357 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 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 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.

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 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 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.

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.

A system is provided.SOLUTION: A system comprising: means for a user to create and log into an account; means for a terminal to send a request for olfactory data; means for a server to generate, encode and deliver olfactory data; means for the terminal to decode received olfactory data and send control signals to an olfactory device; and means for the olfactory device to generate and provide a specified scent to the user.SELECTED DRAWING: Figure 1

Embodiments of the present application provide a method, device, medium, equipment and product for classifying wine samples, relating to the technical field of artificial intelligence. The method comprises: contacting odor molecules of a wine sample with at least one recombinant cell expressing an olfactory receptor and a reporter protein, the reporter protein generating a detectable signal after the receptor binds to the odor molecules; obtaining time series data of the signal, calculating the maximum value and baseline value thereof, and determining a response characteristic value of each olfactory receptor according to the same; and inputting the characteristic value into a trained machine learning model to obtain a wine sample classification result. The present method accurately extracts a stable characteristic value of the response of an olfactory receptor to a wine sample, thereby eliminating interference caused by initial value fluctuations and improving the accuracy of model classification.

There is provided a technique of computerized substituting an odor item of interest in a formula of a smell. The method comprises: generating for a given inventory of odor items a dataset informative, at least, of similarity of the pairs of odor items of interest with other odor in the inventory; processing data in the generated dataset to reveal one or more odor items meeting one or more similarity criteria, thereby generating one or more candidate odor items; and applying to the one or more generated candidate odor items an optimization algorithm to find, among them, a candidate odor item with the best fit to the formula of the smell. The resulting odor item is usable for substituting the odor item of interest in the formula of the smell. Similarity labels in the dataset can be provided with the help of a plurality of labeling functions applied to the pairs of odor items.

The invention discloses an olfactory function detection kit and an olfactory scoring method, and the olfactory function detection kit is characterized in that six flavors of garlic, bromhidrosis, vinegar, lemon, fennel and mint are prepared into solid olfactory elements, and the solid olfactory elements are small in volatility, easy to store, strong in durability and simple to prepare. On the basis of clinical research on normal people and people with abnormal olfaction, a set of adaptive calculation formula is integrated, operation and calculation are more convenient, specificity and sensitivity are both improved, and compared with a conventional olfaction detection method, clinical working efficiency is improved, preparation is more convenient, storage is convenient, cost is low, and the method is more suitable for evaluation of olfaction functions of Chinese people. The detection kit provided by the invention has good detection performance and clinical applicability, and can effectively improve the detection accuracy.

The application discloses a sensor with a bionic olfactory positioning function, comprising a gate electrode, a dielectric layer and an electrode; the dielectric layer is arranged between the gate electrode and the electrode; and the dielectric layer comprises a porous structure zwitterionic polymer film. Through the combination of the high sensitivity of the sensor to dimethyl carbonate (DMC) and the application method, accurate positioning of a DMC leakage position is realized, and meanwhile, the sensor has the characteristics of high sensitivity, durability and excellent intelligent bionic positioning, and overcomes the positioning function that traditional sensors do not have.

The utility model provides an olfaction experiment master control box which comprises a main machine shell, an air outlet valve, an air inlet valve and a processing circuit, the air outlet valve, the air inlet valve and the processing circuit are arranged on the main machine shell, the processing circuit is electrically connected with the air inlet valve and the air outlet valve, and the air outlet valve and the air inlet valve are used for being connected into an odor supply air path. The air inlet valve and the air outlet valve are integrated in the main machine shell, the integration degree is improved, and the occupied space is reduced. And the valves, electronic devices and other components are integrated into a whole, so that the valves and the electronic devices can be transported together.

The invention discloses a method for analyzing aroma components of cooking wine based on molecular docking and an odor activity value and application. According to the method, cooking wine aroma is taken as a research object, volatile substances are detected by gas chromatography-mass spectrometry (GC-MS) and headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS), and by combining with odor activity value (OAV) analysis, the combining capacity of aroma molecules and olfactory receptors is simulated through molecular docking, characteristic aroma compounds are screened, and the aroma of the cooking wine is detected. And finally, constructing a recombinant aroma model according to the characteristic aroma compounds, carrying out sensory evaluation, and evaluating the aroma similarity of the recombinant aroma model and the natural cooking wine sample to determine the characteristic aroma components of the cooking wine. The method can be used for analyzing aroma substances of cooking wine and performing standardized flavor management.

This invention discloses an olfactory electrostimulation model for automatically generating current stimulation signals for an artificial nose, relating to the technical field of olfactory stimulation signal generation using biomimetic neural networks. The implementation steps include: First, constructing a biomimetic neural network framework. Based on the neuronal anatomical structure of the olfactory epithelium and olfactory bulb system, extracting the main neuron types, and organizing them according to their connection methods in biological systems; Second, using the Hindmarsh-Rose neuron model to model various neurons in the constructed network and simulate their dynamic firing behavior; Subsequently, setting the connection weights between neurons and the interlayer transmission current to realize the computational model of the entire biomimetic neural network; Finally, in the odor encoding and stimulation signal generation stage, the odor detection curve of the electronic nose is used as an external stimulus input to the biomimetic neural network. The network calculates and generates a series of peak signals, which are output as current stimulation signals to the olfactory bulb for stimulation, thereby realizing the olfactory induction function of the artificial nose.

An augmented reality (AR) laboratory system provides scent-based feedback synchronized with visual augmentations of chemical experiments. The system utilizes a video see-through AR display device to capture real laboratory settings, overlaying virtual chemical substances and reactions onto a physical lab vessel analog. The vessel incorporates an olfactory output module, including a miniature fan and scent reservoir, emitting fragrances representative of virtual chemicals or reaction byproducts. A machine-readable marker affixed to the vessel enables precise tracking and identification by the AR device, allowing the processor to retrieve corresponding reaction data. When a user conducts virtual chemical experiments, such as mixing compounds, the system dynamically generates realistic visual simulations and simultaneously triggers accurate scent emissions (e.g., odors of acids or organic solvents) matched to the visual events. By engaging the user's olfactory sense alongside visual cues, this AR chemistry system significantly enhances educational immersion without exposing users to hazardous substances.

This invention provides an emergency bionic robot collaborative method and multimodal rescue system with task and state collaborative perception, relating to the field of emergency bionic robot technology. It acquires environmental perception data streams through multi-source sensing acquisition devices deployed on each robot body in an emergency bionic robot cluster, covering panoramic vision, terrain stiffness distribution, gas composition concentration, and sound wave spectrum data. Each type of data stream is processed to obtain feature segments, and then visual and tactile, olfactory and auditory related segments are spatially superimposed to generate a collaborative scene map. The collaborative scene map undergoes physical field state interference deduction and cross-map temporal correlation fusion to generate a global collaborative perception situational deduction map. Based on this global collaborative perception situational deduction map, the coordinates of the disaster spread source, the leading edge of the spread path, and the robot's pose and state information are determined, generating a distributed rescue collaborative instruction set to achieve efficient robot collaborative rescue.

The invention belongs to the technical field of sulfur hexafluoride leakage detection, and relates to a biological detection method for sulfur hexafluoride leakage based on odorous dogs and GIS space positioning. Comprising the following steps: step 1, selecting dogs and performing special training; selecting dogs with high olfactory sensitivity, taking SF6 gas or equipment operation gas as a target smell source, establishing conditioned reflex through smell-reward training, and inhibiting interference on oil smell and dust; step 2, preparation before field detection; a ventilation system is closed to stabilize the smell, an anti-puncture sheath is arranged for the dog, and a tractor wears high-voltage protective clothing to ensure that the equipment is grounded; step 3, grading detection and accurate positioning; a dog census GIS equipment in a zigzag path, marks a suspicious area through warning, then sniffs key points such as a flange and an insulator in a close range, and remeasures and confirms a leakage point in combination with a portable leak detector. According to the invention, by using the advantages of sensitive smell and strong maneuverability of the odorous dog, the SF6 gas leakage of the GIS / GIL equipment can be quickly, efficiently and accurately positioned.

The invention discloses a flavor modifier, atomized essence and an aerosol generating device, and relates to the technical field of essence. According to the technical scheme, the flavor modifier comprises an active agent, a compound containing a phenolic hydroxyl group and-O-beta-D-glucosidic bond or a compound containing an alcoholic hydroxyl group and-O-beta-D-glucosidic bond is selected as the active agent, and the flavor modifier can be weakly combined with a Piezo channel in a trigeminal nerve to directly modulate a trigeminal nerve mechanoreceptor, so that the flavor of the trigeminal nerve is improved. The activity of the Piezo channel is inhibited, so that the sensitivity of the Piezo channel to mechanical friction of aerosol particles is reduced, and the nasal cavity roughness is reduced. Meanwhile, the flavor modifier disclosed by the invention can also cooperate with olfactory signals transmitted by other components in the atomized essence to jointly improve the smoothness, the fineness and the overall moist feeling of the fragrance.

The invention belongs to the technical field of agricultural product quality nondestructive testing, and relates to a food freshness intelligent monitoring device and method based on olfactory visualization. The device takes an olfaction visualization technology as a core, combines a deep learning algorithm and an Internet of Things technology, and mainly comprises portable detection equipment and an intelligent management cloud platform based on the Internet of Things; wherein the portable detection equipment adopts a main control-edge computing-sensing terminal three-stage heterogeneous framework, and a separated sample reaction chamber is designed, so that real-time acquisition of images of the olfactory sensor is realized. In the monitoring process, firstly, images before and after reaction of a sample and an olfactory sensor are collected, color difference extraction is carried out on the original images, an olfactory sensor data set is established, and a FousNet model is trained by utilizing the data set; and finally, accurately predicting the content of physicochemical indexes of the freshness of the food by utilizing a FousNet model, monitoring and evaluating the freshness of the food in real time, and providing technical support for intelligent management of the freshness of the food.