CN112493998B - Olfactory sensory evaluation method and system - Google Patents
Olfactory sensory evaluation method and system Download PDFInfo
- Publication number
- CN112493998B CN112493998B CN202011432942.9A CN202011432942A CN112493998B CN 112493998 B CN112493998 B CN 112493998B CN 202011432942 A CN202011432942 A CN 202011432942A CN 112493998 B CN112493998 B CN 112493998B
- Authority
- CN
- China
- Prior art keywords
- product
- experience
- odor
- electroencephalogram
- tested
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
- A61B5/4011—Evaluating olfaction, i.e. sense of smell
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
Abstract
The invention provides a method and a system for olfactory sensory evaluation, wherein the method comprises the following steps: receiving electroencephalogram signals acquired by electroencephalogram equipment and tested in a product odor experience process to obtain first electroencephalogram data changing along with time, wherein the product odor experience process is an experience process of a product with specific odor; calculating an emotional experience index value of the tested product in the odor experience process based on the first electroencephalogram data; taking the value of each electrode of an alpha wave band in the first electroencephalogram data as awakening data, and calculating an awakening value of the tested product in the odor experience process based on the awakening data; and evaluating the emotional experience brought by the product smell based on the emotional experience index value and the arousal value to obtain a first evaluation result. The invention combines the electroencephalogram technology to directly measure the olfactory sensory experience of the product with specific odor for the consumer in the odor experience process of the product, so that the test result is more accurate.
Description
Technical Field
The invention relates to the technical field of neuroscience, in particular to a method and a system for olfactory sensation evaluation.
Background
In order to promote products better, product manufacturers often promote the products from the perspective of attracting users. Taking perfume as an example, before publicity, manufacturers often conduct user experience investigation so as to evaluate product experience of users, and thus better develop, upgrade and publicize products. The previous research on the smell of the product only stays on the pleasure of the user on the product package and the pleasure of the taste, but does not go on in-depth research, for example, whether the emotional experience brought by the products with different smells to the user is the same or not, what the emotional change of the user is after using the product with specific smell. The olfactory function is receiving more and more attention at present, the olfactory assessment methods in the prior art are many, but a comprehensive and objective method does not exist so far, the original olfactory sensory experience is mainly based on an expert report mode, the limitation is strong, the result is subjective, the scoring mode is difficult to reflect the influence of a consumer on the integrity of product experience in an experience link, and the subjective experience mode is difficult to reflect the real experience of the consumer. This also indirectly leads to that the producer can't carry out targeted product upgrade and product propaganda to customer's experience impression to lead to the upgrading of product, propaganda effect is restricted.
How to objectively, directly and continuously evaluate the olfactory sensory experience of a product with specific smell brought to a consumer in the process of product smell experience is an urgent problem to be solved.
Disclosure of Invention
In view of the above, the embodiments of the present invention provide a method and a system for objectively and directly measuring the olfactory sensation brought to a consumer by a product with a specific odor during the product odor experience process through an electroencephalogram technology, so as to eliminate or improve one or more defects in the prior art.
In one aspect of the present invention, there is provided a sensory evaluation method for smell, the method comprising the steps of:
receiving electroencephalogram signals acquired by electroencephalogram equipment and tested in a product odor experience process to obtain first electroencephalogram data changing along with time, wherein the product odor experience process is an experience process of a product with specific odor;
calculating an emotional experience index value of the tested product in the odor experience process based on the first electroencephalogram data;
taking the value of each electrode of an alpha wave band in the first electroencephalogram data as awakening data, and calculating an awakening value of the tested product in the odor experience process based on the awakening data;
and evaluating the emotional experience brought by the product smell based on the emotional experience index value and the arousal value to obtain a first evaluation result.
Optionally, in a case that the product smell experiencing process is a process of experiencing a plurality of products having a specific smell, the method further comprises:
the plurality of testees obtain a plurality of first evaluation results in the product smell experience process, and a second evaluation result carrying specific smell to the emotion change information of the testees is obtained based on the statistical analysis of the plurality of first evaluation results.
Optionally, the number of times of experiencing each product with a specific smell is multiple times in the product smell experiencing process so as to ensure the accuracy of obtaining data.
Optionally, before performing the product scent experience process, presenting to the subject an inducing information to induce the subject's mood, the inducing information in the form of one or more of: text, pictures, and video.
Optionally, the calculating an emotional experience index value of the subject in the product smell experience process based on the electroencephalogram data includes:
calculating the emotional experience index value after the tested smells of various smells by taking the emotion of the tested browsing the induced information as a base line, wherein the method comprises the following steps: in an alpha wave band, subtracting the energy average value of the plurality of electrodes on the left side of the electroencephalogram equipment from the energy average value of the plurality of electrodes on the right side of the electroencephalogram equipment to obtain the emotional experience index value, wherein the plurality of electrodes on the right side of the electroencephalogram equipment comprise one or more of the following: f2, F4, F6, F8, FC2, FC4, FC6, FT8, the left plurality of electrodes of the brain electrical device comprising one or more of: f1, F3, F5, F7, FC1, FC3, FC5, FT 7.
Optionally, the method further comprises: after a tested object is tested for one product taste, presenting one or more vocabularies related to the tested object and the smell, and acquiring an electroencephalogram signal tested in the process by using an electroencephalogram device to obtain second electroencephalogram data changing along with time; calculating the value of a component N400 related to semantic processing based on the second electroencephalogram data to obtain the matching degree of the vocabulary and the tested odor; and obtaining a matching evaluation result between the tested odor and the vocabulary based on the matching degree.
Optionally, a product upgrade suggestion is generated based on the first evaluation result and/or the second evaluation result.
Optionally, the method further comprises: preprocessing is carried out on the electroencephalogram data, wherein the preprocessing comprises 0.5Hz high-pass filtering processing, data fluctuation caused by overlarge movement of a tested object is deleted, and artifact data caused by electro-oculogram, myoelectricity, electrocardio, dead pixels and 50Hz noise is deleted.
In another aspect of the present invention, there is also provided an olfactory sensory evaluation system, which includes a processor and a memory, the memory having stored therein computer instructions, the processor being configured to execute the computer instructions stored in the memory, and the system implementing the steps of the method as described above when the computer instructions are executed by the processor.
In another aspect of the present invention, a computer-readable storage medium is also provided, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of the method as set forth above.
According to the olfactory sensory evaluation method and system provided by the embodiment of the invention, a consumer wears the electroencephalogram equipment to objectively measure the olfactory sensory experience effect of a product with a specific odor to the consumer, so that olfactory test and sensory experience are carried out, the overall olfactory preference is evaluated by collecting electroencephalogram data, and the olfactory sensory of the product with the specific odor to the consumer is evaluated by combining the association of the current odor to the consumer. The evaluation method of the invention enables the measured result to be more objective and direct, compared with the traditional post scoring method, the method has the characteristics of real-time monitoring and continuity, and can find the vocabulary which is most consistent with the specific smell through the electroencephalogram data, thereby helping publicity and upgrading of the product and the smell of the product.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
It will be appreciated by those skilled in the art that the objects and advantages that can be achieved with the present invention are not limited to the specific details set forth above, and that these and other objects that can be achieved with the present invention will be more clearly understood from the detailed description that follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the invention. For purposes of illustrating and describing some portions of the present invention, corresponding parts of the drawings may be exaggerated, i.e., may be larger, relative to other components in an exemplary apparatus actually manufactured according to the present invention. In the drawings:
fig. 1 is a schematic flow chart of a sensory olfactory evaluation method according to an embodiment of the present invention.
FIG. 2 is a schematic diagram of the distribution of electrodes on the head of a conventional electroencephalogram device;
FIG. 3 is a flow chart illustrating a method for matching scent with a specific vocabulary during a scent experience of a product according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating the experience of two products with specific scents according to an embodiment of the present invention;
FIG. 5 is a graphical illustration of the change in mood after a scent experience of a product being tested in accordance with an embodiment of the present invention;
FIG. 6 is a diagram illustrating the degree of matching between the smell B and words in an embodiment of the present invention;
FIG. 7 is a diagram illustrating the degree of matching between the odor A and a plurality of words according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
It should be noted that, in order to avoid obscuring the present invention with unnecessary details, only the structures and/or processing steps closely related to the scheme according to the present invention are shown in the drawings, and other details not so relevant to the present invention are omitted.
It should be emphasized that the term "comprises/comprising" when used herein, is taken to specify the presence of stated features, elements, steps or components, but does not preclude the presence or addition of one or more other features, elements, steps or components.
It is also noted herein that the term "coupled," if not specifically stated, may refer herein to not only a direct connection, but also an indirect connection in which an intermediate is present.
In order to solve the problem that an olfactory sensory evaluation method in the prior art is subjective and incomplete, electroencephalogram data are introduced into an olfactory sensory evaluation system, so that the olfactory sensory evaluation method and system are provided. And the vocabulary which is most consistent with the smell is found through the electroencephalogram data, so that the olfactory experience assessment of the product is more comprehensive, real-time, continuous, objective, accurate and targeted.
Fig. 1 is a schematic flow chart of a sensory evaluation method for smell according to an embodiment of the present invention, as shown in fig. 1, the method of the present embodiment includes the following steps:
step S110, receiving electroencephalogram signals collected by electroencephalogram equipment and tested in a product odor experience process to obtain first electroencephalogram data changing along with time, wherein the product odor experience process is an experience process of a product with specific odor.
In the step, electroencephalogram equipment is adopted to monitor electroencephalogram signals of a plurality of tested products in the odor experience process, and electroencephalogram data of the plurality of tested products in the odor experience process are obtained through the electroencephalogram equipment. The Electroencephalogram data is electroencephalograms (EEG), which can record the electrical wave changes during brain activities, and is the overall reflection of the electrophysiological activities of the brain nerve cells on the surface of the cerebral cortex or scalp. When the emotion of the user changes, the brain waves change correspondingly, so that the emotion of the user can be recognized through the brain waves. With the development of artificial intelligence, brain wave-based emotion recognition technology has been rapidly developed.
Electroencephalogram signals (EEG) can be recorded by adopting 64-channel easy cap electroencephalogram acquisition equipment (such as an electrode cap) expanded by an international 10-20 system. Fig. 2 is a schematic diagram showing the distribution of electrodes on the head when the EEG equipment realizes EEG signal monitoring. In the embodiment of the invention, the sampling frequency of the electroencephalogram equipment can be 500Hz, the scalp resistance can be regulated to be below 5k omega, the grounding electrode is AFz, and the reference electrode is FCz. During the process of testing products, the electroencephalogram equipment can be used for obtaining electroencephalogram data of electroencephalogram waves changing along with time.
The product odor experience process is an experience process of a product with specific odor, the experience process of the product odor can be an experience process of a product with specific odor, and can also be an experience process of a plurality of products with specific odor, the electroencephalogram equipment can monitor the electroencephalogram tested in the whole product odor experience process, and therefore electroencephalogram data recording the whole product odor experience process are generated and recorded as first electroencephalogram data.
And step S120, calculating an emotional experience index value in the product odor experience process based on the first electroencephalogram data.
And calculating an emotional experience index value in the odor experience process of the product to be tested based on the first electroencephalogram data obtained in the step S110. Different products with specific smells are likely to have different emotional experience index values for different subjects, even the subjects who have the same product with specific smell may have positive emotions and some may have negative emotions, so in one embodiment, in order to show the accuracy of the emotional experience given by the products with specific smells to the subjects, the emotional experience given by the products with specific smells as the results of the emotional experiences is taken as the emotional experience.
Based on the existing frontal asymmetry theory (frontal asymmetry theory), the asymmetry activation of the tested frontal lobe alpha wave band can reflect the tested indicators such as motivation, emotion and the like, so that the asymmetry indicator of the frontal lobe alpha wave band can be used for evaluating the real-time emotional experience of the consumer. Therefore, the emotional experience index of the tested product in the odor experience process can be calculated in the following mode in the embodiment of the invention: subtracting the energy average value (alpha wave 8-13Hz) of the plurality of electrodes on the left side of the electroencephalogram equipment to the energy average value of the plurality of electrodes on the right side of the electroencephalogram equipment to obtain the emotional experience index value, wherein the plurality of electrodes on the right side of the electroencephalogram equipment comprise one or more of the following: f2, F4, F6, F8, FC2, FC4, FC6, FT8, the left plurality of electrodes of the brain electrical device comprising one or more of: f1, F3, F5, F7, FC1, FC3, FC5, FT 7. In the embodiment of the invention, the energy average value (alpha wave 8-13Hz) of the 8 electrodes on the right side of the tested electroencephalogram equipment is used for subtracting the energy average value of the 8 electrodes on the left side of the tested electroencephalogram equipment, and finally the emotional experience index value of the tested (consumer) is obtained. The emotional experience obtained includes: positive emotional experience, negative emotional experience, and neutral emotional experience. Specifically, the emotional experience data may be converted to a percentage form, where 45% -55% of the data at the location is defined as a neutral emotional experience, greater than 55% is defined as a positive emotional experience, and less than 45% is defined as a negative emotional experience. The specific method for obtaining emotional experience based on electroencephalogram data can be realized by adopting the prior art, and is not described herein again.
In addition, because the electroencephalogram signal is a weak signal which is not stable immediately, noise signals such as electrocardio, myoelectricity, electrooculogram and the like can be mixed in the acquisition process. The elimination of electroencephalogram artifacts to obtain real and effective electroencephalogram data is the first step of research. Therefore, before calculating the emotional experience index value, the first electroencephalogram data may be preprocessed, and the preprocessing may include: filtering; the data fluctuation caused by the overlarge action of the tested object is deleted by manual visual inspection. Specifically, the high-pass filtering is 0.5 Hz; and removing artifact components (ICA) such as electrooculogram, myoelectricity, electrocardio, dead pixel and 50Hz noise.
In another embodiment of the invention, before the subject is subjected to the product odor experience process, the subject is presented with inducing information to induce the subject's emotion, wherein the inducing information comprises one or more of the following forms: the invention also discloses a method for calculating the emotional experience index value of the product in the odor experience process by adopting other inducing modes such as music induction, imagination induction and the like according to the actual situation.
Step S130, taking the value of each electrode of an alpha wave band in the first electroencephalogram data as awakening data, and calculating the awakening value of the tested product in the odor experience process based on the awakening data.
The first electroencephalogram data comprises electrode energy values under all wave bands (alpha, beta, theta and delta), the values of all electrodes of the alpha wave bands in the electroencephalogram data are used as awakening data, an alpha wave is a low-amplitude synchronous wave and is a main waveform recorded by a rhythm under a waking and resting state, and the rhythm is generally considered to be related to brain preparation activity. And calculating the awakening degree value of the tested product in the odor experience process based on the acquired awakening data. Arousal refers, physiologically and psychologically, to a state of being aroused or organoleptically stimulated by sensory stimuli. Specifically, the frequency band energy value of the alpha wave is calculated, and the higher the frequency band energy value of the alpha wave obtained through calculation is, the lower the wakening degree is, and the higher the activation degree of the alpha wave is correspondingly explained; the smaller the frequency band energy value of the alpha wave obtained by calculation is, the higher the awakening degree of the alpha wave is, and the lower the activation degree of the alpha wave is correspondingly explained.
Prior to calculating the wake up value, the wake up data may be preprocessed, which may include: filtering; manually deleting data fluctuation caused by overlarge tested action by visual inspection; the artifact components are deleted. Since these processes have been described in detail above, they will not be described in detail here.
In the step, a value of alpha wave frequency band energy is extracted from the first electroencephalogram data and is used as awakening data, and an awakening value of the tested product in the odor experience process is calculated based on the awakening data.
And step S140, evaluating the emotional experience brought by the product smell based on the emotional experience index value and the arousal value to obtain a first evaluation result.
The overall emotional experience of the subject brought by the product smell is evaluated based on the emotional experience index value obtained in step S120 and the arousal value obtained in step S130. Specifically, the emotional experience and arousal degree of the same smell for the testee can be comprehensively contrastively analyzed so as to evaluate the overall emotion of the testee in the smell experience process, and the obtained evaluation result is recorded as a first evaluation result. For example, taking the test of the smell A with jasmine smell as an example, the smell A brings positive emotional experience to most of the test subjects, meanwhile, the arousal degree is low through calculation, and the smell A brings comfortable and pleasant feeling to the test subjects through comprehensive analysis. In the embodiment of the invention, the first evaluation result carries the emotional experience and the arousal degree of the tested product smell in the process of experiencing the product smell. Based on the first evaluation result, the odor of the product can be improved in a targeted manner, so that a better emotional experience is brought to the consumer or the expected activation degree is obtained by improving the upgrade, and the buyback rate of the product is further improved for the consumer.
According to the olfactory sensory evaluation method provided by the embodiment of the invention, the emotional experience index value in the product odor experience process is calculated through EEG data acquired by brain-moving equipment; taking the energy value of each electrode in the alpha wave band in the first electroencephalogram data as awakening data, and calculating an awakening value of the tested product in the odor experience process based on the awakening data; the method comprises the steps of integrally evaluating emotional experience brought by product odor based on the emotional experience index value and the arousal value to obtain a first evaluation result so as to evaluate olfactory sensory experience brought to a tested object by a product with specific odor, so that the olfactory sensory experience evaluation method brought to the tested object by the product with specific odor has the characteristics of being more comprehensive, more real-time, more continuous, more objective, more accurate and more targeted.
In another embodiment of the present invention, in case that the product scent experience process is an experience process for a plurality of products having a specific scent, the method further comprises: the plurality of testees obtain a plurality of first evaluation results in the product odor experience process, and a second evaluation result carrying specific odor to the emotion change information brought by the testees is obtained based on the statistical analysis of the plurality of first evaluation results.
In the case that the product scent experience process includes experience processes for a plurality of products with specific scents, since a first evaluation result for each product with specific scents is obtained in each product scent experience process, the plurality of product scent experience processes obtain a plurality of first evaluation results, and the plurality of first evaluation results are subjected to statistical analysis, for example, the emotional experience index value and the arousal value for each product with specific scents, which are tested in the product scent experience process, can be analyzed through a chart form comparison, wherein the horizontal axis of the chart represents the emotional experience results, and the vertical axis represents the arousal degree results, and if the product with specific scents brings positive emotional experiences to the tested product but the arousal degree is higher, the product brings excitement to the tested product (first quadrant); if the product brings a negative emotional experience to the subject, but the arousal level is high, the product brings frustration to the subject (second quadrant); if the product brings negative emotional experience to the tested person, but the arousal degree of the product is low, the product brings boring feeling to the tested person (third quadrant); if the product gives the test a positive emotional experience, but its arousal is low, then the product gives the test a pleasure (fourth quadrant); the different overall emotional results of the tested products with specific smells are more visually represented by the distribution of the product smell experience results in four quadrants, but this is only taken as an example, the invention is not limited to this, and the comparative analysis can also be performed by other ways. And performing statistical analysis on the plurality of first evaluation results based on the distribution diagram to obtain a second evaluation result of the emotion change information which is brought to the tested object by carrying a specific smell. For example, by calculating the odor A containing jasmine odor [ HK1] and the odor B containing cherry blossom odor to the emotional experience and arousal degree of the tested people and plotting the data in a distribution graph, as shown in FIG. 4, it can be concluded that the odor A brings positive emotional experience to most of the tested people, and simultaneously, the arousal degree is low, and the comfortable and pleasant feeling is brought to the consumers. But odor B did not give the test a significant emotional change.
And generating a product upgrading suggestion based on the first evaluation result and/or the second evaluation result of the emotion change information which is tested and brought by carrying the specific smell.
Based on the above steps, the first evaluation result and the second evaluation result obtained as above respectively represent the evaluation result of the emotional experience caused by the product odor and the product odor obtained in the experience process of a product with a specific odor, and the evaluation result of the relationship between the emotional experience caused by different product odors and the product odor obtained by the comparative analysis in the experience process of products with different specific odors. Based on the first evaluation result and/or the second evaluation result, a targeted product upgrade suggestion can be generated.
In another embodiment of the invention, whether a product with a specific odor or a plurality of products with specific odors is experienced in the product odor experience process, the number of experiences for each product with a specific odor is multiple, so as to ensure the accuracy of data acquisition.
In another embodiment of the present invention, the method further includes matching the scent with the specific vocabulary, fig. 3 is a flowchart illustrating a method for matching the scent with the specific vocabulary in the scent experience process of the product according to an embodiment of the present invention, as shown in fig. 3, including the following steps:
step S201: after the taste of a product is tested, one or more vocabularies related to the smell are presented to the tested person, and electroencephalogram equipment is used for collecting an electroencephalogram signal tested in the process to obtain second electroencephalogram data changing along with time.
After the tested product with specific smell is tested, one or more vocabularies which are related to the tested smell are presented, the presentation mode can be through a screen, and other modes can be adopted according to specific situations, and the invention is not limited to the method. In the product odor experience process, each vocabulary of each tested product is tested for multiple times so as to ensure the accuracy of the obtained data. The electroencephalogram equipment is adopted to monitor the electroencephalogram signals of the tested person in the process, a plurality of electroencephalogram data which change along with time in the experience process of the tested person are obtained, and the electroencephalogram data are recorded as second electroencephalogram data. Specifically, an electroencephalogram (EEG) can also be recorded by adopting a 64-channel easy cap electroencephalogram acquisition device (such as an electrode cap) expanded by the international 10-20 system. Since the specific operation of the electroencephalogram device has been described in detail above, it is not described herein again.
For example, a tested body wash with smell A can be experienced, four words of 'relaxing', 'healing', 'feeling of intimacy' and 'worry' are presented on a screen after the experience, and electroencephalogram data tested in the process of presenting different words are collected through electroencephalogram equipment. This is by way of example only, and the invention is not limited thereto, and products with different smells may be experienced on a case-by-case basis and provided with a vocabulary of stimuli relating to the smells for testing.
Step S202: and calculating the value of a component N400 related to semantic processing based on the second electroencephalogram data to obtain the matching degree of the vocabulary and the tested odor.
And calculating the ERP potential value in the process of the tested brain based on the second brain electrical data, wherein the ERP is a special evoked potential, and refers to a specific potential change generated in a specific area of the brain in a short time when some specific stimuli are given or withdrawn. In the present embodiment, the given specific stimulus is a word related to an odor, so the calculation of the ERP potential value is the calculation of the value of N400, which is a component related to semantic processing in brain waves, that is, the change of brain waves generated at 400ms after receiving the stimulus material (the word related to the odor). The more negative the calculated value of N400, the more inconsistent the subject's perception is with the administered stimulation material; the more positive the calculated value of N400, the more consistent the subject's perception is with the stimulus material administered. Therefore, based on the calculated value of N400, the matching degree of the vocabulary and the tested odor can be obtained.
For example, the matching degrees of the four words "relax", "cure", "intimate feeling" and "worry" corresponding to the odor a are calculated as follows: 0.5, 1.2, 0.8 and 1.0.
Step S203: and obtaining a matching evaluation result between the tested odor and the vocabulary based on the matching degree.
Based on the matching degree of each vocabulary and the tested odor obtained in step S202, the matching evaluation result between the tested odor and the vocabulary can be obtained, so as to obtain the vocabulary which is best matched with the odor, and thus the product odor can be better publicized. For example, based on the matching degree value obtained in step S202, a matching evaluation result of the scent a with each vocabulary may be obtained, the matching evaluation result being: the odor A has the highest matching degree with the vocabulary of 'healing', the second is the vocabulary of 'intimacy', and the matching degree with the vocabulary of 'worrying' and 'relaxing' is the lowest.
In addition, before the matching degree of the vocabulary and the tested odor is calculated, the second electroencephalogram data can be subjected to filtering processing and artifact component deleting processing, and the processing is described in detail in the foregoing, so that the details are not repeated.
The method comprises the steps that a tested object is subjected to olfaction test and sensory experience by wearing electroencephalogram equipment, corresponding stimulating words are provided for the tested object, electroencephalogram data of the tested object in the process are collected, an electroencephalogram change value generated after the tested object receives the stimulating words is calculated based on the electroencephalogram data, and the matching degree between the stimulating words and the tested object odor is evaluated based on the obtained electroencephalogram change value, so that a matching evaluation result between the tested object odor and the words is obtained. The method can evaluate the overall olfactory favor of the testee, and combines the current smell with the association of the testee, thereby carrying out overall olfactory sensory evaluation.
The olfactory sensory evaluation method provided by the embodiment of the invention is based on the steps of the method, and calculates the emotional experience index value of the tested product in the scent experience process by combining the EEG data collected by the brain-moving equipment; taking the value of each electrode in the alpha wave band in the first electroencephalogram data as awakening data, and calculating an awakening value of the tested product in the odor experience process based on the awakening data; and evaluating the emotional experience brought by the product odor based on the emotional experience index value and the arousal value to obtain a first evaluation result so as to evaluate the olfactory sensory experience brought to the consumer by the product with specific odor, so that the evaluation of the olfactory sensory experience of the embodiment of the invention is more comprehensive, more real-time, more continuous, more objective, more accurate and more targeted. According to the embodiment of the invention, the olfactory sensory experience effect of the product on consumers is objectively measured through an electroencephalogram technology. Specifically, the method comprises the steps of recruiting consumers, wearing equipment to perform smell test, performing sensory experience, collecting electroencephalogram data of the consumers, evaluating the overall smell preference degree, and performing overall sensory evaluation by combining the association of the current smell to the consumers. The evaluation result obtained by the olfactory sensory evaluation method provided by the embodiment of the invention is more objective and more direct, and compared with the post scoring of the traditional experience evaluation method, the method has the advantages of more real-time, more continuous and more accurate effect.
The olfactory sensory evaluation method of the embodiment of the present invention will be described below by taking as an example the olfactory sensory experience after smelling the body wash of smell a and the body wash of smell B.
First, subjects meeting the requirements, e.g., individuals of a particular age and/or gender, are recruited. After the subjects are enrolled, informed consent and privacy protocols can be signed with the subjects and pre-experimental preparations such as shampooing (to clean dead skin, reduce resistance, facilitate data collection), wearing electroencephalographic equipment (scrub and conductive paste can be used to further reduce head resistance to below 5k Ω prior to wearing) and calibration can be performed.
After the calibration is completed, the data generated in the odor experience process of the product to be tested can be collected. The test subject can sit on a comfortable chair, look at the cross of the screen for 60 seconds as a baseline, then present a negative video clip to induce the test subject's negative mood, then ask the test subject to smell a product scent, and take a second product scent test after a period of rest. The electroencephalograph device records the entire process during the course of the odor experience being tested. The EEG data can record EEG signals by using easy cap64 channel EEG acquisition equipment, the sampling rate is 500Hz, the grounding electrode is AFz, and the reference electrode is FCz.
The emotion index can be obtained based on the electroencephalogram data in the following way:
(1) data pre-processing
The data preprocessing may include: high-pass filtering at 0.5 Hz; manually carrying out visual inspection and deleting data fluctuation caused by overlarge tested action; and removing artifact components (ICA) such as electrooculogram, myoelectricity, electrocardio, dead pixel and 50Hz noise.
(2) Turning to reference: the average of the two electrodes TP9, TP10 was calculated and subtracted from each brain electrical channel. TP9 and TP10 electrodes were located at bilateral papillary sites, one of the commonly used reference sites in EEG acquisitions.
(3) Calculating an emotional experience index: and subtracting the energy average value (alpha wave 8-13Hz) of the 8 electrodes (F1, F3, F5, F7, FC1, FC3, FC5 and FT7) on the left side of the electroencephalogram equipment from the energy average value (alpha wave 8-13Hz) of the 8 electrodes (F2, F4, F6, F8, FC2, FC4, FC6 and FT8) on the right side of the electroencephalogram equipment, and finally obtaining the emotional experience of the consumer. If the emotional experience data is converted to a percentage form, 45% -55% of the location data is defined as a neutral emotional experience, greater than 55% of the data is defined as a positive emotional experience, and less than 45% of the data is defined as a negative emotional experience.
(4) Calculating the awakening degree: and (4) calculating the awakening degree of the alpha wave (8-13Hz), namely calculating the energy average value of each electrode in the alpha wave band. The wakefulness of the alpha wave is inversely proportional to the activation degree of the alpha wave, namely the higher the energy value of the frequency band of the alpha wave, the lower the wakefulness level of the alpha wave is, and the higher the corresponding activation degree of the alpha wave is; the smaller the energy value of the alpha wave frequency band, the higher the awakening degree level of the alpha wave, and the lower the corresponding activation degree of the alpha wave.
Fig. 4 is a diagram illustrating the experience results of two products with specific odors according to an embodiment of the present invention, and it can be seen from fig. 4 that odor a provides a positive emotional experience to most consumers, and the arousal level is low, which provides a pleasant feeling to consumers (fourth quadrant). But odor B did not cause noticeable emotional changes to the consumer.
Taking the emotion of a consumer browsing a sad video as a baseline, calculating the emotional experience index value after the consumer smells two types of smells, fig. 5 is a schematic diagram of the emotional change after the odor experience of a tested product in the embodiment of the invention, and as can be seen from fig. 5, the emotional experience of most consumers is improved after smelling the odor a, but the odor B does not improve the negative emotion of most tested products. It can be concluded that odor a is superior to odor B in healing capacity.
In conclusion, the emotion of the tested person who browses the sad video is taken as a base line, the emotion experience index value is increased after the tested person smells the smell A, and the smell A is superior to the smell B in healing capacity.
In addition, the process of matching odors with the relevant vocabulary ERP was tested. The method specifically comprises the following steps: the subject can sit on a comfortable chair with the screen first presenting a cross for 2s, then please be asked to smell the scent of the 3s product, then presenting a cross for 2s on the screen, and then the screen displaying the vocabulary associated with the scent. Specifically, during the test of the odor a, four words of cure, familiarity, apprehension, and relaxation are presented for the test; during the period of the tested body being tested for the smell B, the tested body is presented with four words of heart, first love, sweet and worries. Each tested product is tested for 40 times in each vocabulary, so that the test result is comprehensive, objective and accurate. The electroencephalograph device records the entire process during the product odor experience. The EEG data can record EEG signals by using easy cap64 channel EEG acquisition equipment, the sampling rate is 500Hz, the grounding electrode is AFz, and the reference electrode is FCz.
The ERP calculation value can be obtained based on the electroencephalogram data in the following mode:
(1) data pre-processing
The data preprocessing may include: and (3) filtering treatment: the high-pass filtering is 0.5 Hz; manually deleting data fluctuation caused by overlarge tested action by visual inspection; and removing artifact components (ICA) such as electrooculogram, myoelectricity, electrocardio, dead pixel and 50Hz noise.
(2) Turning to reference: the average of the two electrodes TP9, TP10 was calculated and subtracted from each brain electrical channel.
(3) ERP calculation: and (3) calculating the change value of the full-wave-band energy value of each electrode along with time, namely calculating the value of N400 after stimulation is received, and obtaining the matching degree between each vocabulary and the experienced smell based on the calculated value of N400.
Fig. 6 is a schematic diagram of the matching degree between the odor B and the words in the embodiment of the present invention, and fig. 7 is a schematic diagram of the matching degree between the odor a and the words in the embodiment of the present invention, and it can be seen from fig. 6 and 7 that the odor B has the highest matching degree with the two stimulation words of sweet and hypochondriac, and the lowest matching degree with the two stimulation words of heart and first love. Odor a matches the stimulus vocabulary most closely, followed by intimacy, and least closely with the two stimuli vocabulary of anxiety and relaxation. Based on the matching degree between each obtained vocabulary and the tested smell, the product with specific smell can be better publicized.
According to the invention, the electroencephalogram data are used in the process of measuring the olfactory sensory experience brought to the consumer by the product, and the sensory experience of the sense of the human is finally reflected in the information processing center of the brain, so that the olfactory sensory experience brought to the consumer by the smell of the product in the process of experiencing the smell of the product by the consumer can be objectively measured by the electroencephalogram equipment. According to the method, the process that the consumer experiences the product odor without being disturbed is monitored by wearing the electroencephalogram equipment, and the olfactory experience of the product with different odors to the consumer is analyzed, so that the measurement result has the advantage of being more objective and more direct, and therefore compared with a traditional after-the-fact scoring method, the method is more real-time, more continuous and more accurate.
In accordance with the above olfactory sensory evaluation method, the present invention also provides an olfactory sensory evaluation system, which comprises a processor and a memory, wherein the memory stores computer instructions, the processor executes the computer instructions stored in the memory, and the system realizes the steps of the method when the computer instructions are executed by the processor
The present invention also relates to a storage medium on which computer program code may be stored, which when executed may implement various embodiments of the method of the present invention, and which may be a tangible storage medium such as an optical disk, a Random Access Memory (RAM), a memory, a Read Only Memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.
Those of ordinary skill in the art will appreciate that the various illustrative components, systems, and methods described in connection with the embodiments disclosed herein may be implemented as hardware, software, or combinations of both. Whether this is done in hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Features that are described and/or illustrated with respect to one embodiment may be used in the same way or in a similar way in one or more other embodiments and/or in combination with or instead of the features of the other embodiments in the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. A sensory evaluation method of olfaction, comprising the steps of:
receiving electroencephalogram signals acquired by electroencephalogram equipment and tested in a product odor experience process to obtain first electroencephalogram data changing along with time, wherein the product odor experience process is an experience process of a product with specific odor;
calculating an emotional experience index value in the odor experience process of the product to be tested based on alpha band data in the first electroencephalogram data, wherein the emotional experience index value is an index value representing positive emotional experience, neutral emotional experience or negative emotional experience;
taking the value of each electrode of an alpha wave band in the first electroencephalogram data as awakening data, and calculating an awakening value of the tested product in the odor experience process based on the awakening data;
evaluating the emotional experience brought by the smell of the product based on the emotional experience index value and the arousal value to obtain a first evaluation result, wherein the first evaluation result carries the emotional experience index value and the arousal value;
in the case where the product scent experience process is an experience process for a plurality of products having a specific scent, the method further comprises:
a plurality of testees obtain a plurality of first evaluation results in the product odor experience process, and a second evaluation result carrying specific odor to the emotion change information brought by the testees is obtained based on the statistical analysis of the plurality of first evaluation results and the emotional experience index value and the arousal value carried in the first evaluation results;
generating a product upgrading suggestion based on the first evaluation result and/or the second evaluation result;
the method further comprises the following steps: matching the smell with a specific vocabulary based on the electroencephalogram data, wherein the step of matching the smell with the specific vocabulary comprises the following steps:
after a tested object is tested for one product taste, presenting one or more vocabularies related to the tested object and the smell, and acquiring an electroencephalogram signal tested in the process by using an electroencephalogram device to obtain second electroencephalogram data changing along with time;
calculating the value of a component N400 related to semantic processing based on the second electroencephalogram data to obtain the matching degree of the vocabulary and the tested odor;
and obtaining a matching evaluation result between the tested odor and the vocabulary based on the matching degree.
2. The method of claim 1, wherein the number of experiences for each product with a specific scent is multiple during the product scent experience to ensure the accuracy of the obtained data.
3. The method of claim 2,
presenting to the subject, prior to performing the product scent experience process, an inducement message to induce the subject's mood, the inducement message in a form including one or more of: text, pictures, and video.
4. The method of claim 3, wherein said calculating an emotional experience metric value of the subject during the product scent experience based on the brain electrical data comprises:
calculating the emotional experience index value after the tested smells of various smells by taking the emotion of the tested browsing the induced information as a base line, wherein the method comprises the following steps: in an alpha wave band, subtracting the energy average value of the plurality of electrodes on the left side of the electroencephalogram equipment from the energy average value of the plurality of electrodes on the right side of the electroencephalogram equipment to obtain the emotional experience index value, wherein the plurality of electrodes on the right side of the electroencephalogram equipment comprise one or more of the following: f2, F4, F6, F8, FC2, FC4, FC6, FT8, the left plurality of electrodes of the brain electrical device comprising one or more of: f1, F3, F5, F7, FC1, FC3, FC5, FT 7.
5. The method of claim 1, further comprising:
preprocessing is carried out on the electroencephalogram data, wherein the preprocessing comprises 0.5Hz high-pass filtering processing, data fluctuation caused by overlarge movement of a tested object is deleted, and artifact data caused by electro-oculogram, myoelectricity, electrocardio, dead pixels and 50Hz noise is deleted.
6. An olfactory sensory evaluation system comprising a processor and a memory, wherein the memory has stored therein computer instructions for executing the computer instructions stored in the memory, the system implementing the steps of the method of any one of claims 1 to 5 when the computer instructions are executed by the processor.
7. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011432942.9A CN112493998B (en) | 2020-12-09 | 2020-12-09 | Olfactory sensory evaluation method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011432942.9A CN112493998B (en) | 2020-12-09 | 2020-12-09 | Olfactory sensory evaluation method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112493998A CN112493998A (en) | 2021-03-16 |
| CN112493998B true CN112493998B (en) | 2021-12-21 |
Family
ID=74971803
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011432942.9A Active CN112493998B (en) | 2020-12-09 | 2020-12-09 | Olfactory sensory evaluation method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112493998B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115063188B (en) * | 2022-08-18 | 2022-12-13 | 中国食品发酵工业研究院有限公司 | Intelligent consumer preference index evaluation method based on electroencephalogram signals |
| CN117122320A (en) * | 2022-12-14 | 2023-11-28 | 广州数化智甄科技有限公司 | Emotion data benchmarking method and device and computer readable storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009052833A1 (en) * | 2007-10-23 | 2009-04-30 | Mindmetic Ltd. | Method, system and computer program for automated interpretation of measurements in response to stimuli |
| CN108523885A (en) * | 2018-04-25 | 2018-09-14 | 中国人民解放军第四军医大学 | The detection device of olfactory stimulation induced brain wave |
| CN108836325A (en) * | 2018-04-02 | 2018-11-20 | 东北电力大学 | A method of organoleptic substances classification is carried out based on smell brain wave and random forest |
| CN108836320A (en) * | 2018-04-02 | 2018-11-20 | 东北电力大学 | A method of organoleptic substances classification is carried out based on smell brain wave |
| CN109363671A (en) * | 2018-10-30 | 2019-02-22 | 中国人民解放军战略支援部队信息工程大学 | Construction method based on the SSVEP mood dynamic brain network merged with ERP |
| CN110087546A (en) * | 2016-12-21 | 2019-08-02 | 弗门尼舍有限公司 | For determining the fMRI method of the brain activation pattern of the feeling excited in response to smell |
| WO2019200021A1 (en) * | 2018-04-10 | 2019-10-17 | Koniku Inc. | Universal odor code systems and odor encoding devices |
| CN110433379A (en) * | 2019-08-09 | 2019-11-12 | 南京市儿童医院 | A kind of system comprising olfactory stimulation treatment autism of children |
| KR20190136539A (en) * | 2018-05-31 | 2019-12-10 | (주)아모레퍼시픽 | Selecting method of fragrance for creating sleeping atmosphere and selecting system of fragrance for creating sleeping atmosphere |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0868880A1 (en) * | 1997-04-04 | 1998-10-07 | Unilever Plc | Improvements in or relating to odour evaluation |
| JP2001174450A (en) * | 1999-12-21 | 2001-06-29 | Shiseido Co Ltd | Method for evaluating fragrance and fragrance evaluation question sheet |
| WO2010100567A2 (en) * | 2009-03-06 | 2010-09-10 | Imotions- Emotion Technology A/S | System and method for determining emotional response to olfactory stimuli |
| KR101630747B1 (en) * | 2014-10-31 | 2016-06-15 | 건국대학교 글로컬산학협력단 | Method and apparatus for estimating olfactory function |
| KR101637773B1 (en) * | 2014-12-11 | 2016-07-07 | 현대자동차주식회사 | Apparatus for judging sense of smell and method for the same |
| CN106843477A (en) * | 2017-01-06 | 2017-06-13 | 西安交通大学 | The echophotony assessment method and system of Multichannel fusion |
| JP7140138B2 (en) * | 2017-10-27 | 2022-09-21 | ソニーグループ株式会社 | Information processing device, information processing method, program, and information processing system |
| CN108542385A (en) * | 2018-04-02 | 2018-09-18 | 东北电力大学 | A method of carrying out sense organ flavor substance classification using smell brain wave |
| WO2019245451A1 (en) * | 2018-06-20 | 2019-12-26 | Agency For Science, Technology And Research | Sensing olfactory response to one or more scents |
| CN111682768A (en) * | 2020-06-04 | 2020-09-18 | 哈尔滨工业大学 | LCLCL high-order direct current converter based on stacked bridge and control method |
-
2020
- 2020-12-09 CN CN202011432942.9A patent/CN112493998B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009052833A1 (en) * | 2007-10-23 | 2009-04-30 | Mindmetic Ltd. | Method, system and computer program for automated interpretation of measurements in response to stimuli |
| CN110087546A (en) * | 2016-12-21 | 2019-08-02 | 弗门尼舍有限公司 | For determining the fMRI method of the brain activation pattern of the feeling excited in response to smell |
| CN108836325A (en) * | 2018-04-02 | 2018-11-20 | 东北电力大学 | A method of organoleptic substances classification is carried out based on smell brain wave and random forest |
| CN108836320A (en) * | 2018-04-02 | 2018-11-20 | 东北电力大学 | A method of organoleptic substances classification is carried out based on smell brain wave |
| WO2019200021A1 (en) * | 2018-04-10 | 2019-10-17 | Koniku Inc. | Universal odor code systems and odor encoding devices |
| CN108523885A (en) * | 2018-04-25 | 2018-09-14 | 中国人民解放军第四军医大学 | The detection device of olfactory stimulation induced brain wave |
| KR20190136539A (en) * | 2018-05-31 | 2019-12-10 | (주)아모레퍼시픽 | Selecting method of fragrance for creating sleeping atmosphere and selecting system of fragrance for creating sleeping atmosphere |
| CN109363671A (en) * | 2018-10-30 | 2019-02-22 | 中国人民解放军战略支援部队信息工程大学 | Construction method based on the SSVEP mood dynamic brain network merged with ERP |
| CN110433379A (en) * | 2019-08-09 | 2019-11-12 | 南京市儿童医院 | A kind of system comprising olfactory stimulation treatment autism of children |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112493998A (en) | 2021-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Sensitivity analysis of changes in human physiological indicators observed in soundscapes | |
| Balconi et al. | Arousal effect on emotional face comprehension: frequency band changes in different time intervals | |
| US7570991B2 (en) | Method for real time attitude assessment | |
| Greco et al. | Advances in Electrodermal activity processing with applications for mental health | |
| Hogervorst et al. | Combining and comparing EEG, peripheral physiology and eye-related measures for the assessment of mental workload | |
| Balconi et al. | Appetitive vs. defensive responses to emotional cues. Autonomic measures and brain oscillation modulation | |
| Kar et al. | Effect of sleep deprivation on functional connectivity of EEG channels | |
| JP2011041808A (en) | Analysis of mirror neuron system for evaluating stimulus | |
| CN112493998B (en) | Olfactory sensory evaluation method and system | |
| CN113143208B (en) | Pain sensitivity assessment system and method based on multidimensional measurement | |
| Gaikwad et al. | Novel approach for stress recognition using EEG signal by SVM classifier | |
| Jesulola et al. | The effects of gender and depression severity on the association between alpha asymmetry and depression across four brain regions | |
| KR20130050817A (en) | Depression diagnosis method using hrv based on neuro-fuzzy network | |
| NISA’MINHAD et al. | A design framework for human emotion recognition using electrocardiogram and skin conductance response signals | |
| Mehdizadehfar et al. | EEG study of facial emotion recognition in the fathers of autistic children | |
| LaCount et al. | Dynamic cardiovagal response to motion sickness: a point-process heart rate variability study | |
| CN112587136B (en) | Taste sensory evaluation method and system | |
| van Boxtel | Electromyographic (EMG) responses of facial muscles during language processing | |
| Teng et al. | A novel method based on combination of independent component analysis and ensemble empirical mode decomposition for removing electrooculogram artifacts from multichannel electroencephalogram signals | |
| Gabrielli et al. | Neurocoaching: exploring the relationship between coach and coachee by means of bioelectrical signal similarities | |
| Anwar et al. | Detecting meditation using a dry mono-electrode EEG sensor | |
| Manic et al. | Characterisation and separation of brainwave signals | |
| Qi | Algorithms benchmarking for removing EOG artifacts in brain computer interface | |
| Plechawska-Wójcik et al. | EEG spectral analysis of human cognitive workload study | |
| Bhuvaneswari et al. | A note on methods used for deception analysis and influence of thinking stimulus in deception detection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |