WO2017076100A1 - 食物口感模拟方法及系统 - Google Patents

食物口感模拟方法及系统 Download PDF

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Publication number
WO2017076100A1
WO2017076100A1 PCT/CN2016/095556 CN2016095556W WO2017076100A1 WO 2017076100 A1 WO2017076100 A1 WO 2017076100A1 CN 2016095556 W CN2016095556 W CN 2016095556W WO 2017076100 A1 WO2017076100 A1 WO 2017076100A1
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Prior art keywords
food
signal
target
airflow
identification
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PCT/CN2016/095556
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English (en)
French (fr)
Inventor
杨久霞
白峰
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京东方科技集团股份有限公司
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Priority to US15/509,567 priority Critical patent/US10231661B2/en
Publication of WO2017076100A1 publication Critical patent/WO2017076100A1/zh

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/40—Detecting, measuring or recording for evaluating the nervous system
    • A61B5/4005—Detecting, measuring or recording for evaluating the nervous system for evaluating the sensory system
    • A61B5/4017—Evaluating sense of taste
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/3605—Implantable neurostimulators for stimulating central or peripheral nerve system
    • A61N1/3606—Implantable neurostimulators for stimulating central or peripheral nerve system adapted for a particular treatment
    • A61N1/36082—Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease
    • A61N1/36085—Eating disorders or obesity
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006—ECG or EEG signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/377—Electroencephalography [EEG] using evoked responses
    • A61B5/381—Olfactory or gustatory stimuli
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
    • A61B5/4261—Evaluating exocrine secretion production
    • A61B5/4277—Evaluating exocrine secretion production saliva secretion
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/02—Details
    • A61N1/04—Electrodes
    • A61N1/05—Electrodes for implantation or insertion into the body, e.g. heart electrode
    • A61N1/0526—Head electrodes
    • A61N1/0548—Oral electrodes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2503/00—Evaluating a particular growth phase or type of persons or animals
    • A61B2503/12—Healthy persons not otherwise provided for, e.g. subjects of a marketing survey

Definitions

  • Embodiments of the present disclosure relate to a food mouthfeel simulation method and a food mouthfeel simulation system.
  • the researchers developed a taste simulation device that can control the magnitude and temperature of the current and transfer current and temperature to the tongue.
  • the taste simulation device can make the user feel the taste of acid, sweetness, bitterness, saltiness, etc. by stimulating the current and temperature of the user's tongue.
  • the taste simulation device of the related art requires current and temperature stimulation of the user's tongue, has a safety hazard, and has a single taste simulation effect.
  • the present disclosure provides a food mouthfeel simulation method and system.
  • a food mouthfeel simulation method for a food mouthfeel simulation system comprising: determining a target food based on the food simulation trigger signal when receiving a food simulation trigger signal Food information; determining, according to the food information, a gas flow for simulating the mouthfeel of the target food; and according to the airflow, releasing the airflow through the airflow chip disposed in the oral cavity.
  • a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food are determined; and according to the flow rate and the flow rate of the airflow, the airflow is released by the airflow chip disposed in the oral cavity.
  • a target odor molecule for simulating an odor of the target food is determined; the target odor molecule is released.
  • determining food information of the target food according to the food simulation trigger signal comprising: collecting a brain wave signal of the human body; and the brain wave signal and Comparing the food-like signals pre-stored in the database; determining that the brain wave signal is the food simulation trigger signal when the brain wave signal is identical to any food-type signal pre-stored in the database; according to the preset food-like signal Corresponding relationship with the food information, determining food information of the target food corresponding to the food simulation trigger signal.
  • the releasing the target odor molecule includes releasing the target odor molecule by an odor releaser and/or an olfactory release chip disposed in the oral cavity.
  • the food information includes an identification of the foodstuff, and determining, according to the food information, an airflow for simulating the mouthfeel of the target food, comprising: counting the number of the identification of the foodstuff in the food information of the target food; When the number of the identifications of the foodstuffs is equal to 1, the airflow for simulating the mouthfeel of the target food is determined according to the identification of the foodstuff.
  • the food information further includes a cooking method of the food, the determining, according to the food information, the airflow for simulating the mouthfeel of the target food, including: when the number of the identification of the foodstuff is greater than 1, according to The identification of the foodstuff and the method of cooking the food, the airflow for simulating the mouthfeel of the target food is determined by a preset pattern recognition algorithm.
  • the food information includes an identification of the foodstuff and an identification of the taste, and determining, according to the food information, a target scent molecule for simulating the scent of the target food, comprising: counting food materials in the food information of the target food The number of the identifiers; when the number of the identifiers of the food materials is equal to 1, the target odor molecules are determined according to the identification of the taste.
  • the food information further includes a cooking method of the food, the determining the target odor molecule for simulating the scent of the target food according to the food information, including: when the number of the identification of the food material is greater than one
  • the target odor molecule is determined by a preset pattern recognition algorithm according to the identification of the foodstuff, the identification of the taste, and the cooking method of the food.
  • the pre-stored food-like signal in the database is an electrical signal
  • comparing the brainwave signal with a pre-stored food-like signal in the database comprises: pre-storing the waveform of the brainwave signal with the database The waveform of the electrical signal of the food class is compared.
  • the food-like signal pre-stored in the database is a logic signal
  • comparing the brain wave signal with a pre-stored food-like signal in a database includes: converting the brain wave signal into a logic signal; The converted logic signal is compared to the logic signal of the pre-stored food class in the database.
  • a food mouthfeel simulation system the system includes: a signal processing device and an airflow chip disposed in the oral cavity, the signal processing device configured to determine food information of the target food according to the food simulation trigger signal when receiving the food simulation trigger signal; Food information, determining a flow of air for simulating the mouthfeel of the target food, and transmitting a signal indicative of the airflow to the airflow chip; the airflow chip configured to receive a signal indicative of the airflow, and according to the The signal of the airflow releases the airflow.
  • the signal processing device determines a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food based on the food information, and transmits a signal indicating the flow rate and the flow rate of the airflow to the airflow chip;
  • the airflow chip is configured to receive a signal indicative of the flow rate and flow rate of the airflow and to release the airflow based on the flow rate and flow rate of the airflow.
  • an odor releasing device further comprising: an odor releasing device, the signal processing device further configured to determine a target scent molecule for simulating an odor of the target food based on the food information, and transmitting the indication to the airflow chip a signal of a target odor molecule; the odor release device configured to receive a signal indicative of the target odor molecule and release the target odor molecule.
  • the method further includes: a brain wave collecting device configured to collect a brain wave signal of the human body and send the signal to the signal processing device, the signal processing device further configured to: the brain wave The signal is compared with a pre-stored food-like signal in the database; when the brainwave signal is identical to any of the food-like signals pre-stored in the database, the brainwave signal is determined to be the food simulation trigger signal; The correspondence between the class signal and the food information determines the food information of the target food corresponding to the food simulation trigger signal.
  • the scent release device includes: an odor releaser or an olfactory release chip disposed in the oral cavity, the scent release device further configured to: release the odor release device and/or the olfactory release chip Target odor molecule.
  • the food information includes an identification of the foodstuff
  • the signal processing device is further configured to: count the number of the identification of the foodstuff in the food information of the target food; when the number of the identification of the foodstuff is equal to And determining, according to the identification of the foodstuff, the airflow for simulating the mouthfeel of the target food.
  • the food information further includes a food cooking method
  • the signal processing device is further configured to: when the number of the identification of the food material is greater than 1, according to the identification of the food material and the food cooking method, A preset pattern recognition algorithm determines the airflow configured to simulate the mouthfeel of the target food.
  • the food information includes an identification of the foodstuff and an identification of the taste
  • the signal processing device is further configured to: count the number of the identification of the foodstuff in the food information of the target food; and when the identification of the foodstuff When the number is equal to 1, the target odor molecule is determined based on the identification of the taste.
  • the food information further includes a cooking method of the food, the signal processing device, further configured to: when the number of the identification of the food material is greater than 1, according to the identification of the food material, the identification of the taste, and the food
  • the cooking method determines the target odor molecule by a preset pattern recognition algorithm.
  • the food-like signal pre-stored in the database is an electrical signal
  • the signal processing device is further configured to: compare a waveform of the brain wave signal with a waveform of an electrical signal pre-stored in the database.
  • the pre-stored food-like signal in the database is a logic signal
  • the signal processing device is further configured to: convert the brain wave signal into a logic signal; and convert the converted logic signal into the database
  • the logical signals of pre-stored foods are compared.
  • the airflow chip includes: a signal receiving layer, a gas generating layer, and a gas releasing layer, the signal receiving layer configured to receive a signal transmitted by the signal processing device; the gas generating layer configured to be pre-configured for Generating a base element of the gas and/or a catalyst for accelerating gas generation; the gas release layer releasing the substance generated by the gas flow generating layer in accordance with an indication of the received signal of the signal receiving layer.
  • the scent release device includes a container for storing odor molecules, and when the scent release device receives a signal sent by the signal processing device for indicating a target scent molecule, the target stored in the container The odor molecules are treated to release the target odor molecules to the air.
  • the scent release device further includes a fan for generating a gas flow to release the target odor molecule upon release of the target odor molecule.
  • 1-1 is a food taste model involved in a method for simulating food taste provided by an embodiment of the present disclosure. Schematic diagram of the proposed system
  • 1-2 is a flowchart of a food mouth feeling simulation method provided by an embodiment of the present disclosure
  • 2-2 is a flowchart of a method for determining food information of a target food according to an embodiment of the present disclosure
  • 2-3 is a flowchart of a preset pattern recognition algorithm according to an embodiment of the present disclosure
  • 3-1 is a schematic structural diagram of a food mouth feeling simulation system provided by an embodiment of the present disclosure
  • 3-2 is a schematic structural diagram of an airflow chip according to an embodiment of the present disclosure.
  • 3-3 is a schematic structural diagram of another food mouth feeling simulation system provided by an embodiment of the present disclosure.
  • 3-4 is a schematic diagram of an olfactory release device in accordance with an embodiment of the present disclosure.
  • FIG. 1-1 is a schematic diagram of a food mouth feeling simulation system involved in a food mouth feeling simulation method according to an embodiment of the present disclosure.
  • the system may include: a brain wave wave collecting device 10 and a signal processing device 11 The air flow chip 12 and the scent release device 13.
  • the signal processing device 11 is connected to the brain wave collecting device 10, the airflow chip 12, and the scent releasing device 13, respectively, via a wired or wireless network.
  • the brain wave collecting device 10 may be a cap structure, for example, a helmet. It can also be a headphone-like structure or an electronic skin attached to the human brain.
  • Brain waves are electric currents that are generated outside the cells of the cerebral cortex when the brain is active and a potential difference is formed between the cortical cell populations. Brain waves record changes in the electrical activity of the brain, so when the user has the idea of eating something, the brainwave signal will change accordingly.
  • the brain wave collecting device 10 can collect the brain wave signal of the human body in real time, and transmit the brain wave signal to the signal processing device 11, and the signal processing device 11 is configured to use the brain wave signal to The food-like signals stored in the database are compared, and the target food corresponding to the brain wave signal is determined, thereby determining the flow rate and flow rate of the airflow for simulating the taste of the target food, and the target scent molecules for simulating the target food odor .
  • the signal processing device 11 can be implemented, for example, by software or hardware or firmware. For example, it can be implemented by using a general-purpose processor chip (for example, a central processing unit CPU), or can be implemented by using a dedicated processor chip, for example, a programmable logic circuit. Programmable gate arrays, etc.
  • the signal processing device 11 sends a signal to the airflow chip, and finally the airflow chip 12 releases the airflow based on the indication of the signal.
  • the target scent molecules are released by the scent release device 13 to achieve the effect of simulating the taste and odor of the food desired in the user's brain.
  • the airflow chip 12 can be, for example, a microprocessor chip or a chipset.
  • the scent release device 13 may, for example, include a container for storing odor molecules, and after receiving the signal sent by the signal processing device for indicating the target odor molecule, processing the target scent molecules stored in the container to make the target scent molecule Released to the air. Also for example, the scent release device may further include a fan for generating a gas flow to release the target odor molecules upon release of the target odor molecules.
  • FIG. 1-2 is a flowchart of a method for simulating food taste provided by an embodiment of the present disclosure. The method can be applied to the system shown in FIG. 1-1. Referring to FIG. 1-2, the method includes:
  • Step 101 When receiving the food simulation trigger signal, determine food information of the target food according to the food simulation trigger signal.
  • Step 102 Determine, according to the food information, a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food.
  • Step 103 According to the flow rate and flow rate of the airflow, the airflow is released by the airflow chip disposed in the oral cavity.
  • the food taste simulation method provided by the embodiment of the present disclosure can determine the food information of the target food according to the food simulation trigger signal when receiving the food simulation trigger signal, and according to the food Information to further determine the airflow used to simulate the mouthfeel of the target food. For example, the flow rate and the flow rate of the airflow are determined. Finally, the airflow chip disposed in the oral cavity can release the airflow according to the flow rate and the flow rate of the airflow.
  • the food taste simulation method provided by the embodiment of the present disclosure uses the gas to simulate the taste of various foods, without using Current and temperature stimuli enhance the safety of food simulation and enrich the effects of food simulation.
  • determining the flow rate or flow rate of the airflow is only an example, and it is also possible to confirm other properties of the airflow, for example, flow direction, coverage in the oral cavity, vortex Ways and so on, so that the taste of the food can be simulated more realistically.
  • the method further includes:
  • a target odor molecule for simulating the odor of the target food is determined, and the target odor molecule is released.
  • determining the food information of the target food according to the food simulation trigger signal including collecting the brain wave signal of the human body, and comparing the brain wave signal with the pre-stored food type signal in the database, when The brain wave signal and any food letter pre-stored in the database
  • the brain wave signal is determined as the food simulation trigger signal
  • the food information of the target food corresponding to the food simulation trigger signal is determined according to the preset correspondence between the food type signal and the food information.
  • the release of the target odor molecule includes release of the target odor molecule by an odor releaser or an olfactory release chip disposed within the oral cavity.
  • the food information includes an identification of the foodstuff and a cooking method of the food, and based on the food information, determining a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food, including:
  • the flow rate and flow rate of the airflow for simulating the mouthfeel of the target food are determined based on the identification of the foodstuff.
  • the flow rate and flow rate of the airflow for simulating the mouthfeel of the target food are determined by a preset pattern recognition algorithm according to the identification of the foodstuff and the cooking method of the food.
  • the food information includes an identification of the foodstuff, an identification of the taste, and a cooking method of the food, and according to the food information, determining a target scent molecule for simulating the scent of the target food includes counting the identification of the foodstuff in the food information of the target food When the number of the identification of the food material is equal to 1, the target odor molecule is determined according to the identification of the taste, and when the number of the identification of the food material is greater than 1, the identification of the food material, the identification of the taste, and The food cooking method determines the target odor molecule by a preset pattern recognition algorithm.
  • the pre-stored food-like signal in the database is an electrical signal
  • comparing the brainwave signal with a pre-stored food-like signal in the database includes the waveform of the brainwave signal and the pre-stored food-like electrical signal in the database. Waveforms are compared.
  • the pre-stored food-like signal in the database is a logic signal
  • comparing the brain wave signal with a pre-stored food-like signal in the database includes converting the brain wave signal into a logic signal, and pre-storing the logic signal with the database The logical signals of the food class are compared.
  • the food taste simulation method provided by the embodiment of the present disclosure can determine the food information of the target food according to the food simulation trigger signal when receiving the food simulation trigger signal, and according to the food The information further determines a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food, and finally, according to the flow rate and the flow rate of the airflow, the airflow is released through the airflow chip disposed in the oral cavity, the airflow is a gas harmless to the human body Produced, thus embodiments of the present disclosure
  • the food taste simulation method and system are provided with high safety, and the odor of the food can be simulated by the scent release device, which enriches the effect of the food simulation.
  • FIG. 2-1 is a flowchart of another method for simulating food taste provided by an embodiment of the present disclosure. The method can be applied to the system shown in FIG. 1-1. Referring to FIG. 2-1, the method includes:
  • Step 201 The signal processing device determines the food information of the target food according to the food simulation trigger signal when receiving the food simulation trigger signal.
  • the signal processing device may store a correspondence between the food simulation signal and the food information, and the food information may include an identifier of the food material, a taste identifier, a food cooking method, and the like, when the signal processing device receives After the food simulation trigger signal, the food information of the target food corresponding to the food simulation trigger signal may be determined from the stored correspondence.
  • the food simulation trigger signal may be a brain wave signal, or may be a name of a target food directly input by the user in the terminal, and the terminal inputs the information input by the user, and then sends the data signal to the signal processing device.
  • the method of information can include:
  • Step 2011 the brain wave collecting device collects the brain wave signal of the human body.
  • the food mouth feeling simulation system can collect the brain wave signal of the human body in real time through the brain wave collecting device 10 shown in FIG. 1-1.
  • the brain wave collecting device may include a plurality of sensors for detecting and collecting brain waves, and the plurality of sensors may be wet electrodes or dry electrodes, which are not limited in the embodiment of the present disclosure.
  • the specific process of collecting the human brain wave signal by the brain wave collecting device reference may be made to the related art, which is not described in detail in the embodiments of the present disclosure.
  • step 2012 the brain wave collecting device transmits the brain wave signal to the signal processing device.
  • the brain wave signal is generally weak, after the brain wave collecting device collects the brain wave signal, the brain wave signal can be filtered and differentially amplified, and then the processed brain wave signal is wirelessly connected, such as Bluetooth or Wireless fidelity (English: WIreless-FIdelity; WI-FI for short), or wired connection to the signal processing device.
  • wirelessly connected such as Bluetooth or Wireless fidelity (English: WIreless-FIdelity; WI-FI for short), or wired connection to the signal processing device.
  • Step 2013 The signal processing device compares the brain wave signal with a food-like signal pre-stored in the database.
  • a plurality of preset food-like signals may be stored in the database of the signal processing device, and the food-like signals may be electrical signals or logic signals.
  • the signal processing device can directly compare the waveform of the received brain wave signal with the waveform of the pre-stored food-like electrical signal in the database; when pre-stored in the database
  • the signal processing device may first perform analog-to-digital conversion on the received brain wave signal, convert the brain wave signal into a logic signal, and then convert the converted logic signal with the pre-stored food in the database. The logic signals of the class are compared.
  • the food-like signal pre-stored in the database of the signal processing device is a logic signal
  • the signal processing device performs analog-to-digital conversion on the received brain wave signal to obtain a logic signal corresponding to the brain wave signal of 00110100.
  • the signal processing device can compare the logic signal 00110100 with the logic signals of all food classes stored in the database.
  • Step 2014 When the brain wave signal is the same as any food type signal pre-stored in the database, determine the brain wave signal as the food simulation trigger signal.
  • the signal processing device can determine that the brain wave signal is a food simulation trigger signal, that is, the brain wave signal is a food-related signal. For example, if the logic signal 00110100 of the food type is stored in the database of the signal processing device, the signal processing device can determine the brain wave signal as the food simulation trigger signal.
  • Step 2015 Determine, according to the correspondence between the preset signal and the food information, the food information of the target food corresponding to the food simulation trigger signal.
  • the correspondence between the signal and the food information may also be stored in the database of the signal processing device.
  • Some foods are composed of a single food, such as apples and lemons, due to different ingredients constituting different foods, and some are Food is formed by a variety of ingredients through specific cooking methods, such as tomato scrambled eggs, in which the taste and smell of a single food can be directly determined, and the taste and smell of foods including multiple ingredients need to be considered comprehensively. Factors such as the amount of ingredients used and how to cook. Therefore, the food information stored in the database may include the identification of the foodstuff, the identification of the taste, and the cooking method of the food, wherein the cooking method of the food may include frying, frying, steaming, boiling, roasting, and the like.
  • the food information of the target food corresponding to the food simulation trigger signal may be further determined according to the correspondence between the signal and the food information.
  • the correspondence between the signal stored in the database and the food information may be as shown in Table 1, wherein the food corresponding to the logic signal 00110100 is an apple, and the corresponding food information includes the identifier of the food material: 01 and the taste of the mark 011; the logic signal corresponding to the 00110110 is tomato scrambled eggs, the corresponding food information includes the identification of the ingredients: 03 and 04, the taste of the mark 031, 041 and the food cooking method: fried, which 03 and 031 can be the identification of the food and the identification of the taste corresponding to the tomato, and 04 and 041 can respectively be the identification of the food and the identification of the taste corresponding to the egg.
  • Step 202 The signal processing device determines, according to the food information, a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food.
  • the signal processing device may store a correspondence between the identifier of the food material and the airflow information for simulating the mouthfeel of the food material, wherein the airflow information includes a flow rate and a flow rate of the airflow. Therefore, after the signal processing device determines the food information of the target food, the number of the identification of the food material in the food information of the target food may be first counted, and when the number of the identification of the food material is equal to 1, the signal processing device may be based on the food material. The identification determines the flow rate and flow rate of the airflow for simulating the mouthfeel of the target food from the correspondence between the identification of the pre-stored foodstuff and the airflow information for simulating the mouthfeel of the foodstuff.
  • the correspondence between the identifier of the pre-stored foodstuff in the database and the airflow information for simulating the mouthfeel of the foodstuff is as shown in Table 2, wherein the flow rate of the airflow corresponding to the foodstuff logo 01 (ie, the logo of the apple) is 10 The flow rate is 10 ml per minute, and the flow rate of the food mark 02 (namely the lemon) corresponds to a flow rate of 7 ml per minute and a flow rate of 10 ml.
  • the food information of the target food is: the identification of the food: 01, the identification of the taste 011, because the number of the identification of the food in the food information is 1, that is, the target food is
  • the signal processing device can directly determine the flow rate of the airflow for simulating the taste of the target food: apple from the correspondence shown in Table 2 according to the identification 01 of the food in the food information: 10 ml per minute, flow rate: 10 ml.
  • the signal processing device may determine, according to the food information of the target food, the identification of the food material and the cooking method of the food, a preset pattern recognition algorithm for determining the taste of the target food.
  • Flow rate and flow rate of the airflow. 2-3 is a flowchart of a preset pattern recognition algorithm according to an embodiment of the present disclosure.
  • the pattern recognition algorithm may be a perceptron algorithm (English: Perceptron Approach), and the perceptron algorithm is based on Rosenblatt. (English: Rosenblatt) proposed by the perceptron (English: Perceptron) criterion function. As shown in FIG.
  • the signal processing device can continuously change the amount of each of the ingredients, that is, continuously change the weight vector of each sample in the training sample X, and then perform different rounds of iterative calculation on the training sample X by different weight vectors, for example, the kth round.
  • the weight vector of the iteration can be expressed as W(k).
  • the weight vector of the iteration is determined as the target usage of each ingredient.
  • the signal processing device may also be pre-set with an iteration number threshold L.
  • the signal processing device may determine the weight vector W(L) determined after the L-th round iteration as the target usage amount of each food material. .
  • the specific steps of determining the weight vector using the perceptron algorithm may be referred to the related art, and the embodiments of the present disclosure are not described herein.
  • the signal processing device determines the target dosage for each of the ingredients
  • the proportion of the target amount of each of the ingredients in the total amount of all the ingredients can be calculated, and the flow rate of the air flow is determined according to the ratio of each of the ingredients according to the following formula (1).
  • And traffic :
  • v t, c t respectively for the airflow taste of food simulation target velocity and flow
  • N is the number of identified ingredients, i.e., the number of types of ingredients
  • a i is the i-th target amount of ingredients
  • the ratio of v i and c i in the total amount of all the ingredients is the flow rate and flow rate of the gas corresponding to the i-th material stored in the signal processing device.
  • the food information of the target food determined by the signal processing device is: the identification of the food: 03, 04, the identification of the taste 031, 041, the cooking method of the food: fried, because of the target food: the food information of the tomato scrambled egg
  • the number of the identification of the food material is 2, which is greater than 1, that is, the target food is not a food composed of a single food material, so the signal processing device can identify the food material according to the pattern recognition algorithm shown in FIG.
  • 03 , 04 is used as the training sample X, and the food cooking method: frying is input as a known condition, assuming that the judgment result after two rounds of iteration is correct, and the target dosage of each food material at this time is: the target of the food ingredient 03 The dosage is 75 (in grams), and the target dosage of the marker 04 of the food is 25, then the signal processing device can calculate the proportion of the target dosage of each food in the total amount of all ingredients: the proportion of the food ingredient 03 For 0.75, the proportion of the logo 04 of the ingredients is 0.25.
  • the signal processing apparatus can determine the flow rate and flow rate of the airflow for simulating the mouthfeel of the target food: tomato scrambled eggs by the above formula (1) according to the correspondence relationship between the identification of the foodstuff and the airflow information shown in Table 2:
  • the flow rate of the airflow determined by the signal processing device according to the preset pattern recognition algorithm for simulating the target food is: 5 ml per minute, and the air flow rate is: 9 ml.
  • the signal processing device may also generate an alternative flow rate and flow rate after each iteration of the pattern recognition algorithm, and release the airflow generated according to the alternative flow rate and flow rate to the user's mouth, so that The user evaluates the alternative flow rate and flow rate.
  • the signal processing device receives the determination information triggered by the user according to the preset operation, the weight vector determined in the iteration of the round can be determined as the target usage amount of each food material, and The target amount is stored in the database so that when the signal processing device receives the food information of the same target food again, the airflow and the flow rate for simulating the mouthfeel of the target food can be directly determined according to the target usage amount of the each food material.
  • the preset operation may be
  • the voice operation may also be a key operation or a brain wave, etc., and the embodiment of the present disclosure is not limited.
  • the algorithm for simulating the flow rate and flow rate of the airflow of the mouthfeel of the target food may also be determined according to the specific food and food cooking methods, and the embodiments of the present disclosure are merely illustrative.
  • Step 203 The signal processing device sends a signal indicating the flow rate and flow rate of the airflow to the airflow chip.
  • the food mouthfeel simulation system may further include an airflow chip disposed in the user's mouth, and may be used to indicate the airflow after the signal processing device determines the flow rate and flow rate of the airflow for simulating the mouthfeel of the target food.
  • the flow rate and flow signals are sent to the air flow chip.
  • the signal sent by the signal processing device to the air flow chip may be: flow rate: 10 ml per minute, flow rate: 10 ml.
  • Step 204 The airflow chip disposed in the oral cavity releases the airflow according to the flow rate and flow rate of the airflow.
  • the airflow chip can generate and release a preset gas according to the flow rate and flow rate of the airflow, and the preset gas can be a gas harmless to the human body, such as oxygen, or a small amount of an inert gas such as carbon dioxide or helium. .
  • the airflow chip may include a plurality of functional layers, such as a signal receiving functional layer, a gas generating functional layer, and a gas releasing functional layer. Each functional layer can correspondingly implement different functions, wherein the signal receiving functional layer is configured to receive a signal sent by the signal processing device, and a plurality of basic elements for generating a gas, such as carbon, hydrogen, and oxygen, are preset in the gas generating functional layer. A catalyst for accelerating gas generation may also be provided. After the airflow chip receives the signal, a predetermined gas, such as oxygen, may be generated by the gas generating functional layer, and then the predetermined gas may be released through the gas release functional layer according to the flow rate and flow rate indicated by the signal.
  • a predetermined gas such as oxygen
  • the gas flows in the human oral cavity to form a gas flow, so that the human body feels the feeling of fullness of the food in the oral cavity, thereby realizing the effect of simulating the taste of the food.
  • the flow rate of the airflow indicated by the signal sent by the signal processing device is: 10 ml per minute and the flow rate is 10 ml
  • the airflow chip disposed in the oral cavity can generate a preset gas according to the signal.
  • the gas is released into the human mouth at a rate of 10 ml per minute, and the flow rate of the released gas can be 10 ml, so that the user feels the taste of the chewed apple.
  • Step 205 The signal processing device determines, according to the food information, a target odor molecule for simulating an odor of the target food.
  • the signal processing device may also store a correspondence between the taste identification and the odor molecules for simulating the odor of the food material. Similar to the processing flow in the above step 202, after the signal processing device determines the food information of the target food, the number of the identification of the food material in the food information of the target food may be counted first, when the number of the identification of the food material is equal to 1, The signal processing device can be based on the taste in the food information Identifying, from the correspondence between the identifier of the pre-stored taste and the odor molecule for simulating the odor of the foodstuff, determining a target scent molecule for simulating the target food odor.
  • the correspondence between the identifier of the taste stored in the database and the gas used to simulate the smell of the food material may be as shown in Table 3, wherein the identifier of the taste is 011 (ie, the identifier of the taste corresponding to the apple).
  • the odor molecules include butyl butyrate, butyl butyrate and hexanol, and the odor molecules corresponding to the taste of 021 (namely the taste corresponding to the lemon) include limonene and citral.
  • the target food determined by the signal processing device is: the food information of the apple is: the identification of the food: 01, the identification of the taste 011, because the number of the identification of the food in the food information is 1, that is, the target
  • the food is a food of a single food, so the signal processing device can directly determine the target odor molecule for simulating the target food: the smell of the apple from the correspondence shown in Table 3 according to the identification 011 of the taste in the food information. They are: butyl butyrate, butyl butyrate and hexanol.
  • the signal processing device may determine, according to the food identification information of the target food, the identification of the food material and the food cooking method, by using a pattern recognition algorithm as shown in FIG. 2-3 for simulating the The target odor molecule of the scent of the target food.
  • the signal processing device can use the identification of the food material as the training sample X, use the amount of each food material as the weight vector W, and input the food cooking method as an environmental variable of the algorithm, after which the signal processing device can The amount of each ingredient is continuously changed, and different weight vectors are used to perform multiple rounds of iterative calculation on the training sample X.
  • the weight vector of the iteration is determined as the target amount of each ingredient.
  • the signal processing device determines the target dosage of each of the ingredients in the target food
  • the proportion of the target dosage of each of the ingredients in the total amount of all the ingredients can be calculated, and then
  • the food information of the target food determined by the signal processing device is: the identification of the food: 03, 04, the identification of the taste 031, 041, the cooking method of the food: fried, because of the target food: the food information of the tomato scrambled egg
  • the number of the identification of the food material is 2, which is greater than 1, that is, the target food is not a food composed of a single food material, so the signal processing device can identify the food material according to the pattern recognition algorithm shown in FIG.
  • 03 , 04 is used as the training sample X, and the food cooking method: frying is input as a known condition, assuming that the judgment result after two rounds of iteration is correct, and the target dosage of each food material at this time is: the target of the food ingredient 03 The dosage is 75, the target dosage of the marker 04 of the food material is 25, the proportion of the logo 03 of the food material is calculated to be 0.75, and the proportion of the logo 04 of the food material is 0.25, so the signal processing device can be according to the taste shown in Table 3.
  • Identifying the correspondence relationship with the odor molecules, and determining the odor molecules used to form the target odor molecules include: lycopene, ethylbenzene and butylbenzene, wherein lycopene is at the target odor Sub-share ratio was 0.75, the proportion of ethylbenzene and butylbenzene target share of the odor molecules is 0.25. That is, the target odor molecule determined by the signal processing device according to the preset pattern recognition algorithm for simulating the target food: the smell of the tomato scrambled egg is composed of 75% lycopene and 25% ethylbenzene and butylbenzene. .
  • Step 206 The signal processing device sends a signal indicating the target scent molecule to the scent release device.
  • a signal indicative of the target odor molecule can be sent to the scent release device to facilitate release of the target odorant molecule by the odor release device.
  • the signal sent by the signal processing device to the scent release device may be a corresponding identifier of the target odor molecule: butyl butyrate, butyl butyrate, and hexanol.
  • Step 207 the scent release device releases the target odor molecule.
  • the scent release device may be an odor release device or an olfactory release chip disposed in the oral cavity, and the odor release device may be pre-stored with a plurality of odor molecules for simulating different odors.
  • the odor releasing device receives the signal indicating the target scent molecule sent by the signal processing device, the target odor molecule indicated in the signal may be processed by current stimulation or heating, so that the target odor molecule is released into the air, and then Achieve the effect of simulating the odor of the target food.
  • the scent release device is an olfactory release chip disposed in the oral cavity
  • the signal sent by the signal processing device received by the scent release chip includes target odor molecules: butyl butyrate, butyl butyrate, and hexanol, respectively.
  • the scent release chip can determine the target scent according to the identifier The molecules are butyl butyrate, butyl butyrate and hexanol, and the three target odor molecules are stimulated by the current generated in the chip, so that the three target odor molecules are released into the user's mouth so that the user can smell similar The smell of apples.
  • the scent release chip and the airflow chip can be integrated in the same chip, and the target scent molecules released by the scent release chip can be released to the faster release by the gas released by the airflow chip.
  • the user feels the taste and aroma of the food at the same time, enriching the effect of food simulation.
  • the food taste simulation method provided by the embodiment of the present disclosure can determine the food information of the target food according to the food simulation trigger signal when receiving the food simulation trigger signal, and according to the food Information, further determining a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food, and finally releasing the airflow through the airflow chip disposed in the oral cavity according to the flow rate and the flow rate of the airflow, and the food mouthfeel simulation method provided by the embodiment of the present disclosure
  • the use of gas to simulate the taste of a variety of foods, without the need for current and temperature stimulation improves the safety of food simulation, and enriches the effect of food simulation.
  • steps 205 to 207 may be performed before step 202. Any method that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present disclosure is intended to be included in the scope of the present disclosure, and therefore will not be described again.
  • 3-1 is a schematic structural diagram of a food mouthfeel simulation system according to an embodiment of the present disclosure. As shown in FIG. 3-1, the system includes a signal processing device 301 and an airflow chip 302 disposed in the oral cavity.
  • the signal processing device 301 can be a server or a terminal having a signal processing function, such as a mobile phone, a computer, a wearable device, etc., and the signal processing device 301 can also be a signal processing module integrated in the terminal.
  • the airflow chip 302 can be disposed on the user's teeth by means of an electronic skin, or can be placed on the user's gums or dentures. As shown in FIG. 3-2, the airflow chip 302 can include a plurality of functional layers, such as a signal receiving functional layer 3021, a gas generating functional layer 3022, and a gas releasing functional layer 3023.
  • Each functional layer can correspondingly implement different functions, wherein the signal receiving functional layer 3021 is configured to receive a signal sent by the signal processing device, and the gas generating functional layer 3022 is pre-configured with a plurality of basic elements for generating a gas, such as carbon and hydrogen. , oxygen and helium, etc., can also be set to useful A catalyst for accelerating gas generation.
  • a predetermined gas such as oxygen
  • the gas generating functional layer 3022 may be generated by the gas generating functional layer 3022, and then the predetermined gas may be released by the gas release function layer 3023 according to the flow rate and flow rate indicated by the signal.
  • the gas flows in the human oral cavity to form a gas flow, so that the human body feels the feeling of fullness of the food in the oral cavity, thereby realizing the effect of simulating the taste of the food.
  • the signal processing device 301 is configured to determine, according to the food simulation trigger signal, food information of the target food when receiving the food simulation trigger signal, and determine, according to the food information, a gas flow, such as a flow rate, for simulating the taste of the target food.
  • a gas flow such as a flow rate
  • the flow rate and a signal to the airflow chip indicating the flow rate and flow rate of the airflow.
  • determining the flow rate or flow rate of the airflow is only an example, and it is also possible to confirm other properties of the airflow, for example, flow direction, coverage in the oral cavity, vortex Ways and so on, so that the taste of the food can be simulated more realistically.
  • the air flow chip 302 is configured to receive a signal indicating a flow rate and a flow rate of the air flow, and release the air flow according to the flow rate and the flow rate of the air flow.
  • the food taste simulation system provided by the embodiment of the present disclosure can determine the food information of the target food according to the food simulation trigger signal when receiving the food simulation trigger signal, and according to the food The information further determines a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food, and finally can release the airflow through the airflow chip disposed in the oral cavity according to the flow rate and the flow rate of the airflow, and the food taste simulation system provided by the embodiment of the present disclosure
  • the use of gas to simulate the taste of a variety of foods, without the need for current and temperature stimulation improves the safety of food simulation, and enriches the food simulation effect.
  • FIG. 3-3 is a schematic structural diagram of another food mouthfeel simulation system according to an embodiment of the present disclosure. As shown in FIG. 3-3, the system includes: a signal processing device 301, an airflow chip 302 disposed in the oral cavity, and an odor release. Device 303 and brain wave acquisition device 304.
  • the signal processing device 301 is configured to: when receiving the food simulation trigger signal, determine food information of the target food according to the food simulation trigger signal; and according to the food information, determine a flow rate and a flow rate of the airflow for simulating the taste of the target food And transmitting a signal to the airflow chip indicating the flow rate and flow rate of the airflow.
  • the air flow chip 302 is configured to receive a signal indicating a flow rate and a flow rate of the air flow, and release the air flow according to the flow rate and the flow rate of the air flow.
  • the signal processing device 301 is further configured to determine, according to the food information, a target scent molecule for simulating an odor of the target food, and send a signal indicating the target scent molecule to the airflow chip.
  • the scent releasing device 303 is configured to receive a signal indicating the target odor molecule and release the target odor molecule.
  • the brain wave collecting device 304 is configured to collect a brain wave signal of the human body and send the signal to the signal processing device.
  • the signal processing device 301 is further configured to:
  • the brain wave signal is the same as any food type signal prestored in the database, determining the brain wave signal as the food simulation trigger signal;
  • the food information of the target food corresponding to the food simulation trigger signal is determined according to the correspondence between the preset signal and the food information.
  • the scent release device 303 can include an odor releaser 3031 or an olfactory chip 3032 disposed within the oral cavity.
  • the scent releaser 3031 may be provided with a plurality of containers for storing different odor molecules, and when the scent release device receives the signal sent by the signal processing device for indicating the target odor molecules, the odor molecules may be subjected to current Stimulation or heat treatment to release the target odor molecules into the air.
  • the scent release device may also be provided with a fan for generating a flow rate of a certain flow rate when the target odor molecules are released, thereby accelerating the release of the target odor molecules. The user feels the smell of the target food.
  • the scent release chip 3032 may include a plurality of functional layers such as a signal receiving functional layer, an odor molecular storage functional layer, and an odor molecular stimulation functional layer, and the like. Each functional layer can correspondingly implement different functions, wherein the signal receiving functional layer is used for receiving signals sent by the signal processing device, and the odor molecular storage functional layer is pre-stored with various odor molecules, ethyl acetate, decyl alcohol and limonene. When the scent release chip 3032 receives the signal, the target odor molecule can be stimulated by the odor molecule stimulating functional layer to release the target odor molecule into the oral cavity.
  • a signal receiving functional layer is used for receiving signals sent by the signal processing device
  • the odor molecular storage functional layer is pre-stored with various odor molecules, ethyl acetate, decyl alcohol and limonene.
  • the scent release chip and the airflow chip can also be integrated in the same chip, and the target scent molecules released by the scent release chip can be released into the human oral cavity faster by the gas released by the airflow chip. The user feels the taste and aroma of the food at the same time, enriching the effect of food simulation.
  • the scent release device 303 is further configured to:
  • the target odor molecule is released by the scent releaser 3031 or the scent release chip 3032.
  • the food information includes an identification of the foodstuff and a cooking method of the food, the signal processing device 301, Also used for:
  • the flow rate and flow rate of the airflow for simulating the mouthfeel of the target food are determined by a preset pattern recognition algorithm according to the identification of the foodstuff and the cooking method of the food.
  • the food information includes an identification of the foodstuff, an identification of the taste, and a cooking method of the food.
  • the signal processing device 301 is further configured to:
  • the target odor molecule is determined based on the identification of the taste.
  • the target odor molecule is determined by a preset pattern recognition algorithm according to the identification of the food material, the identification of the taste, and the cooking method of the food.
  • the food-like signal pre-stored in the database is an electrical signal
  • the signal processing device 301 is further configured to compare the waveform of the brain wave signal with the waveform of the electrical signal pre-stored in the database.
  • the pre-stored food-like signal in the database is a logic signal
  • the signal processing device 301 is further configured to: convert the brain wave signal into a logic signal, and perform the logic signal with a logic signal pre-stored in the database. Compared.
  • the food taste simulation system provided by the embodiment of the present disclosure can determine the food information of the target food according to the food simulation trigger signal when receiving the food simulation trigger signal, and according to the food The information further determines a flow rate and a flow rate of the airflow for simulating the mouthfeel of the target food, and finally can release the airflow through the airflow chip disposed in the oral cavity according to the flow rate and the flow rate of the airflow, and the food taste simulation system provided by the embodiment of the present disclosure
  • the use of gas to simulate the taste of a variety of foods, without the need for current and temperature stimulation improves the safety of food simulation, and enriches the effect of food simulation.

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Abstract

一种食物口感模拟方法，用于食物口感模拟系统，所述方法包括：在接收到食物模拟触发信号时，根据所述食物模拟触发信号确定目标食物的食物信息；根据所述食物信息，确定用于模拟所述目标食物的口感的气流；根据所述气流，通过设置于口腔内的气流芯片释放气流。该方法提高了食物模拟的安全性，且丰富了食物模拟的效果。还提供了一种食物口感模拟系统。

Description

食物口感模拟方法及系统 技术领域
本公开实施例涉及一种食物口感模拟方法及食物口感模拟系统。
背景技术
人们对于美食的诱惑总是难以抵制的，但是无节制的饮食不仅会引起身体的不适，还会使身体出现营养过剩、体重指数超标等健康问题。
相关技术中，为了在满足人们味蕾的同时，避免摄入过量的食物，研究人员研发了一种味觉模拟装置，该装置可以控制电流的大小和温度的高低，并向舌头传递电流和温度。该味觉模拟装置能够通过对使用者的舌头进行电流和温度的刺激，让使用者感受到酸、甜、苦、咸等味觉。
但是，相关技术中的味觉模拟装置需要对使用者的舌头进行电流和温度的刺激，具有安全隐患，且味觉模拟效果单一。
发明内容
为了解决现有技术的问题，本公开提供了一种食物口感模拟方法及系统。
根据本公开的至少一个实施例，提供了一种食物口感模拟方法，用于食物口感模拟系统，所述方法包括：在接收到食物模拟触发信号时，根据所述食物模拟触发信号确定目标食物的食物信息；根据所述食物信息，确定用于模拟所述目标食物的口感的气流；根据所述气流，通过设置于口腔内的气流芯片释放气流。
例如，根据所述食物信息，确定用于模拟所述目标食物的口感的气流的流速和流量；根据所述气流的流速和流量，通过设置于口腔内的气流芯片释放气流。
例如，根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子；释放所述目标气味分子。
例如，所述在接收到食物模拟触发信号时，根据所述食物模拟触发信号确定目标食物的食物信息，包括：采集人体的脑电波信号；将所述脑电波信号与 数据库中预存的食物类信号进行比较；当所述脑电波信号与数据库中预存的任一食物类信号相同时，确定所述脑电波信号为所述食物模拟触发信号；根据预设的食物类信号与食物信息的对应关系，确定所述食物模拟触发信号所对应的目标食物的食物信息。
例如，所述释放所述目标气味分子，包括：通过气味释放器和/或设置于口腔内的气味释放芯片释放所述目标气味分子。
例如，所述食物信息包括食材的标识，所述根据所述食物信息，确定用于模拟所述目标食物的口感的气流，包括：统计所述目标食物的食物信息中食材的标识的个数；当所述食材的标识的个数等于1时，根据所述食材的标识，确定所述用于模拟所述目标食物的口感的气流。
例如，所述食物信息还包括食物的料理方法，所述根据所述食物信息，确定用于模拟所述目标食物的口感的气流，包括：当所述食材的标识的个数大于1时，根据所述食材的标识和食物的料理方法，通过预设的模式识别算法确定所述用于模拟所述目标食物的口感的气流。
例如，所述食物信息包括食材的标识和味道的标识，所述根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子，包括：统计所述目标食物的食物信息中食材的标识的个数；当所述食材的标识的个数等于1时，根据所述味道的标识，确定所述目标气味分子。
例如，所述食物信息还包括食物的料理方法，所述根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子，包括：当所述食材的标识的个数大于1时，根据所述食材的标识、味道的标识和食物的料理方法，通过预设的模式识别算法确定所述目标气味分子。
例如，所述数据库中预存的食物类信号为电信号，所述将所述脑电波信号与数据库中预存的食物类信号进行比较，包括：将所述脑电波信号的波形与所述数据库中预存的食物类的电信号的波形进行对比。
例如，所述数据库中预存的食物类信号为逻辑信号，所述将所述脑电波信号与数据库中预存的食物类信号进行比较，包括：将所述脑电波信号转换为逻辑信号；将所述转换后的逻辑信号与所述数据库中预存的食物类的逻辑信号进行对比。
根据本公开的至少一个实施例，还提供了一种食物口感模拟系统，所述系 统包括：信号处理装置和设置于口腔内的气流芯片，所述信号处理装置，被配置为在接收到食物模拟触发信号时，根据所述食物模拟触发信号确定目标食物的食物信息；根据所述食物信息，确定用于模拟所述目标食物的口感的气流，并向所述气流芯片发送指示所述气流的信号；所述气流芯片，被配置为接收指示所述气流的信号，并根据所述气流的信号，释放气流。
例如，所述信号处理装置，根据所述食物信息，确定用于模拟所述目标食物的口感的气流的流速和流量，并向所述气流芯片发送指示所述气流的流速和流量的信号；所述气流芯片，被配置为接收指示所述气流的流速和流量的信号，并根据所述气流的流速和流量，释放气流。
例如，还包括：气味释放装置，所述信号处理装置，还被配置为根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子，并向所述气流芯片发送指示所述目标气味分子的信号；所述气味释放装置，被配置为接收指示所述目标气味分子的信号，并释放所述目标气味分子。
例如，还包括：脑电波采集装置，所述脑电波采集装置被配置为采集人体的脑电波信号，并发送至所述信号处理装置，所述信号处理装置还被配置为：将所述脑电波信号与数据库中预存的食物类信号进行比较；当所述脑电波信号与数据库中预存的任一食物类信号相同时，确定所述脑电波信号为所述食物模拟触发信号；根据预设的食物类信号与食物信息的对应关系，确定所述食物模拟触发信号所对应的目标食物的食物信息。
例如，所述气味释放装置包括：气味释放器或设置于口腔内的气味释放芯片，所述气味释放装置，还被配置为：通过所述气味释放器和/或所述气味释放芯片释放所述目标气味分子。
例如，所述食物信息包括食材的标识，所述信号处理装置，还被配置为：统计所述目标食物的食物信息中食材的标识的个数；当所述食材的标识的个数等于1时，根据所述食材的标识，确定所述用于模拟所述目标食物的口感的气流。
例如，所述食物信息还包括食物的料理方法，所述信号处理装置，还被配置为：当所述食材的标识的个数大于1时，根据所述食材的标识和食物的料理方法，通过预设的模式识别算法确定所述被配置为模拟所述目标食物的口感的气流。
例如，所述食物信息包括食材的标识和味道的标识，所述信号处理装置，还被配置为：统计所述目标食物的食物信息中食材的标识的个数；当所述食材的标识的个数等于1时，根据所述味道的标识，确定所述目标气味分子。
例如，所述食物信息还包括食物的料理方法，所述信号处理装置，还被配置为：当所述食材的标识的个数大于1时，根据所述食材的标识、味道的标识和食物的料理方法，通过预设的模式识别算法确定所述目标气味分子。
例如，所述数据库中预存的食物类信号为电信号，所述信号处理装置，还被配置为：将所述脑电波信号的波形与所述数据库中预存的食物类的电信号的波形进行对比。
例如，所述数据库中预存的食物类信号为逻辑信号，所述信号处理装置，还被配置为：将所述脑电波信号转换为逻辑信号；将所述转换后的逻辑信号与所述数据库中预存的食物类的逻辑信号进行对比。
例如，所述气流芯片包括：信号接收层、气体生成层以及气体释放层，所述信号接收层，被配置为接收信号处理装置发送的信号；所述气体生成层，被配置为预先设置有用于生成气体的基础元素和/或用于加速气体生成的催化剂；所述气体释放层，根据所述信号接收层的接收的信号的指示，释放所述气流生成层生成的物质。
例如，所述气味释放装置包括：容器，用于存储气味分子，当所述气味释放装置接收到所述信号处理装置发送的用于指示目标气味分子的信号后，对所述容器中存储的目标气味分子进行处理，使所述目标气味分子释放到空气。
例如，所述气味释放装置还包括：风扇，用于在释放目标气味分子时，产生气流，以促进目标气味分子的释放。
附图说明
为了更清楚地说明本公开实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本公开的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1-1是本公开实施例提供的一种食物口感模拟方法所涉及的食物口感模 拟系统的示意图；
图1-2是本公开实施例提供的一种食物口感模拟方法的流程图；
图2-1是本公开实施例提供的另一种食物口感模拟方法的流程图；
图2-2是本公开实施例提供的一种确定目标食物的食物信息的方法流程图；
图2-3是本公开实施例提供的一种预设的模式识别算法的流程图；
图3-1是本公开实施例提供的一种食物口感模拟系统的结构示意图；
图3-2是本公开实施例提供的一种气流芯片的结构示意图；
图3-3是本公开实施例提供的另一种食物口感模拟系统的结构示意图；
图3-4是本公开实施例提供一种气味释放装置的示意图。
具体实施方式
为使本公开的目的、技术方案和优点更加清楚，下面将结合附图对本公开实施方式作进一步地详细描述。
图1-1是本公开实施例提供的一种食物口感模拟方法所涉及的食物口感模拟系统的示意图，如图1-1所示，该系统可以包括：脑电波采集装置10、信号处理装置11、气流芯片12和气味释放装置13。该信号处理装置11分别与脑电波采集装置10、气流芯片12和气味释放装置13通过有线或无线网络连接。其中，该脑电波采集装置10可以为帽状结构，例如，头盔。也可以为头戴式耳机状的结构，或者为贴附在人体脑部的电子皮肤。
脑电波是大脑在活动时，脑皮质细胞群之间形成电位差，从而在大脑皮质的细胞外产生的电流。脑电波记录了大脑活动时的电波变化，因此当用户产生想吃某种事物的想法时，其脑电波信号也会相应的发生改变。在图1-1所示的系统中，脑电波采集装置10可以实时采集人体的脑电波信号，并将该脑电波信号发送至信号处理装置11，信号处理装置11用于将该脑电波信号与数据库中存储的食物类信号进行对比，并确定该脑电波信号所对应的目标食物，进而确定用于模拟该目标食物口感的气流的流速和流量，以及用于模拟该目标食物气味的目标气味分子。信号处理装置11例如可以由软件或硬件或固件来实现，例如可以使用通用处理器芯片(例如中央处理单元CPU)来实现，也可以使用专用处理器芯片来实现，例如，可编程逻辑电路，现场可编程门阵列等。信号处理装置11将信号发送给气流芯片，最后由气流芯片12根据信号的指示来释放气流。 由气味释放装置13释放目标气味分子，从而达到模拟用户脑中所想食物的口感和气味的效果。气流芯片12例如可以是微处理器芯片或芯片组。气味释放装置13例如可以包括容器，用于存储气味分子，当接收到所述信号处理装置发送的用于指示目标气味分子的信号后，对容器中存储的目标气味分子进行处理，使目标气味分子释放到空气。还例如，气味释放装置还可以包括风扇，用于在释放目标气味分子时，产生气流，以促进目标气味分子的释放。
图1-2是本公开实施例提供的一种食物口感模拟方法的流程图，该方法可以应用于图1-1所示的系统中，参见图1-2，该方法包括：
步骤101、在接收到食物模拟触发信号时，根据该食物模拟触发信号确定目标食物的食物信息。
步骤102、根据该食物信息，确定用于模拟该目标食物的口感的气流的流速和流量。
步骤103、根据该气流的流速和流量，通过设置于口腔内的气流芯片释放气流。
综上所述，本公开实施例提供的一种食物口感模拟方法，该食物口感模拟系统在接收到食物模拟触发信号时，可以根据该食物模拟触发信号确定目标食物的食物信息，并根据该食物信息，进一步确定用于模拟该目标食物的口感的气流。例如确定气流的流速和流量，最后可以根据该气流的流速和流量，通过设置于口腔内的气流芯片释放气流，本公开实施例提供的食物口感模拟方法使用气体模拟各种食物的口感，无需采用电流和温度刺激，提高了食物模拟的安全性，且丰富了食物模拟的效果。当然，本领域技术人员能够了解，为了模拟目标食物的口感，确定气流的流速或流量仅仅是一种示例，还可以确认气流的其他属性，例如，流动方向，在口腔内的覆盖范围，涡旋方式等等，从而可以更逼真地模拟食物的口感。
例如，该方法还包括：
根据该食物信息，确定用于模拟该目标食物的气味的目标气味分子，释放该目标气味分子。
例如，该在接收到食物模拟触发信号时，根据该食物模拟触发信号确定目标食物的食物信息，包括采集人体的脑电波信号，将该脑电波信号与数据库中预存的食物类信号进行比较，当该脑电波信号与数据库中预存的任一食物类信 号相同时，确定该脑电波信号为该食物模拟触发信号，根据预设的食物类信号与食物信息的对应关系，确定该食物模拟触发信号所对应的目标食物的食物信息。
例如，该释放该目标气味分子包括通过气味释放器或者设置于口腔内的气味释放芯片释放该目标气味分子。
例如，该食物信息包括食材的标识和食物的料理方法，该根据该食物信息，确定用于模拟该目标食物的口感的气流的流速和流量，包括：
统计该目标食物的食物信息中食材的标识的个数；
当该食材的标识的个数等于1时，根据该食材的标识，确定该用于模拟该目标食物的口感的气流的流速和流量。
例如，当该食材的标识的个数大于1时，根据该食材的标识和食物的料理方法，通过预设的模式识别算法确定该用于模拟该目标食物的口感的气流的流速和流量。
例如，该食物信息包括食材的标识、味道的标识和食物的料理方法，该根据该食物信息，确定用于模拟该目标食物的气味的目标气味分子包括统计该目标食物的食物信息中食材的标识的个数，当该食材的标识的个数等于1时，根据该味道的标识，确定该目标气味分子，当该食材的标识的个数大于1时，根据该食材的标识、味道的标识和食物的料理方法，通过预设的模式识别算法确定该目标气味分子。
例如，该数据库中预存的食物类信号为电信号，该将该脑电波信号与数据库中预存的食物类信号进行比较包括将该脑电波信号的波形与该数据库中预存的食物类的电信号的波形进行对比。
例如，该数据库中预存的食物类信号为逻辑信号，该将该脑电波信号与数据库中预存的食物类信号进行比较包括将该脑电波信号转换为逻辑信号，将该逻辑信号与该数据库中预存的食物类的逻辑信号进行对比。
综上所述，本公开实施例提供的一种食物口感模拟方法，该食物口感模拟系统在接收到食物模拟触发信号时，可以根据该食物模拟触发信号确定目标食物的食物信息，并根据该食物信息，进一步确定用于模拟该目标食物的口感的气流的流速和流量，最后可以根据该气流的流速和流量，通过设置于口腔内的气流芯片释放气流，该气流是由对人体无害的气体产生的，因此本公开实施例 提供的食物口感模拟方法及系统的安全性较高，并且还能通过气味释放装置模拟食物的气味，丰富了食物模拟的效果。
图2-1是本公开实施例提供的另一种食物口感模拟方法的流程图，该方法可以应用于图1-1所示的系统中，参见图2-1，该方法包括：
步骤201、信号处理装置在接收到食物模拟触发信号时，根据该食物模拟触发信号确定目标食物的食物信息。
在本公开实施例中，该信号处理装置中可以存储有食物模拟信号与食物信息的对应关系，该食物信息中可以包括食材的标识、味道的标识和食物的料理方法等，当信号处理装置接收到食物模拟触发信号后，可以从存储的对应关系中，确定该食物模拟触发信号所对应的目标食物的食物信息。其中，该食物模拟触发信号可以为脑电波信号，也可以为用户直接在终端中输入的目标食物的名称，由终端对该用户输入的信息进行处理后，发送至该信号处理装置的数据信号。
图2-2是本公开实施例提供的一种确定目标食物的食物信息的方法流程图，如图2-2所示，当该食物模拟触发信号为脑电波信号时，该确定目标食物的食物信息的方法可以包括：
步骤2011、脑电波采集装置采集人体的脑电波信号。
在本公开实施例中，该食物口感模拟系统可以通过图1-1所示的脑电波采集装置10实时采集人体的脑电波信号。该脑电波采集装置中可以包括多个用于检测并采集脑电波的传感器，该多个传感器可以为湿性电极，也可以为干性电极，本公开实施例不做限定。其中，通过脑电波采集装置采集人体脑电波信号的具体过程可以参考相关技术，本公开实施例对此不做赘述。
步骤2012、脑电波采集装置将脑电波信号发送至信号处理装置。
由于脑电波信号一般较为微弱，脑电波采集装置采集到脑电波信号后，可以先对该脑电波信号进行滤波和差分放大处理，之后，再将处理后的脑电波信号通过无线连接，如蓝牙或者无线保真(英文：WIreless-FIdelity；简称：WI-FI)，或者有线连接的方式发送至信号处理装置。
步骤2013、信号处理装置将该脑电波信号与数据库中预存的食物类信号进行比较。
在本公开实施例中，信号处理装置的数据库中可以存储有多种预设的食物类信号，该食物类信号可以为电信号，也可以为逻辑信号。当该数据库中预存的食物类信号为电信号时，信号处理装置可以直接将接收到的脑电波信号的波形与该数据库中预存的食物类的电信号的波形进行对比；当该数据库中预存的食物类信号为逻辑信号时，信号处理装置可以先对接收到的脑电波信号进行模数转换，将脑电波信号转换为逻辑信号后，再将该转换后的逻辑信号与该数据库中预存的食物类的逻辑信号进行对比。
示例的，假设信号处理装置的数据库中预存的食物类信号为逻辑信号，该信号处理装置对接收到的脑电波信号进行模数转换后，得到该脑电波信号所对应的逻辑信号为00110100，则信号处理装置可以将该逻辑信号00110100与数据库中存储的所有食物类的逻辑信号一一进行对比。
步骤2014、当该脑电波信号与数据库中预存的任一食物类信号相同时，确定该脑电波信号为该食物模拟触发信号。
当该脑电波信号与数据库中存储的任一食物类信号相同时，信号处理装置即可确定该脑电波信号为食物模拟触发信号，即该脑电波信号是与食物相关的信号。示例的，若信号处理装置的数据库中存储有食物类的逻辑信号00110100，则该信号处理装置可以将该脑电波信号确定为食物模拟触发信号。
步骤2015、根据预设的信号与食物信息的对应关系，确定该食物模拟触发信号所对应的目标食物的食物信息。
在本公开实施例中，该信号处理装置的数据库中还可以存储有信号与食物信息的对应关系，由于构成不同食物的食材不同，有些食物是由单一食材构成的，例如苹果和柠檬，而有些食物则是由多种食材通过特定的料理方法形成的，例如番茄炒蛋，其中单一食材的口感和气味是可以直接确定的，而包括多种食材的食物的口感和气味则需要综合考虑每种食材的用量以及料理方法等因素。因此，数据库中存储的食物信息可以包括食材的标识、味道的标识和食物的料理方法，其中食物的料理方法可以包括炒、煎、蒸、煮和烤等。当信号处理装置确定接收到的脑电波信号为食物模拟触发信号后，可以根据该信号与食物信息的对应关系，进一步确定该食物模拟触发信号所对应的目标食物的食物信息。示例的，该数据库中存储的信号与食物信息的对应关系可以如表1所示，其中，逻辑信号00110100所对应的食物为苹果，所对应的食物信息包括食材的标识： 01和味道的标识011；逻辑信号00110110所对应的食物为番茄炒蛋，所对应的食物信息包括食材的标识：03和04，味道的标识031，041以及食物的料理方法：炒，其中03和031可以分别为番茄所对应的食材的标识和味道的标识，04和041可以分别为鸡蛋所对应的食材的标识和味道的标识。
表1
Figure PCTCN2016095556-appb-000001
步骤202、信号处理装置根据该食物信息，确定用于模拟该目标食物的口感的气流的流速和流量。
在本公开实施例中，该信号处理装置中可以存储有食材的标识与用于模拟该食材口感的气流信息的对应关系，其中该气流信息包括气流的流量和流速。因此，信号处理装置确定目标食物的食物信息后，可以先统计该目标食物的食物信息中食材的标识的个数，当该食材的标识的个数等于1时，信号处理装置可以根据该食材的标识，从预先存储的食材的标识与用于模拟该食材口感的气流信息的对应关系中，确定用于模拟该目标食物的口感的气流的流速和流量。
示例的，假设数据库中预先存储的食材的标识与用于模拟该食材口感的气流信息的对应关系如表2所示，其中，食材标识01(即苹果的标识)所对应的气流的流速为10毫升每分，流量为10毫升，食材标识02(即柠檬的标识)所对应的气流的流速为7毫升每分，流量为10毫升。若信号处理装置确定的目标食物为苹果，该目标食物的食物信息为：食材的标识：01，味道的标识011，由于该食物信息中，食材的标识的个数为1，即该目标食物为单一食材的食物，则该信号处理装置可以直接根据该食物信息中的食材的标识01，从表2所示的对应关系中，确定用于模拟该目标食物：苹果的口感的气流的流速为：10毫升每分，流量为：10毫升。
表2
Figure PCTCN2016095556-appb-000002
当该食材的标识的个数大于1时，信号处理装置可以根据目标食物的食物信息中，食材的标识和食物的料理方法，通过预设的模式识别算法确定用于模拟该目标食物的口感的气流的流速和流量。图2-3是本公开实施例提供的一种预设的模式识别算法的流程图，该模式识别算法可以为感知器算法(英文：Perceptron Approach)，该感知器算法是基于罗森布拉特(英文：Rosenblatt)提出的感知器(英文：Perceptron)准则函数建立的。如图2-3所示，在该算法中，信号处理装置可以将食材的标识作为训练样本X，该训练样本X＝{X1，X2，...，Xi，...，XN}，其中N为食材的标识的个数，将每种食材的用量作为权向量W，W＝{W1，W2，...，Wi，...，WN}，c为算法中预设的校正系数，并将食物的料理方法，例如炒、煎、煮等作为该算法的环境变量进行输入，其中，该环境变量中具体可以包括每种料理方法所对应的料理温度、料理时长等参数。之后，信号处理装置可以不断改变该每种食材的用量，即不断改变训练样本X中每个样本的权向量，然后将不同的权向量对训练样本X进行多轮迭代计算，例如，第k轮迭代的权向量可以表示为W(k)，当迭代分类完全正确时，将该轮迭代的权向量确定为每种食材的目标用量。信号处理装置中还可以预设有迭代次数阈值L，当训练样本迭代L次时，信号处理装置即可将该第L轮迭代后确定的权向量W(L)确定为每种食材的目标用量。其中，使用感知器算法确定权向量的具体步骤可以参考相关技术，本公开实施例在此不做赘述。
信号处理装置确定每种食材的目标用量后，可以计算每种食材的目标用量在所有食材总用量中所占的比例，再根据该每种食材的比例通过下述公式(1)确定气流的流速和流量：
Figure PCTCN2016095556-appb-000003
其中，vt,ct分别为用于模拟目标食物的口感的气流的流速和流量，N为食材的标识的个数，即食材的种类的个数，ai为第i种食材的目标用量在所有食材总用量中所占的比例，vi和ci分别为信号处理装置中存储的第i种食材所对应的气体的流速和流量。
示例的，假设信号处理装置确定的目标食物的食物信息为：食材的标识：03，04，味道的标识031，041，食物的料理方法：炒，则由于该目标食物：番茄炒蛋的食物信息中，食材的标识的个数为2，大于1，即该目标食物不是由单一食材组成的食物，因此该信号处理装置可以根据图2-3所示的模式识别算法，以食材的标识：03，04作为训练样本X，并将食物的料理方法：炒作为已知条件进行输入，假设两轮迭代后的判断结果为正确，且此时每种食材的目标用量为：食材的标识03的目标用量为75(单位为克)，食材的标识04的目标用量为25，则信号处理装置可以计算得到每种食材的目标用量在所有食材总用量中所占的比例：食材的标识03所占比例为0.75，食材的标识04所占比例为0.25。之后，信号处理装置可以根据表2中所示的食材的标识与气流信息的对应关系，通过上述公式(1)确定用于模拟目标食物：番茄炒蛋的口感的气流的流速和流量：
Figure PCTCN2016095556-appb-000004
即信号处理装置根据预设的模式识别算法确定的用于模拟该目标食物：番茄炒蛋的口感的气流流速为：5毫升每分，气流流量为：9毫升。
实际应用中，信号处理装置还可以将上述模式识别算法中每轮迭代后的结果生成一个备选的流速和流量，并将根据该备选的流速和流量生成的气流释放至用户的口腔，以便用户对该备选的流速和流量进行评价，当信号处理装置接收到用户根据预设操作触发的确定信息时，可以将该轮迭代中确定的权向量确定为每种食材的目标用量，并在数据库中存储该目标用量，以便当信号处理装置再次接收到相同的目标食物的食物信息时，可以直接根据该每种食材的目标用量确定用于模拟该目标食物的口感的气流和流速。其中，该预设操作可以为 语音操作也可以为按键操作或脑电波等方式，本公开实施例不做限定。
需要说明的是，模拟该目标食物的口感的气流的流速和流量的算法还可以根据具体食材和食物的料理方法确定，本公开实施例只是示意性说明。
步骤203、信号处理装置向气流芯片发送指示该气流的流速和流量的信号。
在本公开实施例中，该食物口感模拟系统还可以包括设置于用户口腔内的气流芯片，当信号处理装置确定用于模拟目标食物的口感的气流的流速和流量后，可以将用于指示气流的流速和流量的信号发送至该气流芯片，示例的，信号处理装置向气流芯片发送的信号可以为：流速：10毫升每分，流量：10毫升。
步骤204、设置于口腔内的气流芯片根据该气流的流速和流量，释放气流。
该气流芯片可以根据该气流的流速和流量，生成并释放预设的气体，该预设的气体可以为对人体无害的气体，例如氧气等，或者少量的惰性气体，如二氧化碳或者氦气等。
其中，该气流芯片可以包括多个功能层，例如信号接收功能层、气体生成功能层和气体释放功能层等。每个功能层可以对应实现不同的功能，其中信号接收功能层用于接收信号处理装置发送的信号，气体生成功能层中预先设置有多种用于生成气体的基础元素，例如碳、氢、氧和氦等，还可以设置有用于加速气体生成的催化剂。当该气流芯片接收到信号后，可以通过该气体生成功能层生成预设的气体，例如氧气，之后可以通过气体释放功能层，按照信号指示的流量和流速释放该预设的气体。该气体在人体口腔内流动形成气流，使人体感受到口腔内有食物充实的感觉，进而实现模拟食物口感的效果。示例的，假设信号处理装置发送的信号中所指示的气流的流速为：10毫升每分，流量为：10毫升，则该设置于口腔内的气流芯片可以根据该信号，生成预设的气体，并以每分钟10毫升的速度在人体口腔内释放气体，释放的气体的流量可以为10毫升，使用户感受到咀嚼苹果的口感。
步骤205、信号处理装置根据该食物信息，确定用于模拟该目标食物的气味的目标气味分子。
该信号处理装置中还可以存储有味道的标识与用于模拟该食材气味的气味分子的对应关系。与上述步骤202中的处理流程相似，信号处理装置确定目标食物的食物信息后，可以先统计该目标食物的食物信息中食材的标识的个数，当该食材的标识的个数等于1时，信号处理装置可以根据食物信息中的味道的 标识，从预先存储的味道的标识与用于模拟该食材气味的气味分子的对应关系中，确定用于模拟该目标食物气味的目标气味分子。
示例的，该数据库中存储的味道的标识与用于模拟该食材气味的气体的对应关系可以如表3所示，其中，味道的标识为011(即苹果所对应的味道的标识)所对应的气味分子包括丁酸丁酯，丁酸丁酯和己醇，味道的标识为021(即柠檬所对应的味道的标识)所对应的气味分子包括柠檬烯和柠檬醛。当目标食物为苹果时，信号处理装置确定的该目标食物：苹果的食物信息为：食材的标识：01，味道的标识011，由于该食物信息中食材的标识的个数为1，即该目标食物为单一食材的食物，因此该信号处理装置可以直接根据该食物信息中的味道的标识011，从表3所示的对应关系中，确定用于模拟该目标食物：苹果的气味的目标气味分子为：丁酸丁酯，丁酸丁酯和己醇。
表3
味道的标识 气味分子
011 丁酸丁酯，丁酸丁酯，己醇
021 柠檬烯，柠檬醛
031 茄红素
041 乙基苯，丁基苯
当该食材的标识的个数大于1时，信号处理装置可以根据目标食物的食物信息中，食材的标识和食物的料理方法，通过如图2-3所示的模式识别算法确定用于模拟该目标食物的气味的目标气味分子。在该算法中，信号处理装置可以将食材的标识作为训练样本X，将每种食材的用量作为权向量W，并将食物的料理方法作为该算法的环境变量进行输入，之后，信号处理装置可以不断改变该每种食材的用量，将不同的权向量对训练样本X进行多轮迭代计算，当判断结果为正确时，将该轮迭代的权向量确定为每种食材的目标用量。其中，信号处理装置确定每种食材的目标用量的具体过程可以参考上述步骤202，本公开实施例在此不再重复赘述。信号处理装置确定目标食物中每种食材的目标用量之后，可以计算每种食材的目标用量在所有食材总用量中所占的比例，再根据该 每种食材的味道标识所对应的气味分子，以及每种食材的比例值确定用于模拟目标食物的气味的目标气味分子中每种气味分子所占的比例。
示例的，假设信号处理装置确定的目标食物的食物信息为：食材的标识：03，04，味道的标识031，041，食物的料理方法：炒，则由于该目标食物：番茄炒蛋的食物信息中，食材的标识的个数为2，大于1，即该目标食物不是由单一食材组成的食物，因此该信号处理装置可以根据图2-3所示的模式识别算法，以食材的标识：03，04作为训练样本X，并将食物的料理方法：炒作为已知条件进行输入，假设两轮迭代后的判断结果为正确，且此时每种食材的目标用量为：食材的标识03的目标用量为75，食材的标识04的目标用量为25，则计算得到食材的标识03所占比例为0.75，食材的标识04所占比例为0.25，因此信号处理装置可以根据表3所示的味道的标识与气味分子的对应关系，确定用于组成目标气味分子的气味分子包括：茄红素，乙基苯和丁基苯，其中茄红素在目标气味分子中所占的比例为0.75，乙基苯和丁基苯在目标气味分子中所占的比例为0.25。即信号处理装置根据预设的模式识别算法确定的用于模拟该目标食物：番茄炒蛋的气味的目标气味分子是由75％的茄红素以及25％的乙基苯和丁基苯组成的。
步骤206、信号处理装置向气味释放装置发送指示该目标气味分子的信号。
信号处理模块确定目标气味分子后，可以将用于指示该目标气味分子的信号发送至气味释放装置，以便于该气味释放装置释放该目标气味分子。示例的，信号处理装置向气味释放装置发送的信号可以为目标气味分子：丁酸丁酯，丁酸丁酯，己醇分别对应的标识。
步骤207、气味释放装置释放该目标气味分子。
在本公开实施例中，气味释放装置可以为气味释放器或者设置于口腔内的气味释放芯片，气味释放装置中可以预先存储有多种用于模拟不同气味的气味分子。当气味释放装置接收到该信号处理装置发送的指示目标气味分子的信号后，可以通过电流刺激或者加热的方式对该信号中指示的目标气味分子进行处理，使得目标气味分子释放至空气中，进而达到模拟目标食物的气味的效果。示例的，假设气味释放器为设置于口腔内的气味释放芯片，并且该气味释放芯片接收到的信号处理装置发送的信号中包括目标气味分子：丁酸丁酯，丁酸丁酯，己醇分别对应的标识，则该气味释放芯片可以根据该标识，确定目标气味 分子为丁酸丁酯，丁酸丁酯和己醇，并通过在芯片内产生的电流刺激该三种目标气味分子，使该三种目标气味分子释放至用户的口腔中，以便用户可以闻到类似苹果的气味。
需要说明的是，在实际应用中，该气味释放芯片和气流芯片可以集成在同一个芯片中，气味释放芯片释放的目标气味分子可以在气流芯片所释放的气体的带动下，更快的释放至人体口腔内，使用户同时感受到食物的口感和香味，丰富了食物模拟的效果。
综上所述，本公开实施例提供的一种食物口感模拟方法，该食物口感模拟系统在接收到食物模拟触发信号时，可以根据该食物模拟触发信号确定目标食物的食物信息，并根据该食物信息，进一步确定用于模拟该目标食物的口感的气流的流速和流量，最后可以根据该气流的流速和流量，通过设置于口腔内的气流芯片释放气流，本公开实施例提供的食物口感模拟方法使用气体模拟各种食物的口感，无需采用电流和温度刺激，提高了食物模拟的安全性，且丰富了食物模拟的效果。
需要说明的是，本公开实施例提供的食物口感模拟方法的步骤的先后顺序可以进行适当调整，步骤也可以根据情况进行相应增减，示例的，步骤205至步骤207可以在步骤202之前执行。任何熟悉本技术领域的技术人员在本公开揭露的技术范围内，可轻易想到变化的方法，都应涵盖在本公开的保护范围之内，因此不再赘述。
图3-1是本公开实施例提供的一种食物口感模拟系统的结构示意图，如图3-1所示，该系统包括：信号处理装置301和设置于口腔内的气流芯片302。
其中，该信号处理装置301可以为服务器或者具有信号处理功能的终端，例如手机，电脑，可穿戴设备等，该信号处理装置301还可以为集成在上述终端中的一个信号处理模块。该气流芯片302可以通过电子皮肤的方式设置在用户的牙齿上，也可以设置在用户的牙床或者假牙上。如图3-2所示，该气流芯片302可以包括多个功能层，例如信号接收功能层3021、气体生成功能层3022和气体释放功能层3023。每个功能层可以对应实现不同的功能，其中信号接收功能层3021用于接收信号处理装置发送的信号，气体生成功能层3022中预先设置有多种用于生成气体的基础元素，例如碳、氢、氧和氦等，还可以设置有用 于加速气体生成的催化剂。当该气流芯片接收到信号后，可以通过该气体生成功能层3022生成预设的气体，例如氧气，之后可以通过气体释放功能层3023，按照信号指示的流量和流速释放该预设的气体。该气体在人体口腔内流动形成气流，使人体感受到口腔内有食物充实的感觉，进而实现模拟食物口感的效果。
该信号处理装置301，用于在接收到食物模拟触发信号时，根据该食物模拟触发信号确定目标食物的食物信息；根据该食物信息，确定用于模拟该目标食物的口感的气流，例如流速和流量，并向该气流芯片发送指示该气流的流速和流量的信号。当然，本领域技术人员能够了解，为了模拟目标食物的口感，确定气流的流速或流量仅仅是一种示例，还可以确认气流的其他属性，例如，流动方向，在口腔内的覆盖范围，涡旋方式等等，从而可以更逼真地模拟食物的口感。
该气流芯片302，用于接收指示该气流的流速和流量的信号，并根据该气流的流速和流量，释放气流。
综上所述，本公开实施例提供的一种食物口感模拟系统，该食物口感模拟系统在接收到食物模拟触发信号时，可以根据该食物模拟触发信号确定目标食物的食物信息，并根据该食物信息，进一步确定用于模拟该目标食物的口感的气流的流速和流量，最后可以根据该气流的流速和流量，通过设置于口腔内的气流芯片释放气流，本公开实施例提供的食物口感模拟系统使用气体模拟各种食物的口感，无需采用电流和温度刺激，提高了食物模拟的安全性，且丰富了食物模拟效果。
图3-3是本公开实施例提供的另一种食物口感模拟系统的结构示意图，如图3-3所示，该系统包括：信号处理装置301、设置于口腔内的气流芯片302、气味释放装置303和脑电波采集装置304。
该信号处理装置301，用于在接收到食物模拟触发信号时，根据该食物模拟触发信号确定目标食物的食物信息；根据该食物信息，确定用于模拟该目标食物的口感的气流的流速和流量，并向该气流芯片发送指示该气流的流速和流量的信号。
该气流芯片302，用于接收指示该气流的流速和流量的信号，并根据该气流的流速和流量，释放气流。
该信号处理装置301，还用于根据该食物信息，确定用于模拟该目标食物的气味的目标气味分子，并向该气流芯片发送指示该目标气味分子的信号。
该气味释放装置303，用于接收指示该目标气味分子的信号，并释放该目标气味分子。
该脑电波采集装置304，用于采集人体的脑电波信号，并发送至该信号处理装置，该信号处理装置301还用于：
将该脑电波信号与数据库中预存的食物类信号进行比较；
当该脑电波信号与数据库中预存的任一食物类信号相同时，确定该脑电波信号为该食物模拟触发信号；
根据预设的信号与食物信息的对应关系，确定该食物模拟触发信号所对应的目标食物的食物信息。
例如，如图3-4所示，该气味释放装置303可以包括：气味释放器3031或设置于口腔内的气味释放芯片3032。
该气味释放器3031中可以设置有多个用于存储不同气味分子的容器，当该气味释放器接收到信号处理装置发送的用于指示目标气味分子的信号后，可以对该目标气味分子进行电流刺激或者加热处理，使目标气味分子释放到空气中，该气味释放装置内部还可以设置有风扇，用于在释放目标气味分子时，产生一定流速的气流，以此加快目标气味分子的释放，使用户感受到目标食物的气味。
气味释放芯片3032可以包括多个功能层，例如信号接收功能层、气味分子存储功能层和气味分子刺激功能层等。每个功能层可以对应实现不同的功能，其中信号接收功能层用于接收信号处理装置发送的信号，气味分子存储功能层中预先存储有多种气味分子，乙酸乙酯、巳醇和柠檬烯等。当该气味释放芯片3032接收到信号后，可以通过该气味分子刺激功能层刺激目标气味分子，使得目标气味分子释放至口腔中。进一步的，该气味释放芯片和气流芯片还可以集成在同一个芯片中，气味释放芯片释放的目标气味分子，可以在气流芯片所释放的气体的带动下，更快的释放至人体口腔内，使用户同时感受到食物的口感和香味，丰富了食物模拟的效果。
该气味释放装置303，还用于：
通过该气味释放器3031或者该气味释放芯片3032释放该目标气味分子。
例如，该食物信息包括食材的标识和食物的料理方法，该信号处理装置301， 还用于：
统计该目标食物的食物信息中食材的标识的个数；
当该食材的标识的个数等于1时，根据该食材的标识，确定该用于模拟该目标食物的口感的气流的流速和流量；
当该食材的标识的个数大于1时，根据该食材的标识和食物的料理方法，通过预设的模式识别算法确定该用于模拟该目标食物的口感的气流的流速和流量。
例如，该食物信息包括食材的标识、味道的标识和食物的料理方法，该信号处理装置301，还用于：
统计该目标食物的食物信息中食材的标识的个数；
当该食材的标识的个数等于1时，根据该味道的标识，确定该目标气味分子。
例如，当该食材的标识的个数大于1时，根据该食材的标识、味道的标识和食物的料理方法，通过预设的模式识别算法确定该目标气味分子。
例如，该数据库中预存的食物类信号为电信号，该信号处理装置301，还用于：将该脑电波信号的波形与该数据库中预存的食物类的电信号的波形进行对比。
例如，该数据库中预存的食物类信号为逻辑信号，该信号处理装置301，还用于：将该脑电波信号转换为逻辑信号，将该逻辑信号与该数据库中预存的食物类的逻辑信号进行对比。
综上所述，本公开实施例提供的一种食物口感模拟系统，该食物口感模拟系统在接收到食物模拟触发信号时，可以根据该食物模拟触发信号确定目标食物的食物信息，并根据该食物信息，进一步确定用于模拟该目标食物的口感的气流的流速和流量，最后可以根据该气流的流速和流量，通过设置于口腔内的气流芯片释放气流，本公开实施例提供的食物口感模拟系统使用气体模拟各种食物的口感，无需采用电流和温度刺激，提高了食物模拟的安全性，且丰富了食物模拟的效果。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统和装置的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
以上所述仅为本公开的较佳实施例，并不用以限制本公开，凡在本公开的精神和原则之内，所作的任何修改、等同替换、改进等，均应包含在本公开的保护范围之内。
本申请要求于2015年11月4日递交的中国专利申请第201510741805.6号的优先权，在此全文引用上述中国专利申请公开的内容以作为本申请的一部分。

Claims (25)

  1. 一种食物口感模拟方法，用于食物口感模拟系统，所述方法包括：
    在接收到食物模拟触发信号时，根据所述食物模拟触发信号确定目标食物的食物信息；
    根据所述食物信息，确定用于模拟所述目标食物的口感的气流；
    根据所述气流，通过设置于口腔内的气流芯片释放气流。
  2. 根据权利要求1所述的方法，其中，
    根据所述食物信息，确定用于模拟所述目标食物的口感的气流的流速和流量；
    根据所述气流的流速和流量，通过设置于口腔内的气流芯片释放气流。
  3. 根据权利要求1或2所述的方法，所述方法还包括：
    根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子；
    释放所述目标气味分子。
  4. 根据权利要求1-3任一所述的方法，其中，所述在接收到食物模拟触发信号时，根据所述食物模拟触发信号确定目标食物的食物信息，包括：
    采集人体的脑电波信号；
    将所述脑电波信号与数据库中预存的食物类信号进行比较；
    当所述脑电波信号与数据库中预存的任一食物类信号相同时，确定所述脑电波信号为所述食物模拟触发信号；
    根据预设的食物类信号与食物信息的对应关系，确定所述食物模拟触发信号所对应的目标食物的食物信息。
  5. 根据权利要求3-4任一所述的方法，其中，所述释放所述目标气味分子，包括：
    通过气味释放器和/或设置于口腔内的气味释放芯片释放所述目标气味分子。
  6. 根据权利要求1-5任一所述的方法，其中，所述食物信息包括食材的标识，所述根据所述食物信息，确定用于模拟所述目标食物的口感的气流，包括：
    统计所述目标食物的食物信息中食材的标识的个数；
    当所述食材的标识的个数等于1时，根据所述食材的标识，确定所述用于模拟所述目标食物的口感的气流。
  7. 根据权利要求6所述的方法，其中，所述食物信息还包括食物的料理方法，所述根据所述食物信息，确定用于模拟所述目标食物的口感的气流，包括：
    当所述食材的标识的个数大于1时，根据所述食材的标识和食物的料理方法，通过预设的模式识别算法确定所述用于模拟所述目标食物的口感的气流。
  8. 根据权利要求3-7任一所述的方法，其中，所述食物信息包括食材的标识和味道的标识，所述根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子，包括：
    统计所述目标食物的食物信息中食材的标识的个数；
    当所述食材的标识的个数等于1时，根据所述味道的标识，确定所述目标气味分子。
  9. 根据权利要求8所述的方法，其中，所述食物信息还包括食物的料理方法，所述根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子，包括：
    当所述食材的标识的个数大于1时，根据所述食材的标识、味道的标识和食物的料理方法，通过预设的模式识别算法确定所述目标气味分子。
  10. 根据权利要求4-9任一所述的方法，其中，所述数据库中预存的食物类信号为电信号，所述将所述脑电波信号与数据库中预存的食物类信号进行比较，包括：
    将所述脑电波信号的波形与所述数据库中预存的食物类的电信号的波形进行对比。
  11. 根据权利要求4-9所述的方法，其中，所述数据库中预存的食物类信号为逻辑信号，所述将所述脑电波信号与数据库中预存的食物类信号进行比较，包括：
    将所述脑电波信号转换为逻辑信号；
    将所述转换后的逻辑信号与所述数据库中预存的食物类的逻辑信号进行对比。
  12. 一种食物口感模拟系统，所述系统包括：信号处理装置和设置于口腔内的气流芯片，
    所述信号处理装置，被配置为在接收到食物模拟触发信号时，根据所述食物模拟触发信号确定目标食物的食物信息；根据所述食物信息，确定用于模拟所述目标食物的口感的气流，并向所述气流芯片发送指示所述气流的信号；
    所述气流芯片，被配置为接收指示所述气流的信号，并根据所述气流的信号，释放气流。
  13. 根据权利要求12所述的食物口感模拟系统，其中，所述信号处理装置，根据所述食物信息，确定用于模拟所述目标食物的口感的气流的流速和流量，并向所述气流芯片发送指示所述气流的流速和流量的信号；
    所述气流芯片，被配置为接收指示所述气流的流速和流量的信号，并根据所述气流的流速和流量，释放气流。
  14. 根据权利要求12或13所述的系统，还包括：气味释放装置，
    所述信号处理装置，还被配置为根据所述食物信息，确定用于模拟所述目标食物的气味的目标气味分子，并向所述气流芯片发送指示所述目标气味分子的信号；
    所述气味释放装置，被配置为接收指示所述目标气味分子的信号，并释放所述目标气味分子。
  15. 根据权利要求12-14任一所述的系统，还包括：
    脑电波采集装置，所述脑电波采集装置被配置为采集人体的脑电波信号， 并发送至所述信号处理装置，所述信号处理装置还被配置为：
    将所述脑电波信号与数据库中预存的食物类信号进行比较；
    当所述脑电波信号与数据库中预存的任一食物类信号相同时，确定所述脑电波信号为所述食物模拟触发信号；
    根据预设的食物类信号与食物信息的对应关系，确定所述食物模拟触发信号所对应的目标食物的食物信息。
  16. 根据权利要求14或15所述的系统，其中，所述气味释放装置包括：气味释放器或设置于口腔内的气味释放芯片，
    所述气味释放装置，还被配置为：
    通过所述气味释放器和/或所述气味释放芯片释放所述目标气味分子。
  17. 根据权利要求12-16任一所述的系统，其中，所述食物信息包括食材的标识，所述信号处理装置，还被配置为：
    统计所述目标食物的食物信息中食材的标识的个数；
    当所述食材的标识的个数等于1时，根据所述食材的标识，确定所述用于模拟所述目标食物的口感的气流。
  18. 根据权利要求17所述的系统，其中，所述食物信息还包括食物的料理方法，所述信号处理装置，还被配置为：
    当所述食材的标识的个数大于1时，根据所述食材的标识和食物的料理方法，通过预设的模式识别算法确定所述被配置为模拟所述目标食物的口感的气流。
  19. 根据权利要求12-18任一所述的系统，其中，所述食物信息包括食材的标识和味道的标识，所述信号处理装置，还被配置为：
    统计所述目标食物的食物信息中食材的标识的个数；
    当所述食材的标识的个数等于1时，根据所述味道的标识，确定所述目标气味分子。
  20. 根据权利要求19所述的系统，其中，所述食物信息还包括食物的料理方法，所述信号处理装置，还被配置为：
    当所述食材的标识的个数大于1时，根据所述食材的标识、味道的标识和食物的料理方法，通过预设的模式识别算法确定所述目标气味分子。
  21. 根据权利要求15-20任一所述的系统，其中，所述数据库中预存的食物类信号为电信号，所述信号处理装置，还被配置为：
    将所述脑电波信号的波形与所述数据库中预存的食物类的电信号的波形进行对比。
  22. 根据权利要求15-20任一所述的系统，其中，所述数据库中预存的食物类信号为逻辑信号，所述信号处理装置，还被配置为：
    将所述脑电波信号转换为逻辑信号；
    将所述转换后的逻辑信号与所述数据库中预存的食物类的逻辑信号进行对比。
  23. 根据权利要求12-22任一所述的系统，其中，所述气流芯片包括：信号接收层、气体生成层以及气体释放层，
    所述信号接收层，被配置为接收信号处理装置发送的信号；
    所述气体生成层，被配置为预先设置有用于生成气体的基础元素和/或用于加速气体生成的催化剂；
    所述气体释放层，根据所述信号接收层的接收的信号的指示，释放所述气流生成层生成的物质。
  24. 根据权利要求14-22任一所述的系统，其中，所述气味释放装置包括：
    容器，用于存储气味分子，当所述气味释放装置接收到所述信号处理装置发送的用于指示目标气味分子的信号后，对所述容器中存储的目标气味分子进行处理，使所述目标气味分子释放到空气。
  25. 根据权利要求24所述的系统，其中，所述气味释放装置还包括：
    风扇，用于在释放目标气味分子时，产生气流，以促进目标气味分子的释放。
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