Method and device for evaluating function of fragrance, computer device and storage medium

Abstract

The present application relates to the field of perfume technology, and discloses a functional evaluation method and device for fragrance, computer equipment and storage medium. The method collects the test brain wave signal of the target object after using the to-be-tested fragrance, and the test brain wave signal includes frontal lobe area test signal and parietal lobe area test signal; determines the test fractal dimension according to the frontal lobe area test signal, and determines the fragrance preference parameter of the target object according to the test fractal dimension; obtains the test theta wave intensity according to the parietal lobe area test signal, and determines the fragrance relaxation parameter according to the test theta wave intensity; and determines the functional evaluation result corresponding to the to-be-tested fragrance according to the fragrance preference parameter and the fragrance relaxation parameter. The present application guarantees the timeliness and repeatability of the test, guarantees the effectiveness of the data, improves the objectivity and accuracy of the functional evaluation result, and helps to scientifically guide the development of fragrance products and the adjustment of fragrance formula.

Description

Technical Field

[0001] This invention relates to the field of fragrance technology, and in particular to a method, apparatus, computer equipment, and storage medium for evaluating the function of fragrances. Background Technology

[0002] Driver fatigue can lead to decreased driver attention, impaired judgment, pauses in operation, or delayed reactions, increasing the risk of road traffic accidents. To alleviate driver fatigue, many manufacturers have developed in-car fragrance products that can relieve driver fatigue by adding fragrance substances that stimulate the olfactory nerve (such as peppermint, citrus, tea tree, lavender, and pine) to their fragrance formulas.

[0003] To verify whether developed car fragrance products can alleviate driving fatigue, whether they are popular with consumers, and to guide product upgrades, existing evaluation methods rely on traditional questionnaire surveys and statistical analysis of the results. However, questionnaire surveys are often highly subjective and subject to delays, and poorly designed questions can distort the results, failing to guarantee the accuracy, timeliness, and repeatability of the evaluation. Therefore, the design of fragrance formulations lacks effective data support and sound scientific basis. Summary of the Invention

[0004] Therefore, it is necessary to provide a method, apparatus, computer equipment, and storage medium for evaluating the function of fragrances to address the aforementioned technical problems, thereby resolving the issues of poor accuracy, timeliness, and repeatability in existing fragrance function evaluations.

[0005] A method for evaluating the function of fragrances, including:

[0006] The test brainwave signals of the target subject after using the fragrance to be tested are collected, and the test brainwave signals include frontal lobe test signals and parietal lobe test signals;

[0007] The test fractal dimension is determined based on the test signal in the frontal lobe region, and the fragrance preference parameter of the target object is determined based on the test fractal dimension.

[0008] The test theta wave intensity is obtained based on the test signal of the apical lobe region, and the fragrance relaxation parameter is determined based on the test theta wave intensity.

[0009] The functional evaluation result corresponding to the fragrance to be tested is determined based on the fragrance preference parameter and the fragrance relaxation parameter.

[0010] A fragrance functional evaluation device, comprising:

[0011] The electroencephalogram (EEG) testing module is used to collect test EEG signals of the target subject after using the fragrance to be tested. The test EEG signals include frontal lobe region test signals and parietal lobe region test signals.

[0012] The preference determination module is used to determine the test fractal dimension based on the test signal of the frontal lobe region, and to determine the fragrance preference parameter of the target object based on the test fractal dimension.

[0013] The relaxation degree determination module is used to obtain the test theta wave intensity based on the test signal of the parietal lobe region, and to determine the fragrance relaxation degree parameter based on the test theta wave intensity.

[0014] The fragrance function evaluation module is used to determine the function evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance relaxation parameter.

[0015] A computer device includes a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor, when executing the computer-readable instructions, implements the above-described method for evaluating the function of a fragrance.

[0016] A computer-readable storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to perform the above-described fragrance function evaluation method.

[0017] In the aforementioned method, apparatus, computer equipment, and storage medium for evaluating the function of fragrances, this method utilizes specialized electroencephalogram (EEG) testing equipment to assist in evaluating the function of fragrances. By testing the EEG signals of subjects after using the fragrance to be tested, and based on the analysis of EEG signals from different regions, it intuitively reflects the subjects' preference for and relaxation indices of the fragrance to be tested. Combined with multiple objective indicators, the functional evaluation results of the fragrance to be tested are determined, and fragrance components and formulas with significant effects in relieving delayed fatigue are selected. This invention, based on the subjects' real EEG responses to fragrances, allows for intuitive and rapid functional evaluation of fragrances, ensuring the timeliness and repeatability of the test. Simultaneously, the objective indicator parameters ensure the validity of the data, improving the objectivity and accuracy of the functional evaluation results, and contributing to the scientific guidance of fragrance product development and fragrance formula adjustment. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a flowchart illustrating a method for evaluating the function of fragrance in one embodiment of the present invention;

[0020] Figure 2 This is a schematic diagram of the electrode test position in a fragrance function evaluation method according to an embodiment of the present invention;

[0021] Figure 3 This is a schematic diagram of the structure of a fragrance functional evaluation device according to an embodiment of the present invention;

[0022] Figure 4 This is a schematic diagram of a computer device according to an embodiment of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] In one embodiment, such as Figure 1 As shown, a method for evaluating the function of a fragrance is provided, including the following steps S10-S40:

[0025] S10. Collect test brainwave signals of the target subject after using the fragrance to be tested. The test brainwave signals include frontal lobe test signals and parietal lobe test signals.

[0026] Understandably, the target subjects refer to participants undergoing functional evaluation testing of fragrances and having their electroencephalogram (EEG) signals monitored. The fragrance to be tested is the fragrance sample for which functional evaluation is required. The tested EEG signals refer to the EEG signals observed in the participants after using the fragrance. Fragrances can influence neurotransmitters in the brain by stimulating the olfactory nerves, thereby altering the user's physiological and psychological state. Participants wear a head-mounted device with multiple electrode sensors to monitor their electroencephalogram (EEG) signals in real time before and after smelling the fragrance. EEG signals reflect the participants' neural activity and contain physiological, emotional, and cognitive information. By analyzing the frequency, amplitude, and phase characteristics of the EEG signals, the participants' emotional states, such as anger, fear, sadness, disgust, surprise, curiosity, acceptance, and happiness, can be identified. Based on the participants' emotional states, the corresponding fragrances can be evaluated.

[0027] The head-mounted device collects brainwave signals through electrodes, the electrode positions are as follows: Figure 2The diagram shows the electrode placement for the 10-20 system, representing the standard electrode placement. Eight electrodes are placed on each side, plus the frontal midpoint (Fz), central point (Cz), and vertex (Pz) on the anterior and posterior sides, and two ear electrodes (A1 and A2 representing the left and right earlobes respectively), for a total of 21 electrodes. Electrodes are represented by Arabic numerals, with odd numbers indicating the left side of the brain and even numbers indicating the right side, decreasing in number from the outer edge to the midline. In the eight electrodes on each side, F represents the frontal lobe, Fp represents the frontal poles, T represents the temporal lobes, O represents the occipital lobes, P represents the parietal lobes, and C represents the central lobe.

[0028] In this embodiment, the fragrance to be tested is an in-car fragrance with the function of relieving driving fatigue. Specifically, the fragrance to be tested is prepared using fragrance components with significant energizing value. The fragrance formulation components include aldehyde C-10, orange oil, and dihydromyrcenol. The fragrance to be tested guides consumers to perceive a natural and healthy invigorating feeling by creating a natural and associative atmosphere. The top notes include the aromas of green plants, sweet orange, herbs, mint, bergamot, green leaves, aldehydes, lime, and pineapple. The middle notes include the aromas of flowers, jasmine, clove, rose, lily of the valley, gardenia, hyacinth, carnation, and honey. The base notes include the aromas of musk, amber, tonkatsu bean, and balsam. The target participants were all pre-recruited car owners with over one year of driving experience, totaling 48 people. Their ages were evenly distributed across 20-30, 30-40, and 40-50 years old, with a gender distribution of one-third female and two-thirds male. The participants had no history of olfactory impairment or loss, no respiratory, mental, or chronic diseases, and no history of taking anti-anxiety or antidepressant medications. The testing environment required an indoor temperature of 18–25℃, humidity of 50±10%RH, and a well-ventilated, odor-free environment. During the electroencephalogram (EEG) test, the participants used the corresponding scent strips for each fragrance to test the product. Each fragrance was tested three times, each time for 3–5 seconds, with intervals of at least 15 seconds.

[0029] This embodiment collects test EEG signals from the target subject after using the fragrance to be tested, wherein the olfactory-related test EEG signals are from the frontal lobe region. Figure 2 (F3 and F4 electrode signals) and apical region test signals ( Figure 2 The signals from electrodes P3, P2, and P4 were analyzed to further verify whether the fragrance under test could alleviate driving fatigue and improve attention.

[0030] S20. Determine the test fractal dimension based on the test signal in the frontal lobe region, and determine the fragrance preference parameter of the target object based on the test fractal dimension.

[0031] Understandably, electroencephalogram (EEG) signal analysis is a non-invasive analytical method that directly measures neural activity through electrodes on the scalp. The synchronized activity of a large number of neurons generates an electric field strong enough to reach the scalp, which is recorded as an EEG with high temporal resolution. In spectral analysis, the EEG signal is divided into five standard bands: δ (0.5-4Hz), θ (4-8Hz), α (8-12Hz), β (13-30Hz), and γ (>30Hz). Brain activity in each band is associated with different cognitive functions. Specifically, based on classic neurological literature, the intensity difference of the α band between the left and right forebrain is calculated... Figure 2 The asymmetry of alpha waves in the F3 and F4 electrode signals of the midfrontal lobe can assess liking and mood. However, spectral analysis may fail to capture the complexity of brain activity associated with cognitive state transitions; in such cases, fractal dimension (FD) is more effective than alpha band analysis. Fractal dimension is a measure of self-similarity at different scales, used to quantify the complexity of a signal or process, and is a method for assessing the state of complex dynamic systems. Examples include the Petrosian fractal dimension for detecting sleepiness levels and estimating sleep stages, the Hurst index for identifying epilepsy-like symptoms, mood, and estimating sleep stages, and the Katz fractal dimension for diagnosing Alzheimer's disease, schizophrenia, and estimating sleepiness levels. The test fractal dimension refers to the fractal dimension result of the EEG signal after the subject uses the tested fragrance. The fragrance liking parameter refers to the subject's degree of liking for the tested fragrance.

[0032] In this embodiment, in order to accurately analyze the dynamic changes in emotions and cognition before and after using the fragrance to be tested, the fractal dimension analysis of the temporal features of the test signal in the frontal lobe region is performed to obtain the test fractal dimension, and the fragrance preference parameter of the target object is determined based on the test fractal dimension.

[0033] S30. Obtain the test theta wave intensity based on the test signal of the apical region, and determine the fragrance relaxation parameter based on the test theta wave intensity.

[0034] Understandably, the fragrance relaxation parameter refers to the degree of relaxation experienced by test subjects after using the fragrance being tested. In this embodiment, the test signal from the parietal lobe region is acquired ( Figure 2 The intensity of the test theta wave corresponding to the P3, Pz and P4 electrode signals is used to determine the fragrance relaxation parameter based on the change in the test theta wave intensity.

[0035] S40. Determine the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance relaxation parameter.

[0036] Understandably, the functional evaluation result refers to the conclusion of whether the fragrance under test meets the functional requirements. In this embodiment, multiple evaluation indicators are set as needed. For example, a preference index is set to reflect the degree to which the fragrance under test is favored by the target object; an excitability index is set to reflect the effect of the fragrance under test in keeping the target object excited and relieving fatigue; and an arousal index is set to reflect the effect of the fragrance under test in refreshing the target object. After obtaining the fragrance preference parameter and the fragrance relaxation parameter, the various evaluation indicators are calculated and analyzed based on the fragrance preference parameter and the fragrance relaxation parameter as the basic indicator parameters to determine whether the evaluation indicator threshold is reached. Based on the analysis results, an objective functional evaluation result is obtained. The final functional evaluation result is determined by comprehensively considering all functional evaluation results corresponding to each target object.

[0037] In another embodiment, to further ensure the accuracy of the functional evaluation results, the results may include two parts: an objective functional evaluation based on electroencephalogram (EEG) signals and a subjective functional evaluation based on a questionnaire. The short questionnaire includes questions on aroma preference, intensity, fatigue relief level, and purchase intention. Each target subject is manually asked to answer the short questionnaire, and the results are statistically analyzed to obtain the subjective functional evaluation results. When both the objective and subjective functional evaluation results of all target subjects indicate that the functional requirements are met, the functional evaluation result of the fragrance under test is determined to meet the functional requirements. When any objective or subjective functional evaluation result indicates that the functional requirements are not met, the functional evaluation result is determined to be unmet, and a functional deficiency notification is sent to the R&D personnel, allowing them to adjust the formula of the fragrance under test based on the notification. Specifically, the objective functional evaluation results of all target subjects indicate that the fragrance under test has fatigue-relieving function, and the statistical data from the questionnaire survey shows that 81% of the target subjects believe that the fragrance under test has a fatigue-relieving effect, and 13% of the target subjects believe that the fragrance under test has a significant fatigue-relieving effect. Meanwhile, 67% of the target respondents liked the tested fragrance, while 27% neither liked nor disliked it. At this point, the objective and subjective functional evaluation results were consistent, and the final functional evaluation result was that the tested fragrance met the functional requirements.

[0038] This embodiment utilizes professional electroencephalogram (EEG) testing equipment to assist in evaluating the function of fragrances. Based on the subjects' actual EEG responses to fragrances, the functional evaluation of fragrances can be conducted intuitively and quickly, ensuring the timeliness and repeatability of the test. Simultaneously, objective indicator parameters ensure the validity of the data, improving the accuracy of the functional evaluation results and contributing to the scientific guidance of fragrance product development and fragrance formula adjustments. This embodiment can more accurately reflect the preferences and emotional responses of different test subjects to different scents, unaffected by language, culture, social influences, or personal subjective factors. From the perspective of fragrance products, it can more interestingly and innovatively enhance the user experience and brand loyalty, thereby improving product quality.

[0039] In one embodiment, step S40, namely determining the functional evaluation result based on the fragrance preference parameter and the fragrance relaxation parameter, includes:

[0040] S401. Determine the fragrance excitement parameter based on the fragrance preference parameter and the fragrance relaxation parameter;

[0041] S402. Determine the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance excitement parameter.

[0042] Understandably, the fragrance excitability parameter refers to the level of excitability experienced by test subjects after using the fragrance under test. Excitability is related to liking and relaxation; higher liking leads to higher excitability, and higher relaxation leads to lower excitability. The function of the fragrance under test is evaluated based on both the fragrance liking parameter and the fragrance excitability parameter, thus determining the corresponding functional evaluation result.

[0043] This embodiment derives the fragrance excitement parameter based on the fragrance preference parameter and the fragrance relaxation parameter, enriching the parameters of the evaluation index and ensuring the objectivity and effectiveness of the functional evaluation results from multiple dimensions.

[0044] In one embodiment, step S402, namely determining the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance excitement parameter, includes:

[0045] S4021. When the first preset evaluation condition is met, confirm that the function evaluation result meets the function requirements; the first preset evaluation condition includes:

[0046] The fragrance preference parameter is greater than a preset preference threshold;

[0047] The fragrance excitability parameter is greater than the preset excitability threshold.

[0048] Understandably, the first preset evaluation condition refers to the pre-set index conditions used to jointly determine whether the fragrance under test meets the functional requirements in terms of both liking and excitement. The index conditions include a preset liking threshold and a preset excitement threshold. Default values ​​for both thresholds can be set, or one or both thresholds can be adjusted as needed. The preset liking threshold refers to the pre-set critical value condition used to determine whether the fragrance under test meets the liking index requirement, and the preset excitement threshold refers to the pre-set critical value condition used to determine whether the fragrance under test meets the excitement index requirement.

[0049] For in-car fragrance products, the first requirement is user preference, thus necessitating the establishment of a preference index. To verify the effectiveness of in-car fragrance products in alleviating driving fatigue, an excitability index is also needed. For example, empirical data shows that when the excitability level is higher than 0.3, there is a 99% significant difference in excitability before and after using the tested fragrance, which can be considered as having a fatigue-relieving function.

[0050] In one embodiment, provided that the fragrance preference parameter is greater than a preset preference threshold, it is also possible to select a condition where the fragrance excitement parameter is greater than a preset excitement threshold, in which case the function evaluation result is determined to meet the function requirements.

[0051] In another embodiment, provided that the fragrance preference parameter is greater than the preset preference threshold, the fragrance excitement parameter may also be greater than the preset excitement threshold and other additional indicator conditions (such as intensity) may be met before the function evaluation result is determined to meet the function requirements.

[0052] This embodiment improves the accuracy of functional evaluation results by pre-setting liking and excitement thresholds as evaluation criteria and making judgments by comparing the thresholds.

[0053] In one embodiment, step S401, namely determining the fragrance excitement parameter based on the fragrance preference parameter and the fragrance relaxation parameter, includes:

[0054] S4011. Input the fragrance preference parameter and the fragrance relaxation parameter into a preset excitement level determination model, and determine the fragrance excitement parameter through the preset excitement level determination model; the preset excitement level determination model includes:

[0055]

[0056] Among them, Exciting represents the fragrance excitement parameter;

[0057] A represents the fragrance preference parameter;

[0058] B represents the fragrance relaxation parameter.

[0059] Understandably, the preset excitement level determination model is a pre-defined formula used to calculate excitement level parameters. A higher degree of liking corresponds to a higher degree of excitement, indicating a positive correlation between excitement and liking. Conversely, a higher degree of relaxation corresponds to a lower degree of excitement, indicating a negative correlation between excitement and relaxation. In one embodiment, the preset excitement level determination model uses coefficients... The influence of the fragrance preference parameter A is amplified, while the influence of the fragrance relaxation parameter B is eliminated by calculating the difference.

[0060] This embodiment uses a preset excitement level determination model to calculate the fragrance preference parameter and fragrance relaxation parameter using formulas, and allocates the contribution of preference and relaxation to excitement level proportionally, ensuring the rationality and effectiveness of the fragrance excitement level data.

[0061] In one embodiment, step S40, namely determining the functional evaluation result based on the fragrance preference parameter and the fragrance relaxation parameter, further includes:

[0062] S403. Determine the fragrance arousal parameter based on the fragrance relaxation parameter and the fragrance excitement parameter;

[0063] S404. Determine the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter, the fragrance excitement parameter, and the fragrance arousal parameter.

[0064] Understandably, the fragrance arousal parameter refers to the level of arousal experienced by test subjects after using the fragrance under test. Arousal is related to excitation and relaxation levels; a higher excitation score corresponds to a higher arousal score, and vice versa. That is, the greater the excitation and the lower the relaxation, the greater the arousal, and vice versa. The function of the fragrance under test is evaluated based on three aspects: fragrance preference parameter, fragrance excitation parameter, and fragrance arousal parameter, thus determining the functional evaluation result corresponding to the fragrance under test.

[0065] This embodiment derives fragrance excitement and fragrance arousal parameters based on fragrance preference and fragrance relaxation parameters, enriching the parameters of the evaluation indicators and ensuring the objectivity and effectiveness of the functional evaluation results from multiple dimensions.

[0066] In one embodiment, step S404, namely determining the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter, the fragrance excitement parameter, and the fragrance arousal parameter, includes:

[0067] S4041. When the second preset evaluation condition is met, confirm that the function evaluation result meets the function requirements; the second preset evaluation condition includes:

[0068] The fragrance preference parameter is greater than a preset preference threshold;

[0069] The fragrance excitability parameter is greater than a preset excitability threshold;

[0070] The fragrance arousal parameter is greater than the preset arousal threshold.

[0071] Understandably, the second preset evaluation condition refers to the pre-set index conditions used to jointly determine whether the fragrance under test meets the functional requirements in terms of liking, excitement, and arousal. The index conditions include preset liking threshold, preset excitement threshold, and preset arousal threshold. Default values ​​for the three thresholds can be set, or one or more of the thresholds can be adjusted as needed. The preset arousal threshold refers to the pre-set critical value condition used to determine whether the fragrance under test meets the arousal index requirements.

[0072] In one embodiment, provided that the fragrance preference parameter is greater than a preset preference threshold, it is possible to simultaneously satisfy both the fragrance excitement parameter and the fragrance arousal parameter as a preset arousal threshold, and then determine that the function evaluation result meets the function requirements.

[0073] In another embodiment, provided that the fragrance preference parameter is greater than the preset preference threshold, the fragrance excitement parameter is greater than the preset excitement threshold, the fragrance arousal parameter is greater than the preset arousal threshold, and other additional indicator conditions (such as intensity) are also met before the function evaluation result is determined to meet the function requirements.

[0074] This embodiment improves the accuracy of functional evaluation results by pre-setting preference threshold, excitement threshold, and arousal threshold as evaluation criteria and making judgments by comparing the thresholds.

[0075] In one embodiment, step S403, namely determining the fragrance arousal parameter based on the fragrance relaxation parameter and the fragrance excitement parameter, includes:

[0076] S4031. Input the fragrance relaxation parameter and the fragrance excitement parameter into a preset arousal level determination model, and determine the fragrance arousal parameter through the preset arousal level determination model; the preset arousal level determination model includes:

[0077]

[0078] Awakening refers to the fragrance arousal parameter;

[0079] Exciting indicates the fragrance's excitability;

[0080] B represents the fragrance relaxation parameter.

[0081] Understandably, the preset arousal determination model is a pre-defined formula used to calculate arousal parameters. Higher arousal levels correspond to higher arousal, indicating a positive correlation between arousal and arousal. Conversely, higher relaxation levels correspond to lower arousal, indicating a negative correlation between arousal and relaxation. In one embodiment, the preset arousal determination model uses coefficients... The effect of the fragrance excitement parameter Exciting is amplified, while the effect of the fragrance relaxation parameter B is eliminated by calculating the difference.

[0082] This embodiment uses a preset arousal level determination model to calculate the fragrance excitement and relaxation parameters using formulas, and proportionally allocates the contribution of arousal and relaxation to excitement, ensuring the rationality and effectiveness of the fragrance arousal level parameters.

[0083] In one embodiment, step S20, namely determining the test fractal dimension based on the test signal of the frontal lobe region and determining the fragrance preference parameter of the target object based on the test fractal dimension, includes:

[0084] S201. Obtain the reference signal of the frontal lobe region of the target object before using the fragrance to be tested;

[0085] S202. Perform fractal dimension analysis on the reference signal of the frontal lobe region to obtain the reference fractal dimension, and perform fractal dimension analysis on the test signal of the frontal lobe region to obtain the test fractal dimension.

[0086] S203. Determine the fragrance preference parameter of the target object based on the benchmark fractal dimension and the test fractal dimension.

[0087] Understandably, to eliminate environmental influences and individual differences among the target subjects, it is necessary to collect not only the test EEG signals after the target subjects use the fragrance to be tested, but also the test EEG signals before the target subjects use the fragrance to be tested. The frontal lobe baseline signal refers to the frontal lobe EEG signal of the subject before using the fragrance to be tested, while the frontal lobe test signal refers to the frontal lobe EEG signal of the subject after using the fragrance to be tested. The baseline fractal dimension is the fractal dimension result corresponding to the frontal lobe baseline signal, and the test fractal dimension is the fractal dimension result corresponding to the frontal lobe test signal.

[0088] In one embodiment, after the target subject wears the head-mounted device, brainwave signals are recorded for 60 seconds while the target subject is in a calm state, and the brainwave signals from the frontal lobe region are recorded. Figure 2The F3 and F4 electrode signals were used as the baseline signals for the frontal lobe region. During data processing, fractal dimension analysis was performed on both the baseline and test signals from the frontal lobe region to obtain the baseline and test fractal dimensions. Since the emotional changes of the target subject before and after using the tested fragrance will cause fluctuations in the fractal dimension, the fragrance preference parameters of the target subject can be determined based on the difference between the baseline and test fractal dimensions.

[0089] This embodiment analyzes the fractal dimension fluctuations of the frontal lobe EEG signals of the target subject before and after using the tested fragrance, thereby intuitively reflecting the impact of the tested fragrance on the target subject's emotional changes in preference. This ensures the objectivity of the data and increases the credibility of the functional evaluation results.

[0090] In one embodiment, step S30, namely obtaining the test theta wave intensity based on the test signal of the parietal lobe region and determining the fragrance relaxation parameter based on the test theta wave intensity, includes:

[0091] S301. Obtain the reference signal of the top leaf region of the target object before using the fragrance to be tested;

[0092] S302. Obtain the reference theta wave intensity corresponding to the reference signal of the top leaf region, and obtain the test theta wave intensity corresponding to the test signal of the top leaf region;

[0093] S303. Determine the fragrance relaxation parameter of the target object based on the reference theta wave intensity and the test theta wave intensity.

[0094] Understandably, the parietal lobe baseline signal refers to the electroencephalogram (EEG) signal in the parietal lobe region before the subject uses the fragrance being tested, while the parietal lobe test signal refers to the EEG signal in the parietal lobe region after the subject uses the fragrance. The baseline theta wave intensity is the theta wave intensity corresponding to the parietal lobe baseline signal, and the test theta wave intensity is the theta wave intensity corresponding to the parietal lobe test signal. When theta waves are the dominant EEG waves, a person's conscious activity is significantly inhibited, making logical thinking and reasoning impossible, resulting in a relaxed mental state. Therefore, theta wave intensity can directly reflect the degree of relaxation.

[0095] In one embodiment, after the target subject wears the head-mounted device, brainwave signals are recorded for 60 seconds while the target subject is in a calm state. The brainwave signals from the parietal lobe region are then recorded. Figure 2 The P3, Pz, and P4 electrode signals are used as the reference signals for the parietal lobe region. During data processing, the reference theta wave intensity corresponding to the reference signal for the parietal lobe region and the test theta wave intensity corresponding to the test signal for the parietal lobe region are obtained respectively. Based on the difference between the reference theta wave intensity and the test theta wave intensity, the fragrance relaxation parameter of the target object can be determined.

[0096] This embodiment analyzes the difference in electroencephalogram (EEG) signals in the parietal lobe region of the target subject before and after using the fragrance under test, thereby providing a direct reflection of the fragrance's impact on the target subject's relaxation mood. This ensures the objectivity of the data and increases the credibility of the functional evaluation results.

[0097] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0098] In one embodiment, a fragrance function evaluation device is provided, which corresponds one-to-one with the fragrance function evaluation method described in the above embodiments. For example... Figure 3 As shown, the fragrance function evaluation device includes an electroencephalogram (EEG) testing module 10, a preference determination module 20, a relaxation level determination module 30, and a fragrance function evaluation module 40. Detailed descriptions of each functional module are as follows:

[0099] The EEG testing module 10 is used to collect test EEG signals of the target subject after using the fragrance to be tested. The test EEG signals include frontal lobe region test signals and parietal lobe region test signals.

[0100] The preference determination module 20 is used to determine the test fractal dimension based on the test signal of the frontal lobe region, and to determine the fragrance preference parameter of the target object based on the test fractal dimension.

[0101] Relaxation degree determination module 30 is used to obtain the test theta wave intensity based on the test signal of the parietal lobe region, and determine the fragrance relaxation degree parameter based on the test theta wave intensity;

[0102] The fragrance function evaluation module 40 is used to determine the function evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance relaxation parameter.

[0103] In one embodiment, the fragrance function evaluation module 40 includes:

[0104] An excitation level determination unit is used to determine the fragrance excitation level parameter based on the fragrance preference parameter and the fragrance relaxation parameter.

[0105] The first functional evaluation result determination unit is used to determine the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance excitement parameter.

[0106] In one embodiment, the fragrance function evaluation module 40 further includes:

[0107] The first functional requirement satisfaction determination unit is used to confirm that the functional evaluation result satisfies the functional requirements when a first preset evaluation condition is met; the first preset evaluation condition includes:

[0108] The fragrance preference parameter is greater than a preset preference threshold;

[0109] The fragrance excitability parameter is greater than the preset excitability threshold.

[0110] In one embodiment, the fragrance function evaluation module 40 further includes:

[0111] An excitation level determination model calculation unit is used to input the fragrance preference parameter and the fragrance relaxation parameter into a preset excitation level determination model, and determine the fragrance excitation parameter through the preset excitation level determination model; the preset excitation level determination model includes:

[0112]

[0113] Among them, Exciting represents the fragrance excitement parameter;

[0114] A represents the fragrance preference parameter;

[0115] B represents the fragrance relaxation parameter.

[0116] In one embodiment, the fragrance function evaluation module 40 further includes:

[0117] Arousal determination unit is used to determine the fragrance arousal parameter based on the fragrance relaxation parameter and the fragrance excitement parameter;

[0118] The second functional evaluation result determination unit is used to determine the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter, the fragrance excitement parameter, and the fragrance arousal parameter.

[0119] In one embodiment, the fragrance function evaluation module 40 further includes:

[0120] The second functional requirement satisfaction determination unit is used to confirm that the functional evaluation result satisfies the functional requirements when the second preset evaluation conditions are met; the second preset evaluation conditions include:

[0121] The fragrance preference parameter is greater than a preset preference threshold;

[0122] The fragrance excitability parameter is greater than a preset excitability threshold;

[0123] The fragrance arousal parameter is greater than the preset arousal threshold.

[0124] In one embodiment, the fragrance function evaluation module 40 further includes:

[0125] An arousal level determination model calculation unit is used to input the fragrance preference parameter and the fragrance excitement parameter into a preset arousal level determination model, and determine the fragrance arousal parameter through the preset arousal level determination model; the preset arousal level determination model includes:

[0126]

[0127] Awakening refers to the fragrance arousal parameter;

[0128] Exciting indicates the fragrance's excitability;

[0129] A represents the fragrance preference parameter.

[0130] In one embodiment, the preference determination module 20 includes:

[0131] A frontal lobe region reference signal acquisition unit is used to acquire the frontal lobe region reference signal of the target object before using the fragrance to be tested.

[0132] The fractal dimension analysis unit is used to perform fractal dimension analysis on the reference signal of the frontal lobe region to obtain the reference fractal dimension, and to perform fractal dimension analysis on the test signal of the frontal lobe region to obtain the test fractal dimension.

[0133] The fragrance preference parameter determination unit is used to determine the fragrance preference parameter of the target object based on the benchmark fractal dimension and the test fractal dimension.

[0134] In one embodiment, the relaxation degree determination module 30 includes:

[0135] The apical lobe region reference signal acquisition unit is used to acquire the apical lobe region reference signal of the target object before using the fragrance to be tested;

[0136] The theta wave intensity acquisition unit is used to acquire the reference theta wave intensity corresponding to the reference signal of the top leaf region, and to acquire the test theta wave intensity corresponding to the test signal of the top leaf region.

[0137] The fragrance relaxation parameter determination unit is used to determine the fragrance relaxation parameter of the target object based on the reference theta wave intensity and the test theta wave intensity.

[0138] Specific limitations regarding the fragrance functional evaluation device can be found in the limitations of the fragrance functional evaluation method described above, and will not be repeated here. Each module in the aforementioned fragrance functional evaluation device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0139] In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 4 As shown, the computer device includes a processor, memory, network interface, display screen, and input device connected via a system bus. The processor provides computing and control capabilities. The memory includes a readable storage medium and internal memory. The non-volatile storage medium stores an operating system and computer-readable instructions. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the readable storage medium. The network interface is used to communicate with an external server via a network connection. When the computer-readable instructions are executed by the processor, they implement a method for evaluating the functionality of a fragrance. The readable storage medium provided in this embodiment includes both non-volatile and volatile readable storage media.

[0140] In one embodiment, a computer device is provided, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein the processor performs the following steps when executing the computer-readable instructions:

[0141] The test brainwave signals of the target subject after using the fragrance to be tested are collected, and the test brainwave signals include frontal lobe test signals and parietal lobe test signals;

[0142] The test fractal dimension is determined based on the test signal in the frontal lobe region, and the fragrance preference parameter of the target object is determined based on the test fractal dimension.

[0143] The test theta wave intensity is obtained based on the test signal of the apical lobe region, and the fragrance relaxation parameter is determined based on the test theta wave intensity.

[0144] The functional evaluation result corresponding to the fragrance to be tested is determined based on the fragrance preference parameter and the fragrance relaxation parameter.

[0145] In one embodiment, one or more computer-readable storage media storing computer-readable instructions are provided. The readable storage media provided in this embodiment include non-volatile readable storage media and volatile readable storage media. The readable storage media stores computer-readable instructions, which, when executed by one or more processors, perform the following steps:

[0146] The test brainwave signals of the target subject after using the fragrance to be tested are collected, and the test brainwave signals include frontal lobe test signals and parietal lobe test signals;

[0147] The test fractal dimension is determined based on the test signal in the frontal lobe region, and the fragrance preference parameter of the target object is determined based on the test fractal dimension.

[0148] The test theta wave intensity is obtained based on the test signal of the apical lobe region, and the fragrance relaxation parameter is determined based on the test theta wave intensity.

[0149] The functional evaluation result corresponding to the fragrance to be tested is determined based on the fragrance preference parameter and the fragrance relaxation parameter.

[0150] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware through computer-readable instructions. These computer-readable instructions can be stored in a non-volatile readable storage medium or a volatile readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0151] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0152] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for functional evaluation of a fragrance, characterized in that, include: The test brainwave signals of the target subject after using the fragrance to be tested are collected, and the test brainwave signals include frontal lobe test signals and parietal lobe test signals; The test fractal dimension is determined based on the test signal in the frontal lobe region, and the fragrance preference parameter of the target object is determined based on the test fractal dimension. The test theta wave intensity is obtained based on the test signal of the apical lobe region, and the fragrance relaxation parameter is determined based on the test theta wave intensity. The functional evaluation result corresponding to the fragrance to be tested is determined based on the fragrance preference parameter and the fragrance relaxation parameter. The step of determining the test fractal dimension based on the test signal in the frontal lobe region, and determining the fragrance preference parameter of the target object based on the test fractal dimension, includes: Acquire the reference signal of the frontal lobe region of the target object before using the fragrance to be tested; Fractal dimension analysis is performed on the reference signal in the frontal lobe region to obtain the reference fractal dimension, and fractal dimension analysis is performed on the test signal in the frontal lobe region to obtain the test fractal dimension. The fragrance preference parameter of the target object is determined based on the reference fractal dimension and the test fractal dimension, wherein the fragrance preference parameter is determined based on the difference between the reference fractal dimension and the test fractal dimension; The process of determining the functional evaluation result based on the fragrance preference parameter and the fragrance relaxation parameter includes: The fragrance preference parameter and the fragrance relaxation parameter are input into a preset excitement level determination model, and the fragrance excitement parameter is determined by the preset excitement level determination model; the preset excitement level determination model includes: in, This indicates the fragrance's excitability parameter; This indicates a parameter representing fragrance preference. This indicates the relaxation level of the fragrance; The functional evaluation result corresponding to the fragrance to be tested is determined based on the fragrance preference parameter and the fragrance excitement parameter.

2. The method for evaluating the function of fragrance as described in claim 1, characterized in that, The step of determining the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance excitement parameter includes: When the first preset evaluation condition is met, the functional evaluation result is confirmed to meet the functional requirements; the first preset evaluation condition includes: The fragrance preference parameter is greater than a preset preference threshold; The fragrance excitability parameter is greater than the preset excitability threshold.

3. The method for evaluating the function of fragrance as described in claim 1, characterized in that, The process of determining the functional evaluation result based on the fragrance preference parameter and the fragrance relaxation parameter also includes: The fragrance arousal parameter is determined based on the fragrance relaxation parameter and the fragrance stimulation parameter; The functional evaluation result corresponding to the fragrance to be tested is determined based on the fragrance preference parameter, the fragrance excitement parameter, and the fragrance arousal parameter.

4. The method for evaluating the function of fragrance as described in claim 3, characterized in that, The step of determining the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter, the fragrance excitement parameter, and the fragrance arousal parameter includes: When the second preset evaluation condition is met, the functional evaluation result is confirmed to meet the functional requirements; the second preset evaluation condition includes: The fragrance preference parameter is greater than a preset preference threshold; The fragrance excitability parameter is greater than a preset excitability threshold; The fragrance arousal parameter is greater than the preset arousal threshold.

5. The method for evaluating the function of fragrance as described in claim 3, characterized in that, The step of determining the fragrance arousal parameter based on the fragrance relaxation parameter and the fragrance stimulation parameter includes: The aroma relaxation parameter and the aroma stimulation parameter are input into a preset arousal level determination model, and the aroma arousal parameter is determined by the preset arousal level determination model; the preset arousal level determination model includes: in, This indicates the fragrance's arousal level parameter; This indicates the fragrance's excitability parameter; This indicates the degree of relaxation provided by the fragrance.

6. The method for evaluating the function of fragrance as described in claim 1, characterized in that, The step of obtaining the theta wave intensity based on the test signal of the parietal lobe region and determining the fragrance relaxation parameter based on the theta wave intensity includes: Obtain the reference signal of the apical region of the target object before using the fragrance to be tested; Obtain the reference theta wave intensity corresponding to the reference signal of the top leaf region, and obtain the test theta wave intensity corresponding to the test signal of the top leaf region; The fragrance relaxation parameter of the target object is determined based on the reference theta wave intensity and the test theta wave intensity.

7. A fragrance function evaluation device, characterized in that, include: The electroencephalogram (EEG) testing module is used to collect test EEG signals of the target subject after using the fragrance to be tested. The test EEG signals include frontal lobe region test signals and parietal lobe region test signals. The preference determination module is used to determine the test fractal dimension based on the test signal of the frontal lobe region, and to determine the fragrance preference parameter of the target object based on the test fractal dimension. The relaxation degree determination module is used to obtain the test theta wave intensity based on the test signal of the parietal lobe region, and to determine the fragrance relaxation degree parameter based on the test theta wave intensity. The fragrance function evaluation module is used to determine the function evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance relaxation parameter. The preference determination module includes: A frontal lobe region reference signal acquisition unit is used to acquire the frontal lobe region reference signal of the target object before using the fragrance to be tested. The fractal dimension analysis unit is used to perform fractal dimension analysis on the reference signal of the frontal lobe region to obtain the reference fractal dimension, and to perform fractal dimension analysis on the test signal of the frontal lobe region to obtain the test fractal dimension. A fragrance preference parameter determination unit is used to determine the fragrance preference parameter of the target object based on the reference fractal dimension and the test fractal dimension, wherein the fragrance preference parameter is determined based on the difference between the reference fractal dimension and the test fractal dimension; The fragrance function evaluation module includes: An excitation level determination model calculation unit is used to input the fragrance preference parameter and the fragrance relaxation parameter into a preset excitation level determination model, and determine the fragrance excitation parameter through the preset excitation level determination model; the preset excitation level determination model includes: in, This indicates the fragrance's excitability parameter; This indicates a parameter representing fragrance preference. This indicates the relaxation level of the fragrance; The first functional evaluation result determination unit is used to determine the functional evaluation result corresponding to the fragrance to be tested based on the fragrance preference parameter and the fragrance excitement parameter.

8. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, characterized in that, When the processor executes the computer-readable instructions, it implements the fragrance functional evaluation method as described in any one of claims 1 to 6.

9. A computer-readable storage medium storing computer-readable instructions, characterized in that, When the computer-readable instructions are executed by one or more processors, the one or more processors cause the fragrance to perform the functional evaluation method as described in any one of claims 1 to 6.

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