447 results about "Olfactory perception" patented technology

An artificial intelligence system based on spatial-temporal information pairs is provided by the present disclosure. By integrally deploying paired vision, auditory and olfactory acquisition devices, a device that can collect the data within a 720-degree area is constructed, and the multi-dimensional continuous spatial-temporal information pairs such as positions, morphologies, motion states, sounds and odors from the ambient environment of the acquisition device or a same spatial object in the environment are recorded in real time. These information pairs can not only contain spatial relationships and a clock attribute, but also contain rich label attributes, for example, identifiers of acquisition devices, and a name, a category and a behavior pattern of the spatial object.

The invention relates to the technical field of emotion recognition, in particular to an odor-induced EEG emotion recognition method and system based on a space-time stratified attention mechanism, and the method comprises the steps: presenting odor stimulation to a testee through an olfactory stimulation device, and synchronously collecting an EEG signal and a free association voice text of the testee; performing semantic analysis on the free association voice text, and extracting keywords and corresponding emotion dimension tags; carrying out space-time hierarchical feature extraction on the EEG signal; constructing a space-time hierarchical attention mechanism model; and on the basis of the weighted spatial-temporal features and semantic tags, node connection weights of the individualized knowledge graph are updated through a graph neural network, and an emotion recognition result is generated. According to the method, spatial attention and time attention are combined, key spatio-temporal characteristics are dynamically focused, the limitation of a fixed weight of a traditional method is avoided, and the pertinence and integrity of neural signal representation are remarkably improved.

The invention provides a multi-scene fusion perception system and method of a humanoid robot olfaction sensor, and relates to the technical field of intelligent sensors, and the system comprises an olfaction perception optimization module which is used for obtaining an olfaction perception optimization network; the first matrix module is used for monitoring a gas pipeline to obtain a first matrix; the second matrix module is used for performing interference compensation according to a real-time environment; the third matrix module is used for correcting according to the state of the sensor; the leakage detection module is used for detecting pipeline leakage; and the suppression verification module is used for carrying out false alarm suppression verification on the pipeline leakage detection result to obtain a pipeline early warning signal. The gas leakage detection method and device can solve the technical problem that the gas leakage detection precision is limited due to the fact that the gas leakage detection device is prone to environmental interference and high in false alarm rate in the prior art, and can adjust the multi-node olfaction sensing network in real time through historical data, conduct multi-level correction on monitoring data and introduce false alarm suppression verification, thereby improving the detection accuracy of gas leakage. The accuracy of gas leakage detection in a multi-scene environment is improved.

The invention discloses a generative odor real-time synthesis method and system based on cross-modal potential space mapping, and belongs to the technical field of artificial intelligence and olfaction calculation. The method comprises the following steps: acquiring a multi-modal input stream of a current scene, and extracting an emotion semantic feature vector by using a deep neural network; mapping the semantic features into target odor chemical feature vectors by using nonlinear projection through a pre-constructed vision-smell joint embedding space; constructing a convex optimization model based on olfactory perception, and calculating a basic liquid optimal mixing proportionality coefficient matrix capable of fitting the target vector; the matrix is converted into a micro-fluidic driving signal, and the target smell is synthesized in situ in the micro-fluidic chip. The invention further discloses a self-adaptive cleaning logic and olfactory fatigue compensation mechanism based on scene mutation detection. The method solves the problems that in the prior art, label matching is dependent, new smell cannot be synthesized, and dynamic transition is lacked, and olfactory replicating and real-time generation of abstract semantic scenes are achieved.

The invention relates to the technical field of power equipment monitoring, in particular to a multi-mode sensor power equipment state monitoring system based on AI smell. The data acquisition module is used for acquiring multi-dimensional sensing data around the electrical equipment; the AI olfaction processing module is used for converting original sensor data into standardized odor feature fingerprints by performing spatial-temporal feature extraction and multi-modal feature fusion on the multi-dimensional perception data; the overheating state analysis module is used for generating an overheating comprehensive index and an equipment state evaluation result based on the smell characteristic fingerprints; the multi-stage early warning and response module is used for carrying out early warning grade judgment based on the overheating comprehensive index and the equipment state evaluation result and generating graded early warning information; and the storage module is used for storing historical monitoring data and early warning event records. According to the invention, through system integration of the multi-mode sensor array of the bionic olfaction mechanism, AI feature fusion processing and intelligent analysis decision, active sensing and accurate identification of the overheating state of the power equipment are realized.

The invention discloses a system and a method for monitoring olfactory smell in a pension community based on Internet of Things, and relates to the technical field of pension, a TVOC sensor and an ammonia gas sensor are adopted to capture volatile organic compounds released by sweat in real time, and temperature, humidity and air fluidity data are combined to calculate a dynamic air quality index, so that the olfactory smell in the pension community is monitored. The defect that a traditional method only depends on temperature and humidity or CO2 concentration monitoring is overcome; secondly, in the air quality state analysis process, AI analysis is adopted for sweat and odor concentration prediction and pollution trend modeling, a long-short-term memory network LSTM is introduced for time sequence analysis, in combination with air quality change rate and humidity anomaly detection, it is guaranteed that air pollution can be timely and early recognized and predicted, and the problem of monitoring blind areas is avoided; and in the aspect of air optimization regulation and control, the air volume and the purification intensity of the air purification equipment are dynamically adjusted through ventilation control in combination with an air quality optimization instruction and an old people fitness activity mode.

The invention provides a total sensory data processing method and device based on AR glasses and electronic equipment, and relates to the field of data processing. In the method, total sensory data for a target environment sent by a multi-modal sensor is obtained, and the multi-modal sensor is located on AR glasses; performing feature extraction on the total sensory data by adopting a multi-modal dynamic fusion network to obtain a visual feature, an auditory feature, an olfactory feature and a tactile feature; determining a synchronization event from the visual feature, the auditory feature, the olfactory feature and the tactile feature through a time alignment model; and according to the synchronization event, generating a multi-modal feedback strategy, and controlling the AR glasses to execute the multi-modal feedback strategy. By implementing the technical scheme provided by the invention, the use experience of a wearer of the AR glasses can be improved.

The invention discloses a multi-mode perception collaboration and real-time synchronization system, which breaks through the limitation of vision / hearing in the prior art, covers vision, hearing, smell and movement, and realizes more accurate cooperation through a perception layer, a control layer and an execution layer. According to the invention, an immersive experience space full of shock and reality can be created, synchronous output of visual, auditory, tactile and olfactory signals is realized by means of high-precision equipment, and a series of cross-sensory signal superposition schemes are designed on the basis of response characteristics of human physiology and psychology to various sensory stimuli. Therefore, the overall perception of the experiencer to the space atmosphere is enhanced. Meanwhile, through weight distribution and conflict resolution, the system can flexibly adjust the sensing mode according to the environment and the user state. The multi-device cooperation error can be controlled at millisecond level and millimeter level, and the natural fusion of virtuality and reality is realized.

Aspects of the present disclosure relate to an apparatus for predicting an olfactory profile of a molecule, the apparatus comprising memory circuitry, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to obtain a first representation of the molecule and a second representation of the molecule, process the first representation using at least one first machine-learning model to obtain a first predicted olfactory profile of the molecule, process the second representation using at least one second machine-learning model to obtain a second predicted olfactory profile of the molecule, process the first predicted olfactory profile and the second predicted olfactory profile, or a combined version of the first predicted olfactory profile and the second predicted olfactory profile, using a third machine-learning model, the third machine-learning model being trained to output a third predicted olfactory profile of the molecule.

The invention discloses an outdoor environment health monitoring method based on an olfactory chip, and relates to the technical field of environment health monitoring. A traditional sensor and an olfactory chip are adopted at a monitoring node at the same time, so that synchronous acquisition of temperature, humidity, gas concentration and complex smell fingerprints is realized; the limitation of identifying multi-component pollutants in a complex environment of an industrial area by a single data source is fundamentally made up; the traditional method is difficult to distinguish cross interference of various gases, however, in the invention, a deep neural network is combined with an attention mechanism to extract implicit features of sensing data, and data cross correction is realized through space-time correlation analysis, so that the accuracy of pollutant identification is remarkably improved; further introducing a graph neural network to carry out modeling on spatio-temporal data of each monitoring node, capturing space structure information of the whole monitoring network, and forming a fusion feature vector with relatively high distinguishing capability; the problem of signal cross interference when various malodorous gases are mixed in an industrial area is effectively solved.

The invention provides a molecular smell recognition method, device and equipment, a medium and a product, and the method comprises the steps: obtaining a plurality of gas molecules in a target region; performing substance identification on the plurality of gas molecules, and determining the substance structure of each gas molecule; determining the SMILES formula of each gas molecule according to the substance structure of each gas molecule; carrying out standardization treatment on the SMILES formula of each gas molecule to obtain a target SMILES formula of each gas molecule; generating a target virtual code according to the plurality of target SMILES formulas and preset olfactory receptor information; inputting the target virtual code and a plurality of target SMILES into a trained OR-POM model, and determining a smell label of each gas molecule; and determining the odor in the target area and an odor space map in the target space according to the odor label of each gas molecule. According to the SMILES type of the gas molecules and olfactory receptor information, stereoisomerous information analysis of the odor molecules can be carried out, and the odor of the gas molecules can be coded and identified.

Provided are a method and the like for efficiently screening for a candidate substance for a starting material that suppresses hexanal odor. The screening method according to the present invention comprises the steps of: adding a test substance and hexanal to a specific olfactory receptor polypeptide; a step for measuring the response of the olfactory receptor polypeptide to hexanal; and identifying, on the basis of the measured response, a test substance that inhibits the response of the olfactory receptor polypeptide as a candidate substance for a raw material that inhibits hexanal odor.

The invention discloses a vehicle-mounted interaction system and method for adjusting the emotion of a driver, a vehicle and a medium, and relates to the technical field of intelligent driving. The vehicle-mounted interaction system comprises an emotion sensing module, a data processing module and a feedback control module which are connected with one another, the emotion sensing module is used for acquiring multi-modal information of a driver, and the multi-modal information comprises facial data, physiological data and voice data; the data processing module is used for fusing the multi-modal information and determining an emotional state level of the driver; and the feedback control module is used for controlling operation parameters of the multi-channel actuator according to the emotional state level, and the multi-channel actuator comprises an auditory channel, a visual channel, an olfactory channel and a tactile channel. By adopting the vehicle-mounted interaction system, the emotion of the driver can be actively sensed and cooperatively adjusted, and the driving safety and comfort are effectively improved.

The invention discloses a system and method for performing cranial nerve stimulation based on olfaction, hearing and synchronous magnetomotive stimulation, and the system comprises a magnetic therapy bearing main body which is a magnetic therapy helmet, serves as a basic bearing structure of the system, and is used for installing all functional assemblies, providing magnetic therapy physical auxiliary stimulation, and achieving the cooperation of magnetic therapy and multi-mode stimulation; the olfactory stimulation subsystem is used for providing olfactory stimulation with precise regulation and control; the auditory stimulation subsystem is used for providing personalized audio stimulation; the magnetomotive stimulation subsystem is used for providing magnetomotive stimulation; the nerve stimulation cooperation subsystem is used for planning multi-mode stimulation as a whole and achieving regulation and control. Through the synergistic effect of olfactory stimulation, auditory stimulation and magnetomotive stimulation, three major neural pathways of olfactory, auditory and somatosensory can be activated at the same time, multi-dimensional nerve resonance is formed, the brain wave synchronization degree is remarkably improved, and the adjuvant therapy effect on Alzheimer's disease, cognitive impairment and other diseases is superior to that of single-mode stimulation.

The invention discloses an interactive seven-stringed plucked instrument music body and mind healing system, relates to the technical field of intelligent health management, and constructs an immersive body and mind conditioning environment by integrating multi-sensory stimulation of sound, light and smell and a seven-stringed plucked instrument music healing function. The system comprises a simulated seven-stringed plucked instrument sound box, an intelligent seven-stringed plucked instrument base, a millimeter wave radar, an infrared camera, a directional microphone, an intelligent aromatherapy machine and an intelligent light module, physiological and psychological data of a user are collected in real time, and a physical and psychological state report is generated through AI model analysis. And dynamically matching guqin music tracks (such as'ghost blue 'for relieving anxiety), fragrance types (such as sandalwood for soothing nerves) and intelligent light scenes (simulating morning dawn / moonlight). A non-contact sensing technology is innovatively adopted, and a seven-stringed plucked instrument tone color characteristic and a natural light environment algorithm are combined, so that cooperative adjustment of music frequency, light color temperature and fragrance concentration is realized, the problems of single sense organ and insufficient dynamic adaptation of a traditional healing system are solved, and a personalized and non-intrusive body and mind conditioning scheme is provided for sub-health people.

To enable installing, at appropriate positions, respective sensors for acquiring various kinds of information necessary for controlling a robot in a multimodal manner; and to acquire information from the respective sensors in an appropriate state and at appropriate timing.SOLUTION: In a hand tool 50, sensors having respective different information acquisition functions are attached to respective finger parts 22A, 22B, 22C, 22D, and 22E. In other words, sensors for acquiring various kinds of information necessary for controlling a robot are attached. A visual sensor 51A for detecting visual information is attached to a thumb, an auditory sensor 51B for detecting auditory information is attached to an index finger, an olfactory sensor 51C is attached to a middle finger, a tactile sensor 51D for detecting tactile information is attached to a ring finger, and a taste sensor 51E for detecting taste information is attached to a little finger.SELECTED DRAWING: Figure 4

The invention discloses a method for predicting an interaction relationship between aroma substances based on a decision tree algorithm. The method comprises the following steps: constructing an aroma substance interaction relationship database; training the C5.0 decision tree prediction model based on the Booting algorithm by taking data of the aroma substance interaction relationship database as a training test data set to obtain an optimal prediction model; and utilizing the optimal prediction model to obtain the interaction relationship of the aroma substance combination to be predicted. According to the method disclosed by the invention, the decision tree model is adopted to carry out association modeling on binding energy data and sensory experiment results, and a Boosting algorithm is introduced to optimize model parameters, so that deep fusion of olfactory receptor binding energy and sensory evaluation data is realized; and through multi-dimensional data integration, the aroma substance interaction prediction precision is remarkably improved, and the method has wide applicability and good application prospects.

The invention discloses an olfactory reconstruction electrical stimulation regulation and control system for a nerve prosthesis, and the system comprises a sensor, an electrode array, a control unit, a signal processing module, a wireless transmission module, an electrode driving module, and a feedback collection module. The olfactory bulb, the olfactory epithelium or the olfactory cortex are electrically stimulated through the array electrode, and the smell sensing process is simulated. According to the invention, olfaction signal transmission is reconstructed by accurately regulating and controlling electrical stimulation parameters, and a patient with olfaction loss is helped to recover perception of surrounding environment smell. The system has the advantages of high precision, controllability, personalized adaptation and the like, and an innovative technical scheme is provided for perception recovery of olfactory deficiency patients.

A scent generator includes a supply chamber configured for receiving a volume of an olfactory stimulant, the supply chamber including an electrically conductive foam configured to volatilize a portion of the olfactory stimulant; and a power supply configured to provide an electrical signal to the electrically conductive foam and cause the olfactory stimulant to volatilize and be ejected from the supply chamber. A pest trap using the scent generator and a computer program product for controlling the scent generator are disclosed.

The invention belongs to the technical field of intelligent fragrance control, and discloses an intelligent fragrance control system and method based on olfaction perception self-adaption, multi-dimensional data such as exhaled gas fragrance residue and skin electroreaction are captured in real time through a multi-mode olfaction fatigue monitoring unit, and 1-5 olfaction fatigue levels are accurately judged in combination with an LSTM-attention model; and then the dynamic release control unit is matched with a layering strategy, for example, short-time pulse stimulation is started in light fatigue, fragrant cross-modulation switching and concentration zeroing are triggered in heavy fatigue, and local high-concentration pseudo fatigue is avoided synchronously through a distributed space probe. By means of the design, fragrance release is always matched with the real-time olfaction state of a user, the problem that the fragrance cannot be effectively perceived after continuous exposure is thoroughly solved, it is ensured that the user can stably perceive the fragrance in different use periods, and the use experience is remarkably improved; and a complete logic chain with multi-mode monitoring, double-target sensing and cooperative control is constructed.

The invention belongs to the technical field of food processing. The invention discloses a method for targeted determination of an optimal composite combination for masking reheating peculiar smell of prefabricated aquatic products by using terpene compounds. The method is characterized by comprising the following steps: (1) selecting peculiar smell compounds; (2) carrying out molecular docking on the odor compound and an olfactory receptor to obtain a key olfactory receptor; (3) combining the terpene compound and the odor compound, and performing binary molecular docking with the key olfactory receptor to obtain a typical terpene compound capable of masking reheating odor; (4) obtaining an odorless substrate; (5) taking the prepared odorless substrate as a medium to obtain a key terpene compound with a masking effect; (6) determining the theoretical minimum inhibition concentration of peculiar smell; and (7) obtaining an optimal compound combination capable of effectively inhibiting reheating peculiar smell and keeping the original flavor of the aquatic products. The optimal composite composition obtained by the method can effectively mask characteristic peculiar smell generated in the reheating process of the prefabricated aquatic product, and can well maintain the original flavor of the aquatic product.

The invention discloses a wearable digital olfaction experience device, system and method. The core purpose of the wearable digital olfaction experience device, system and method is to determine that olfaction is a brand-new and high-fidelity digital information medium. The device is positioned as a purely "olfactory display" that includes a nose wearing structure, an olfactory stimulus generating unit, a wireless communication module, and a processing circuit. The core of the olfactory stimulus control device is that the processing circuit adopts pure open-loop control logic and is configured to receive timestamps and parameters defined in an external digital control instruction sequence and drive the olfactory stimulus generation unit to perform high-fidelity micro-dose release strictly according to the timestamps and parameters. An accurate and synchronous olfactory dimension is provided for immersive experience such as VR / AR, a brand-new and private information expression mode is opened up, and a complete technical link from content creation to sharing is constructed around the device.

The invention relates to the technical field related to robots, in particular to a design method and device for a robot with human characters and capable of achieving self thinking. The method comprises the following steps: acquiring a five-recognition information matrix; wherein the five-recognition information matrix comprises image recognition information, voice recognition information, taste recognition information, smell recognition information and body touch and limb movement recognition information; the five-recognition information matrix is a partial matrix in the state matrix; determining a stimulation matrix based on the change of the state matrix over time and a predetermined character matrix; wherein the character matrix is used for representing characters of the robot; wherein the stimulation matrix is used for representing the change of the state matrix, and stimulation is obtained under the influence of the character matrix; adjusting a state matrix in combination with the stimulation matrix, the character matrix and a preset memory warehouse; the state matrix is used for representing the current state of the robot; based on the adjusted state matrix, behaviors needing to be carried out by the robot are determined, and a behavior matrix is obtained; and adjusting the character matrix in combination with the state matrix and the stimulation matrix.

The invention discloses an odor knowledge base construction method and system based on molecular modeling and deep learning, and belongs to the technical field of artificial intelligence and digital odor. According to the method, firstly, smell molecules are subjected to standardization treatment, and smell perception labels of the smell molecules are extracted to construct a smell knowledge base; expressing the odor molecules as a molecular graph structure, introducing molecular position coding to model a three-dimensional geometric configuration, and learning high-dimensional feature expression through a first graph neural network; then selecting odor molecules from the knowledge base and generating mixture candidates based on the similarity so as to form a mixture molecular map; and finally, processing the molecular map of the mixture by using a label prediction model, predicting an olfactory perception label of the mixture, and expanding a result to a knowledge base. According to the method, unified characterization of the single molecule and the mixture is realized, the technical vacancy of mixture olfaction prediction is filled, the dimensionality and expansibility of the knowledge base are improved, and the method can be widely applied to the fields of digital blending, smell recommendation and the like.

A multimodal system that measures one or more parameters relating to an individual's response to the presentation of a scent / odor stimuli and providing an evaluation of olfactory function in the individual based on the measure(s). In some instances, the system can be used to determine if the olfactory deficit in the individual is due to underlying olfactory pathology or non-olfactory causes. The system can also further differentiate non-olfactory causes to knowledge or memory-based deficiencies in the individual. The system can include at least two scents from at least two distinct scent families which are presented an individual. The system can also include a questionnaire that evaluates scent classification, description, and discrimination ability of an individual in connection with the presented scents. The system can also include the measurement of neurophysiological activity through an electroencephalogram (EEG) or functional magnetic resonance imaging (fMRI), in response to scent presentation.

The invention, which relates to the technical field of the simulation machine pet system, discloses an AI-driven full-perception simulation machine pet system comprising an AI training module, an olfactory perception module, an auditory perception module, a visual perception module, a navigation positioning module, a touch simulation module and a motion control module. The AI training module is used for generating a personalized behavior model through a machine learning algorithm based on the user behavior data and the environment data, and driving a mechanical pet to simulate the learning and growth process of a biological pet; the olfaction sensing module is used for collecting environment gas data through a gas sensor array, and identifying and feeding back a security threat signal to the main control system in combination with the behavior model output by the AI training module; the auditory perception module is used for receiving a sound wave signal through a microphone array and triggering an instruction response action generated by the AI training module after the sound wave signal is analyzed by a voice recognition algorithm; the visual perception module is used for capturing environment image data through a spherical camera.

The invention discloses an auxiliary artificial olfaction compensation method and device based on a brain-computer interface. The method comprises the steps that a scalp electroencephalogram cap is combined with a nasal cavity near infrared spectrum sensor to synchronously collect non-invasive signals; performing time-frequency analysis on the non-intrusive signal, and converting an alpha wave, a gamma wave and an individualized characteristic frequency band into a Poincare map and nonlinear kinetic parameters; according to the individualized olfactory brain network connection atlas, transcranial magnetic stimulation and transcranial direct current stimulation, setting a targeted stimulation position and intensity for a specific brain region related to olfactory perception; presenting a preset odor stimulus to the subject, evaluating the attention, emotion and olfactory perception state of the subject, and adaptively adjusting the intensity, frequency and odor concentration of the nerve stimulus and artificial olfactory stimulus to optimize the compensation effect. The olfactory functions of different regions of the brain of the olfactory disorder patient are collected through the brain-computer interface, and the regions corresponding to the brain are simulated and stimulated through gases with different smells to assist in stimulation and recovery of olfaction.

An aroma and lighting emitting system that includes a detachable aromatic substance container and an aroma warmer that uses a hollow heating element to heat a thermal conduction device inside a light-transmissive shell with light holes, which to heat aromatic substances of the detachable aromatic substance container for producing fragrance, and a light source which is inside the light-transmissive shell with light holes can emit light through the shell and light holes to provide a lighting effect, and to further release lighting and fragrance in a space to create a result of a visual-active and olfactory-active atmosphere within an environment.

Exemplary olfactory delivery scaffolds may include 1) an olfactory targeting component, stimulant, or odorant that is recognized by the olfactory nerves via, for example, a smell response, 2) a molecule with biological activity, a therapeutic component, and / or drug (sometimes collectively referred to herein as a “therapeutic component”), and 3) a linker component that links the olfactory targeting component and therapeutic component together. The olfactory delivery scaffolds may be used to deliver a molecule with biological activity and / or a therapeutic component to a subject's neurological system through the olfactory pathway and pharmaceutical compositions useful in the treatment of neurological and / or neurodegenerative diseases.

The utility model belongs to the technical field of humanoid robots, and particularly relates to a two-degree-of-freedom humanoid robot head sensing system which comprises a movement assembly (1) located at the bottom. The sensing assembly (2) is arranged above the motion assembly (1) and comprises a visual module, an auditory module and an olfactory module; and the calculation and interaction assembly (3) is connected with the sensing assembly (2) and is used for performing calculation processing on the external environment information received by the sensing assembly (2) and making feedback to the outside so as to realize communication and interaction between the humanoid robot and human beings. According to the head sensing system, turnover and pitching motion of a humanoid robot sensing head can be achieved, and the neck of a human is highly simulated; the sensing head system has a multi-dimensional sensing function, so that the humanoid robot has visual, auditory and olfactory functions, richer external environment information is provided for the whole humanoid robot system, and the environmental adaptability of the humanoid robot is improved.