user and counts the heart rate value X when the user browses each commodity 1 、X 2 、X 3 、…X n The heart rate weight ratio of commodity serial number 1 is A 1 ＝X 1 /(X 1 +X 2 +X 3 +…X n ) Commodity, commodityThe heart rate weight ratio of serial number 2 is A 2 ＝X 2 /(X 1 +X 2 +X 3 +…X n ) … heart rate weight ratio of commodity number n is A n ＝X n /(X 1 +X 2 +X 3 +…X n ) The method comprises the steps of carrying out a first treatment on the surface of the The central information processing and control module (5) divides and numbers the regions of interest of the commodity according to the commodity display positions, obtains the position points of the pupils of the user staying in each region of interest through the eye movement track information acquired by the eye movement instrument (3), and counts the time length T corresponding to the position points of each region of interest 1 、T 2 、T 3 、…T n The gazing duration weight ratio of commodity number 1 is B 1 ＝T 1 /(T 1 +T 2 +T 3 +…T n ) The gazing duration weight ratio of the serial number 2 is B 2 ＝T 2 /(T 1 +T 2 +T 3 +…T n ) … the gazing duration weight ratio of commodity number n is B n ＝T n /(T 1 +T 2 +T 3 +…T n ) The method comprises the steps of carrying out a first treatment on the surface of the Meanwhile, the central information processing and control module (5) obtains the sequence Y of browsing each commodity by the user according to the acquired eye movement track data 1 、Y 2 、Y 3 、…Y n The gazing sequence weight ratio of commodity number 1 is C 1 ＝(n-Y 1 ) N, the gaze sequence weight ratio of commodity number 2 is C 2 ＝(n-Y 2 ) N … commodity number n with a gaze sequence weight ratio of C n ＝(n-Y n ) N; the cardiac index of each commodity is H 1 、H 2 、H 3 、…H n Cardiac index H of commodity number 1 1 ＝A 1 *X 1 +B 1 *T 1 +C 1 *Y 1 Cardiac index H of commodity number 2 2 ＝A 2 *X 2 +B 2 *T 2 +C 2 *Y 2 Cardiac index H of … commodity number n n ＝A n *X n +B n *T n +C n *Y n 。
The invention has the beneficial effects that: the intelligent commodity recommending system and the intelligent commodity recommending method for the self-service vending machine can identify potential users and make intelligent commodity recommending of the cardiology according to eye movement track and heart rate value parameters when the users browse commodities, so that the intelligent commodity recommending system and the intelligent commodity recommending method for the self-service vending machine not only can help users with difficulty in selecting to make shopping selections and improve purchasing efficiency, but also can increase shopping fun of the users in the interaction process.
Drawings
FIG. 1 is a block diagram of a vending machine intelligent commodity recommendation system;
FIG. 2 is a flow chart of an intelligent commodity recommendation system for a vending machine;
FIG. 3 is a schematic diagram of a central information processing and control module dividing a region of interest;
reference numerals illustrate:
1. a signal detection module; 2. a merchandise display area; 3. an eye movement instrument; 4. an electrocardiograph detection device; 5. a central information processing and control module; 6. an auxiliary prompt module; 7. an execution terminal;
41. a palm touch terminal; 42. an electrocardiographic information acquisition component; 51. an information acquisition unit; 52. an information calculation processing unit; 53. an instruction transmission control unit; 61. a voice prompt component; 62. a light indication assembly.
Detailed Description
The following describes specific embodiments of the present invention in detail with reference to the drawings.
Fig. 1 is a block diagram of a self-service vending machine commodity intelligent recommendation system. As shown in fig. 1, the intelligent commodity recommendation system includes: the system comprises a signal detection module (1), a commodity display area (2), an eye tracker (3), an electrocardiograph detection device (4), a central information processing and control module (5), an auxiliary prompt module (6) and an execution terminal (7); further, the intelligent recommendation process includes: the signal detection module (1) detects whether a potential user exists in front of a current vending machine and judges whether the commodity intelligent recommendation system continues to operate by the central information processing and control module (5), the auxiliary prompt module (6) adopts a voice and light indication assembly to guide the user to be located in an effective area of information acquisition of the eye tracker (3) and the electrocardio detection device (4) right in front of the commodity display area (2), meanwhile, the eye tracker (3) determines the pupil position of the user and records eye movement track information when the user browses all commodities, the electrocardio detection device (4) records heart rate information of the user, the central information processing and control module (5) further analyzes and processes the acquired eye movement track and heart rate information, calculates the heart index of the user on all commodities and controls the vending machine execution terminal (7) to display recommended commodity information.
In this embodiment, the signal detection module (1) includes an infrared sensor and a timer, the infrared sensor senses human infrared rays to determine whether a user exists, the timer accumulates infrared signal time to determine whether the user is a potential user, and the central information processing and control module (5) receives information transmitted by the infrared sensor and the timer and further analyzes and processes the information, and detects whether the potential user exists by determining whether human infrared signals exist or not and whether the time of the infrared signals exists or not.
The commodity display area (2) is connected with the eye movement instrument (3) and the central information processing and control module (5), the commodity display area (2) displays commodities for users to purchase, and the central information processing and control module (5) divides the interest areas according to the positions of the commodities displayed by the commodity display area (2) and numbers each commodity in sequence.
The eye movement instrument (3) collects eye movement track information when a user views various commodities, and transmits the eye movement track information to the central information processing and control module (5).
The electrocardio detection device (4) comprises a palm touch terminal (41) and an electrocardio information acquisition component (42), wherein one hand of a user is matched with the voice prompt component (61) to perform interactive browsing operation with the commodity display area (2), the other hand of the user is positioned on the palm touch terminal (41), further, the palm touch terminal (41) can automatically identify and convert left and right hand modes, and the electrocardio information acquisition component (42) acquires heart rate values of the user when browsing commodities by synchronizing the acquisition frequency of the eye tracker (3).
The central information processing and control module (5) specifically comprises an information acquisition unit (51), an information calculation processing unit (52) and an instruction transmission control unit (53), wherein the information acquisition unit (51) receives human body signals acquired by the signal detection module (1) in an identification potential user link, synchronously acquires information output by the eye movement instrument (3) and the electrocardio detection device (4) at a specified sampling frequency in an intelligent recommendation link, the information calculation processing unit (52) processes and analyzes the human body signals acquired by the signal detection module (1) in the identification potential user link, calculates and analyzes the acquired eye movement track information and heart rate information in the intelligent recommendation link to obtain cardiac indexes of various commodities of a user, and obtains favorite commodity serial numbers of the user through analysis and comparison, and the instruction transmission control unit (53) outputs corresponding control instructions to the execution terminal (7) according to calculation results in the intelligent recommendation link when identifying whether each component part in the potential user link control system operates or not.
The auxiliary prompt module (6) comprises a voice prompt component (61) and a light indication component (62), wherein the voice prompt component (61) guides a user to conduct correct browsing operation steps, and the light indication component (62) is composed of two groups: the first group indicates that the user is located in an effective area where the eye movement instrument (3) collects information, and the second group prompts whether the gesture of the user accords with the effective position of the electrocardiograph detection device (4).
The execution terminal (7) can independently display the recommended commodity information through visual and audio modes such as images and voices, and can also display the recommended commodity information on a commodity display area (2) platform through visual and audio modes such as images and voices.
According to the intelligent commodity recommending system of the self-service vending machine, for users with difficult selection, user information is collected in two directions by using the eye movement instrument (3) and the electrocardiograph detection device (4), and the vending machine execution terminal (7) is driven to display recommended commodity information through the central information processing and control module (5), so that the intelligent degree of the self-service vending machine is improved to a certain extent; meanwhile, the system adopts a signal detection module (1), and the operation of the components in the commodity intelligent recommendation system is controlled to stop according to judging whether potential users exist, so that the operation cost of the vending machine is saved to a certain extent; the auxiliary prompt module (6) adopts the voice prompt component (61) and the light indication component (62) to increase the interestingness of man-machine interaction.
The embodiment provides a self-service commodity intelligent recommendation system and a corresponding intelligent recommendation method. FIG. 2 is a flow chart of an intelligent commodity recommendation system for a vending machine.
As shown in fig. 2, the intelligent recommendation method includes the steps of:
step S100: the signal detection module (1) detects whether a potential user exists, and if so, the step S200 is sequentially executed; otherwise, repeating the step S100;
step S200: judging whether the user directly purchases the commodity in the set time, if the user cannot determine the target commodity in the set time, controlling the intelligent recommendation system to continue to operate by the central information processing and control module (5), and sequentially executing the step S300; otherwise, stopping the intelligent recommendation system, and ending the direct jump;
step S300: the user finishes the operation required by information acquisition according to the indication of the auxiliary prompt module (6);
step S400: when a user browses the commodity display area (2), the eye movement instrument (3) collects eye movement track information of the user, and the electrocardiograph detection device (4) collects heart rate of the user;
step S500: the central information processing and control module (5) calculates and processes the acquired information to obtain the cardiac index of the user on each commodity, so as to obtain the favorite commodity serial number of the user;
step S600: the control instruction drives the execution terminal (7) to display the recommended commodity information.
Further, step S100 includes: the infrared sensor of the signal detection module (1) detects human body signals in a preset range, and when no signal exists or the signal exists, the time duration t of the accumulated signals of the timer is less than or equal to t 1 When the result of the judgment of the central information processing and control module (5) is that no potential user exists currently, the central information processing and control module (5) controls the commodity intelligent recommendation system to repeatedly execute the step; when the infrared sensor receives the signal and the timer accumulates the signal duration t>t 1 When the commodity intelligent recommendation system is in a current state, the central information processing and control module (5) judges that a potential user exists, and the central information processing and control module (5) controls the commodity intelligent recommendation system to execute the next step;
further, step S200 includes: the voice prompt component (61) instructs the user to browse the commodity display area (2), if the user does not select the commodity within the system setting time, the step S300 is sequentially executed, and if the user browses the commodity within the system setting time, the system displays specific commodity information according to the user selection;
further, step S300 includes: the voice prompt component (61) and the auxiliary light indication component (62) prompt a user to be positioned in an effective area where the eye movement instrument (3) collects information and put the palm in an effective detection area of the palm touch terminal (41); the first group of light indicating components are used for indicating that a user is positioned in an effective area of the eye movement instrument (3) by projecting guide lights in a set area, and the second group of light indicating components are used for lighting green lights when the palm of the user is positioned correctly and the heart rate information of the user is detected by the electrocardio information acquisition component (42), otherwise, the red lights are lighted;
further, step S400 includes: the commodity display area (2) displays commodities in the vending machine, when a user browses the commodities, the eye movement instrument (3) collects eye movement track data of the user, the electrocardio detection device (4) collects heart rate data of the user at a specified frequency, and the corresponding data are transmitted to the central information processing and control module (5);
further, step S500 includes: an information calculation processing unit (52) of the central information processing and control module (5) calculates the heart index of the user and counts the heart rate value X when the user browses each commodity 1 、X 2 、X 3 、…X n The heart rate weight ratio of commodity serial number 1 is A 1 ＝X 1 /(X 1 +X 2 +X 3 +…X n ) The heart rate weight ratio of commodity serial number 2 is A 2 ＝X 2 /(X 1 +X 2 +X 3 +…X n ) … heart rate weight ratio of commodity number n is A n ＝X n /(X 1 +X 2 +X 3 +…X n ) The method comprises the steps of carrying out a first treatment on the surface of the The central information processing and control module (5) divides and numbers the regions of interest of the commodity according to the commodity display positions, obtains the position points of the pupils of the user staying in each region of interest through the eye movement track information acquired by the eye movement instrument (3), and counts the time length T corresponding to the position points of each region of interest 1 、T 2 、T 3 、…T n The gazing duration weight ratio of commodity number 1 is B 1 ＝T 1 /(T 1 +T 2 +T 3 +…T n ) The gazing duration weight ratio of the sequence number 2 isB 2 ＝T 2 /(T 1 +T 2 +T 3 +…T n ) … the gazing duration weight ratio of commodity number n is B n ＝T n /(T 1 +T 2 +T 3 +…T n ) The method comprises the steps of carrying out a first treatment on the surface of the Meanwhile, the central information processing and control module (5) obtains the sequence Y of browsing each commodity by the user according to the acquired eye movement track data 1 、Y 2 、Y 3 、…Y n The gazing sequence weight ratio of commodity number 1 is C 1 ＝(n-Y 1 ) N, the gaze sequence weight ratio of commodity number 2 is C 2 ＝(n-Y 2 ) N … commodity number n with a gaze sequence weight ratio of C n ＝(n-Y n ) N; the cardiac index of each commodity is H 1 、H 2 、H 3 、…H n Cardiac index H of commodity number 1 1 ＝A 1 *X 1 +B 1 *T 1 +C 1 *Y 1 Cardiac index H of commodity number 2 2 ＝A 2 *X 2 +B 2 *T 2 +C 2 *Y 2 Cardiac index H of … commodity number n n ＝A n *X n +B n *T n +C n *Y n 。
Further, the central information processing and control module (5) calculates the cardiac index processing flow comprising: an information acquisition unit (51) synchronously receives and stores the acquired X, T, Y information; the information calculation processing unit (52) distributes a weight ratio A, B, C for the parameters X, T, Y collected by the information collection unit (51), and carries out linear fitting on the three parameters to obtain a cardiac index H, and further carries out global comparison and sequencing according to the calculated cardiac indexes H of various commodities to obtain the highest cardiac index H max And transmitted to the instruction transmission control unit (53); an instruction transmission control unit (53) issues H max Corresponding to a commodity information display instruction; the execution terminal (7) receives the control operation instruction of the instruction transmission control unit (53) and executes the corresponding operation.
Fig. 3 is a schematic diagram of a central information processing and control module dividing regions of interest, and as shown in fig. 3, the system sequentially divides corresponding regions of interest according to commodities displayed in a commodity display area (2), in the figure, a region n is a region where each commodity is located, a dashed frame is the divided regions of interest, and the commodities are numbered in one-to-one correspondence with positions, so that the control system and commodity information are unified.
The intelligent recommending method of the self-service vending machine can assist in selection according to the purchasing requirement of the user, and can help the user to select favorite target commodities through physical behavior characteristics when the target commodities cannot be determined by the user facing the goods with full size, so that the intelligent requirement of the user is met, the man-machine interaction function of the vending machine is improved, the operation is convenient, and the interestingness is increased; the eye movement track information and the heart rate information are synchronously processed after detection is finished by adopting an integrated acquisition method, so that the influence of different behaviors on a detection result during detection and judgment is reduced, and the accuracy and objectivity of data are ensured.
Claims (2)
1. An intelligent commodity recommendation system for a vending machine, comprising: the system comprises a signal detection module, a commodity display area, an eye tracker, an electrocardio detection device, a central information processing and control module, an auxiliary prompt module and an execution terminal, wherein the signal detection module detects whether a potential user exists in front of a current vending machine and judges whether an intelligent commodity recommendation system continuously operates by the central information processing and control module;
the signal detection module collects human body signals before the current vending machine, the central information processing and control module receives the information transmitted by the signal detection module and further analyzes and processes the information, and whether a potential user exists or not is detected by judging whether the human body signals exist or not;
the commodity display area is connected with the eye tracker and the central information processing and control module, the commodity display area displays commodities for users to purchase, and the central information processing and control module divides the interest areas according to the positions of the commodities displayed in the commodity display area and numbers each commodity in sequence;
the eye movement instrument acquires eye movement track information when a user watches various commodities, and transmits the eye movement track information to the central information processing and control module;
the electrocardiograph detection device comprises a palm touch terminal and an electrocardiograph information acquisition component, wherein one hand of a user is matched with the voice prompt component to perform interactive browsing operation, the other hand of the user is positioned on the palm touch terminal, further, the palm touch terminal can automatically identify and convert left and right hand modes, and the electrocardiograph information acquisition component is used for acquiring heart rate values when the user browses commodities in synchronization with the acquisition frequency of the electrocardiograph;
the central information processing and controlling module specifically comprises an information acquisition unit, an information calculation processing unit and an instruction transmission control unit, wherein the information acquisition unit receives human body signals acquired by the signal detecting module in a potential user identification link, synchronously acquires information output by the eye movement instrument and the electrocardio detecting device at a designated sampling frequency in an intelligent recommending link, the information calculation processing unit processes and analyzes the human body signals acquired by the signal detecting module in the potential user identification link, calculates and analyzes acquired eye movement track information and heart rate information in the intelligent recommending link to obtain cardiac indexes of various commodities of a user, analyzes and compares the cardiac indexes to obtain favorite commodity serial numbers of the user, and the instruction transmission control unit outputs corresponding control instructions to an executing terminal according to calculation results in the intelligent recommending link;
the auxiliary prompt module comprises a voice prompt component and a light indication component, the voice prompt component guides a user to conduct correct browsing operation steps, and the light indication component comprises two groups: the first group indicates that the user is positioned in an effective area where the eye tracker collects information, and the second group prompts the user whether the gesture accords with the effective position of the electrocardiograph detection device;
the execution terminal independently displays the recommended commodity information through an image or voice audio-visual mode or displays the recommended commodity information on a commodity display area platform through an image or voice audio-visual mode.
2. The intelligent commodity recommending system method for the self-service vending machine is characterized by comprising the following steps of:
step S100: the signal detection module detects whether a potential user exists, and if so, step S200 is sequentially executed; otherwise, repeating the step S100;
step S200: judging whether the user directly purchases the commodity in the set time, if the user cannot determine the target commodity in the set time, controlling the intelligent recommendation system to continue to operate by the central information processing and control module, and sequentially executing the step S300; otherwise, stopping the intelligent recommendation system, and ending the direct jump;
step S300: the user finishes the operation required by information acquisition according to the indication of the auxiliary prompt module;
step S400: when a user browses the commodity display area, the eye movement instrument acquires eye movement track information of the user, and the electrocardiograph detection device acquires heart rate of the user;
step S500: the central information processing and control module calculates and processes the acquired information to obtain the heart indexes of the user on all the commodities, so that the favorite commodity serial numbers of the user are obtained;
step S600: the control instruction drives the execution terminal to display recommended commodity information;
the step S100 includes: the signal detection module detects human body signals within a preset range, the signal detection module transmits detection information to the central information processing and control module, if the analysis result of the central information processing and control module is 0, the central information processing and control module controls the commodity intelligent recommendation system to repeatedly execute the step, if the analysis result of the central information processing and control module is 1, the central information processing and control module controls the commodity intelligent recommendation system to execute the next step;
the step S200 includes: the voice prompt component indicates the user to browse the commodity display area, if the user does not select the commodity within the system setting time, the step S300 is sequentially executed, and if the user browses and selects the commodity within the system setting time, the system displays specific commodity information according to the user selection;
the step S300 includes: the voice prompt component assists the light indication component to prompt a user to be positioned in an effective area where the eye movement instrument collects information and place a palm in an effective detection area of the palm touch terminal; the first group of light indicating components are used for indicating that a user is positioned in an effective area of the eye movement instrument by projecting guide light in a set area, and the second group of light indicating components are used for lighting green lights when the palm of the user is positioned correctly and the heart rate information of the user is detected by the heart rate information acquisition component, and otherwise, lighting red lights;
the step S400 includes: displaying commodities in the vending machine in the commodity display area, collecting user eye movement track data by the eye movement instrument when a user browses the commodities, collecting heart rate data of the user by the electrocardio detection device at a specified frequency, and transmitting the corresponding data to the central information processing and control module;
the step S500 includes: the information calculation processing unit of the central information processing and control module calculates the heart index of the user and counts the heart rate value X when the user browses each commodity 1 、X 2 、X 3 、…X n The heart rate weight ratio of commodity serial number 1 is A 1 ＝X 1 /(X 1 +X 2 +X 3 +…X n ) The heart rate weight ratio of commodity serial number 2 is A 2 ＝X 2 /(X 1 +X 2 +X 3 +…X n ) … heart rate weight ratio of commodity number n is A n ＝X n /(X 1 +X 2 +X 3 +…X n ) The method comprises the steps of carrying out a first treatment on the surface of the The central information processing and control module divides and numbers the regions of interest of the commodity according to the commodity display positions, obtains the position points of the pupils of the user staying in each region of interest through the eye movement track information acquired by the eye movement instrument, and counts the time length T corresponding to the position points of each region of interest 1 、T 2 、T 3 、…T n The gazing duration weight ratio of commodity number 1 is B 1 ＝T 1 /(T 1 +T 2 +T 3 +…T n ) The gazing duration weight ratio of the serial number 2 is B 2 ＝T 2 /(T 1 +T 2 +T 3 +…T n ) … the gaze time weight ratio of commodity number n is B n ＝T n /(T 1 +T 2 +T 3 +…T n ) The method comprises the steps of carrying out a first treatment on the surface of the Meanwhile, the central information processing and control module obtains the sequence Y of browsing each commodity by the user according to the acquired eye movement track data 1 、Y 2 、Y 3 、…Y n The gazing sequence weight ratio of commodity number 1 is C 1 ＝(n-Y 1 ) N, the gaze sequence weight ratio of commodity number 2 is C 2 ＝(n-Y 2 ) N … commodity number n with a gaze sequence weight ratio of C n ＝(n-Y n ) N; the cardiac index of each commodity is H 1 、H 2 、H 3 、…H n Cardiac index H of commodity number 1 1 ＝A 1 *X 1 +B 1 *T 1 +C 1 *Y 1 Cardiac index H of commodity number 2 2 ＝A 2 *X 2 +B 2 *T 2 +C 2 *Y 2 Cardiac index H of … commodity number n n ＝A n *X n +B n *T n +C n *Y n 。
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010048375A1 (en) * | 2008-10-22 | 2010-04-29 | Newzoom, Inc. | Vending store inventory management and reporting system |
| CN108446943A (en) * | 2018-01-30 | 2018-08-24 | 深圳市阿西莫夫科技有限公司 | Sales counter Method of Commodity Recommendation, device, computer equipment and storage medium |
| CN109166007A (en) * | 2018-08-23 | 2019-01-08 | 深圳码隆科技有限公司 | A kind of Method of Commodity Recommendation and its device based on automatic vending machine |
| CN109308762A (en) * | 2017-07-28 | 2019-02-05 | 橙果信息技术有限公司 | A kind of automatically vending system and method based on Identification of Images |
| CN111316301A (en) * | 2017-08-07 | 2020-06-19 | 慧通电子私人有限公司 | Automatic vending machine |
-
2020
- 2020-08-06 CN CN202010784713.7A patent/CN111861589B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010048375A1 (en) * | 2008-10-22 | 2010-04-29 | Newzoom, Inc. | Vending store inventory management and reporting system |
| CN109308762A (en) * | 2017-07-28 | 2019-02-05 | 橙果信息技术有限公司 | A kind of automatically vending system and method based on Identification of Images |
| CN111316301A (en) * | 2017-08-07 | 2020-06-19 | 慧通电子私人有限公司 | Automatic vending machine |
| CN108446943A (en) * | 2018-01-30 | 2018-08-24 | 深圳市阿西莫夫科技有限公司 | Sales counter Method of Commodity Recommendation, device, computer equipment and storage medium |
| CN109166007A (en) * | 2018-08-23 | 2019-01-08 | 深圳码隆科技有限公司 | A kind of Method of Commodity Recommendation and its device based on automatic vending machine |
Non-Patent Citations (1)
| Title |
|---|
| 新零售场景中用户体验式自助结算平台设计研究;白斐然;胡鸿;;设计(第09期);38-41 * |
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