68 results about "Sensory Feedbacks" patented technology

The invention, which relates to the technical field of medical training, discloses a multi-sensory feedback fusion stroke rehabilitation exoskeleton robot training system comprising an exoskeleton robot main body, a multi-sensory feedback module, and a motion state monitoring module. By integrating a multi-sensory feedback module, a visual, auditory, tactile and motion state monitoring module and a central control module, multi-dimensional sensory stimulation and real-time data acquisition are realized when a patient is trained, and the central control module adapts parameters in the module according to the real-time motion precision of the patient and personalization. The strength and the type of multi-sensory feedback are dynamically adjusted, meanwhile, motion parameters of an exoskeleton robot body are controlled, a dynamic adjustment mechanism ensures pertinence and effectiveness of training, forward feedback is provided to strengthen a correct motion mode when the motion precision of a patient is high, and correction prompt is provided and assistance or resistance of the robot is adjusted when the motion deviation is large. Therefore, nerve function remodeling and motor ability recovery are effectively promoted.

The invention relates to a lower limb motor function recovery system and method based on a motor imagery brain-computer interface, and the system comprises a noninvasive electroencephalogram signal collection module which is used for collecting an electroencephalogram signal when a patient carries out a lower limb motor imagery task; the signal processing and intention recognition module is used for carrying out feature extraction and classification recognition on the collected electroencephalogram signals and outputting the motor imagery intention of the patient; the multi-sensory feedback module is used for providing multi-sensory feedback information including visual sense, auditory sense, tactile sense and proprioceptive sense for the patient; the lower limb rehabilitation training module is used for executing lower limb rehabilitation training actions corresponding to the motor imagery intention; the central control module is configured to receive the recognition result of the motor imagery intention and generate a control instruction according to the recognition result to drive the multi-sensory feedback module and the lower limb rehabilitation training module to work cooperatively. According to the system, a multi-sensory collaborative feedback mode is adopted to simulate multi-sensory interaction, and the identification degree and training compliance of a motor imagery task of a patient are improved.

Methods and systems for obtaining information regarding a scene using a display free body wearable computing device are disclosed. The method may include identifying a scope of interest in the scene as indicated by a user of the display free body wearable computing device via one or more user inputs. The method may also include obtaining an image capture plan to obtain a set of images depicting the scope of interest. The image capture plan may include, for example, a number of images, locations and fields of views of images of the set of images, a motion plan, and / or any other information. The method may also include actively guiding movement of the user by providing sensory feedback while the user performs the image capture plan.

This invention discloses an emotional intervention system integrating multi-sensory feedback, relating to the field of emotional intervention technology, and includes the following steps: S1, scene library construction; S2, scene-based preference collection; S3, personalized intervention scene generation; S4, real-time dynamic adjustment. This invention realizes the transformation of intervention content from standardized output to personalized customization. Based on a preference adaptation mechanism of children's autonomous feedback, it can accurately capture each child's unique interests, making the intervention content more aligned with their cognitive habits and emotional needs. This helps to stimulate children's active participation in the intervention process, reducing resistance. Furthermore, it achieves dynamic adaptation between the intervention content and the child's real-time state, enabling timely responses to fluctuations in children's attention and emotional changes during the intervention process. This avoids guidance failure due to rigid content, ensuring the intervention content remains attractive to children, thereby helping to maintain their focused attention.

The invention relates to the technical field of virtual reality, in particular to a traditional Chinese medicine pediatric acupuncture training system combined with virtual reality guidance, which comprises a virtual behavior generation module, a feedback module, an evaluation module and a guidance module. By simulating the physiological behavior of a pediatric child patient, providing sensory feedback, quantitatively evaluating the operation technique in real time and guiding the dialectical diagnosis and treatment process, high-simulation pediatric acupuncture skill training is achieved, and the clinical pertinence of training is effectively improved.

The invention provides a hand function rehabilitation training system and method integrating multi-sensory feedback and virtual-real interaction, and belongs to the field of rehabilitation medical instruments and the technical field of virtual reality. The system comprises a wearable rehabilitation manipulator end, a virtual interaction end and a multi-sensory feedback end; the wearable rehabilitation manipulator end comprises a manipulator exoskeleton, a myoelectricity recognition module and a control module; the virtual interaction end generates a rehabilitation training action instruction and a virtual task scene, and guides a patient to execute a rehabilitation training task; and when the multi-sensory feedback end and the virtual interaction end perform task interaction, a multi-modal feedback chain of somatosensory, visual and tactile sense is synchronously triggered. According to the hand function rehabilitation training system and method integrating multi-sensory feedback and virtual-real interaction, the problems that an existing rehabilitation training system is high in passivity, single in feedback and high in delay are solved.

A method includes receiving an input from a user to initiate a camera of a computing device to capture an image of an environment. The method further includes detecting an object of interest in the environment. The method further includes providing sensory feedback to guide the user to position the computing device so that the object becomes positioned within a viewfinder of the camera. The method further includes, when the object is positioned within the viewfinder of the camera, determining an angle difference between the object and the camera. The method further includes, based on the angle difference being greater than a threshold angle, providing additional sensory feedback to guide the user to reduce the angle difference. The method further includes when the angle difference is less than the threshold angle, initiating capture of an image of the object.

The application discloses a kind of sports dance training rhythm synchronism quantitative analysis and feedback method, it is related to sports dance training data analysis technical field, comprising the following steps: training data multimodal acquisition, 12 camera 16 key joint data are collected, 48kHz directional microphone audio is collected, wrist heart rate instrument is collected heart rate;Preprocessing, action data filter noise completion is removed exception, audio is extracted feature and is removed noise, heart rate is smoothed, unified time sequence;Rhythm characteristic bidirectional extraction, audio is extracted beat cycle and stress, action is extracted force and action cycle;Synchronism quantization, calculate time difference, sequence consistency, identify synchronism decline section;Analysis result, grade, mark weak link, calculate progress amplitude;Generation feedback, AR and voice prompt, adjust plan and push APP.This method solves the problem of traditional training synchronism subjective fuzzy;Real-time multi-sensory feedback helps immediate adjustment, individualized report and plan fit demand.

A wearable device for providing sensory feedback in an extended reality environment is disclosed. The device includes a band configured to enclose an anatomical location, such as a wrist, adjacent to a distal extremity, such as a hand. The band houses a plurality of electrodes that deliver transcutaneous electrical nerve stimulation (TENS) to the distal extremity, eliciting distally referred sensations corresponding to the user's interaction with a digital object. A controller receives sensor signals indicative of movement of the distal extremity, determines the user's motor intent, and generates a sensory feedback signal to control the delivery of TENS pulses. The device allows for anatomically congruent sensory feedback in augmented reality environments without inhibiting natural interactions with physical objects.

An anti-vaping apparatus including a vaping body including a battery, a cartridge configured to store an e-liquid therein and generate a vapor from the e-liquid to a user in response to an activation of the anti-vaping apparatus, and a feedback unit configured to provide a sensory feedback to the user in response to the activation of the anti-vaping apparatus.

A system and method for identifying filler speech and providing real-time feedback to a speaker for correction. The system receives a live audio signal from a user's speech, analyzes the audio signal for filler speech, authenticates the identity of the speaker, and, if filler speech is detected from an authenticated user, provides subtle sensory feedback to make the speaker aware of this behavior so that it can be corrected in real time, with the added benefit of helping the speaker improve their speech behavior by eliminating the use of filler speech.

The invention discloses a multi-sensory virtual reality equipment control method and a multi-sensory virtual reality mask, and belongs to the technical field of virtual reality, a synchronization time window of a current period is constructed according to multi-sensory instructions which are received in the current period and have the same timestamp, and the synchronization time window of the current period is constructed based on the receiving time of the multi-sensory instructions at a multi-sensory virtual reality equipment end. Calculating the expected sensing time of each sensory feedback module in the current period according to the current sensing time of each sensory feedback module and the internal predicted delay time and subjective compensation time of each sensory feedback module in the current period, and fusing the expected sensing time of each sensory feedback module in the current period to obtain a target common sensing time of the current period; therefore, when the target common sensing moment of the current period is in the synchronization time window, the execution starting moment of each sensory feedback module is calculated based on the target common sensing moment of the current period, and the corresponding sensory feedback module is triggered at the execution starting moment of each sensory feedback module, so that multi-sensory synchronous feedback is realized.

An aspect of this invention relates to a method for controlling motion of a climbing robot comprising the steps of receiving high-level commands; receiving sensory feedbacks comprising roll angle data; generating basic locomotion pattern signals based on received high-level commands; amplifying the generated basic locomotion pattern signals based on received high-level commands; adapting the basic locomotion pattern signals to obtain adaptation commands; generating motor commands based on received high-level commands, obtained adaptation command, and amplified basic locomotion pattern signals to drive a plurality of joint motors of the robot; and generating electromagnet activate signals based on received high-level commands and generated basic locomotion pattern signals. Another aspect of the invention relates to a system for controlling motion of the climbing robot, which comprises a sensory preprocessing module, a central pattern generator, a velocity regulating module, an adaptation module, a joint motor angle determine module, and an electromagnet activate module.

The invention discloses a body feeling myoelectricity artificial hand system fusing myoelectricity enhanced decoding and bionic electrical stimulation feedback. The system comprises a myoelectricity bracelet, a main controller, an electrical stimulator and an artificial hand. According to the system, an electromyographic bracelet is used for collecting residual limb side electromyographic signals, a main controller removes electrical stimulation artifacts in the signals in real time through a comb filtering and self-adaptive filtering series algorithm, gesture intentions are recognized online through a self-updating multi-class LDA algorithm, and the prosthetic hand is driven to execute corresponding actions. According to the system, a closed-loop feedback mechanism based on a muscle shuttle sensing model is constructed, the muscle shuttle sensing model simulates neural coding characteristics of a human body muscle shuttle, the real-time stroke of a micro servo electric cylinder of the prosthetic hand and stress information of a torque sensor are mapped into electrical stimulation frequency and voltage parameters respectively, and an electrical stimulator is controlled to apply bionic stimulation to the stump. According to the invention, closed-loop control of myoelectricity intention recognition, artificial limb action execution, state detection and electrical stimulation feedback is realized, the problems of lack of sensory feedback, serious electrical stimulation signal interference and the like of the existing myoelectricity artificial limb are effectively solved, a patient is helped to reconstruct ontology perception, and the accuracy and naturalness of artificial limb control are improved.

The present invention relates to a rotating vessel assembly (100) for automatic cooking machine. The rotating vessel assembly (100) comprises of a vessel (1) that is secure over a base unit (5). The vessel (1) includes a mixing blade (6) which is centrally positioned within the vessel (1). Further, the rotating vessel assembly (100) include a coil spring arrangement (2) that is configured to provide controlled rotation to the vessel (1). Additionally, the vessel (1) is dismantled from the base unit (5) by rotating the vessel (1) clockwise with an application of pre-defined force. Also, the vessel (1) rotates in both x and y axis for providing a uniform distribution of ingredients and heat. Further, a set of digital sensors are present in the rotating vessel assembly (100) for providing sensory feedback to a control unit of the automatic cooking machine.

The application discloses a multi-sensory virtual reality device control method and a multi-sensory virtual reality mask, and belongs to the technical field of virtual reality. The method comprises the following steps: constructing a synchronous time window of a current period according to multi-sensory instructions with the same time stamp received in the current period; calculating expected perception time of each sensory feedback module in the current period based on the receiving time of the multi-sensory instructions at the multi-sensory virtual reality device end, the internal expected delay time and the subjective compensation time of each sensory feedback module in the current period; fusing the expected perception time of each sensory feedback module in the current period to obtain a target common perception time of the current period; calculating the starting execution time of each sensory feedback module based on the target common perception time of the current period when the target common perception time of the current period is in the synchronous time window; and triggering the corresponding sensory feedback module at the starting execution time of each sensory feedback module, so as to realize the synchronous feedback of multi-sensory.

The application discloses a kind of based on sensing feedback's silk extrusion control method and system, the method includes: when target silk extrusion equipment works, the multiple regional sensing information of the target silk extrusion equipment is obtained by sensor;According to the multiple regional sensing information, the link sensing information corresponding to the multiple work links of the target silk extrusion equipment is calculated;According to the link sensing information, and the corresponding relationship of preset sensing information and defect, the corresponding work defect condition of the target silk extrusion equipment is determined;According to the work defect condition, and the corresponding relationship of preset condition and control parameter strategy, the control instruction of at least one equipment component of the target silk extrusion equipment is determined;The control instruction is used to control corresponding equipment component to reduce or solve the work defect condition. Visible, the application can be based on sensing information real-time and comprehensively monitor the work condition of silk extrusion equipment and promptly correct defect, to improve the utilization rate of silk extrusion equipment to consumable and extrusion quality, realize more green and environmental protection's waste recovery work.

The invention relates to the technical field of virtual reality interaction, in particular to a traditional culture digital output and interaction method and system based on the virtual reality technology, and the method comprises the steps: obtaining cultural relic three-dimensional data, a historical literature text and a non-genetic technological process sequence, and constructing a multi-modal traditional culture knowledge graph; collecting user interaction data based on multiple sensors, and performing denoising normalization processing through a noise index optimization algorithm; dynamically identifying the culture operation intention and the emotional tendency of the user according to the user interaction data after the knowledge graph analysis processing; and generating a self-adaptive cultural context according to the intention and emotion of the user, and outputting multi-sensory feedback content. Through multi-modal data fusion, accurate intention recognition and self-adaptive output mechanisms, intelligence and individuation of traditional culture digital interaction are realized, the sense of reality and immersion of user experience are remarkably improved, and meanwhile, the labor cost and the error risk are reduced.

The present invention concerns a system for locating an organ wall defect or the origin of an anastomotic / suture line leak during or after surgery, in a positive pressurized body cavity. Said system (1) mainly comprises i) a handheld body or part or housing (2) which is connected to a gas intake or delivery line (3) allowing gas to flow through it from its free tip (3') and is intended to be inserted into the body cavity and being moved around inside it, ii) a measurement unit (4) comprising at least one sensor means (5) able to measure at least one gas property and which preferably also comprises, or is associated or working with, at least some computational means (5') and / or advantageously sensory feedback means (5''), and iii) a back gas line or second gas delivery tube (6) which connects the exit of the measurement unit (4) to the body cavity (BC), the system (1) thus providing a continuous gas flow loop between the body cavity and the measurement unit (4), with said back line allowing advantageously equalization of the gas pressure / flow between the inlet and the outlet of said measurement unit (4).

The application provides a kind of first-aid treatment training simulation clothes sensing feedback method and system, it is related to sensing feedback technical field, including: when starting simulation training, the time sequence information of personnel to be trained is acquired when operating by treatment unit array, the time sequence information of label unit scheduling is acquired by label unit array;Obtain standard operation time sequence information and standard scheduling time sequence information;Process the time sequence information of personnel to be trained and standard operation time sequence information, obtain operation deviation time and abnormal operation type;Compare standard scheduling time sequence information and label unit scheduling time sequence information, obtain scheduling deviation time and abnormal prop type;Operation deviation time and abnormal operation type and scheduling deviation time and abnormal prop type are fed back to personnel to be trained client.The application solves the technical problem that traditional first-aid treatment training mainly relies on training simulation man or real person simulation, usually cannot provide real-time, accurate operation feedback, resulting in insufficient training effect.

The invention relates to the technical field of medical instruments, and discloses a drug jet flow real-time adjusting method using sensing feedback, and the method comprises the following steps: collecting target region drug concentration, target region tissue pressure and jet flow velocity in real time; determining a current tissue state based on a timing correlation between the rate of change of the concentration and the pressure; according to the organization state, dynamically selecting from a concentration priority strategy and a safety pulse strategy, and calculating an expected flow rate; then, through a dynamic correlation model which can be updated on line, target pressure is predicted based on the expected flow velocity; finally, according to whether the predicted pressure meets a predictive safety margin threshold, arbitrating the expected flow rate to generate and execute a final adjustment instruction; and closed-loop adjustment is realized through cyclic feedback. The problems of hysteresis and single strategy of a traditional adjusting method are solved, the intelligence of adjustment is improved through state recognition and strategy switching, and the dynamic adaptive capacity and safety of the drug administration process are enhanced.

This invention discloses a knowledge graph-based method and system for robot target recognition and localization, belonging to the field of robot vision and intelligent grasping technology. The method includes: constructing a multi-dimensional knowledge graph containing entities such as objects, tasks, and grasping / localization parameters; collecting and preprocessing multimodal perception data; encoding knowledge subgraphs using GraphSAGE; fusing semantic, visual, and contact features through a three-level cascaded attention mechanism to complete recognition and localization; verifying and calibrating pose based on multi-sensory feedback closed-loop; and iteratively updating the knowledge graph. The system includes modules for multimodal perception acquisition, knowledge graph management, and knowledge fusion recognition and localization. This invention achieves deep knowledge fusion, improving recognition and localization accuracy and robustness. It addresses complex environmental interference through closed-loop calibration, achieves system self-evolution through knowledge iteration, and can be deployed on various robots, suitable for high-precision, high-requirement, and complex scenarios.

The invention discloses a cultural heritage digital reproduction display method and system, and relates to the technical field of cultural protection. Comprising the following steps: acquiring multi-modal original data and historical background information, extracting standardized feature parameters and constructing an association mapping rule, constructing a three-dimensional dynamic animation scene and binding to generate a multi-sensory collaborative interaction model, acquiring user personalized sensory sensitivity data and calibrating model output parameters, and when interactive operation is detected, triggering the model to output multi-sensory feedback, collecting feedback data, evaluating and iteratively optimizing the model. Through multi-modal data acquisition, three-dimensional dynamic animation scene construction and multi-sense collaborative interaction, the limitation of traditional visual single display is broken through, the user can perceive the characteristics and connotation of the cultural heritage through multiple dimensions of vision, listening, touching and smelling, the emotional resonance and cognition depth of the user to the cultural heritage are enhanced, and the user experience is improved. The problems of inaccurate cultural information transmission and weak experience in traditional display are effectively solved, and active inheritance of cultural heritage is assisted.

This invention primarily relates to the field of alcoholic beverage analysis technology. To address the lack of systematic data support for blending spirits in existing technologies, it provides a method and system for constructing a spirits blending database. First, the compound content of individual spirits is measured, and aroma activity values ​​are calculated using thresholds to form chemical fingerprint data. Then, PTR-MS is used to detect the dynamic volatilization trend of flavor compounds. Simultaneously, sensory feedback data from consumers is collected and correlated with consumer profile data to construct a three-dimensional database of chemical fingerprint, dynamic volatilization, and sensory evaluation for individual spirits. Next, two or more spirits are selected from the individual spirits and blended in different proportions to obtain chemical fingerprint data, dynamic volatilization data, and sensory feedback data for the blended samples. The proportioning information of the blended samples is integrated with the above three types of data to establish a blending database that correlates raw material formulations with multi-dimensional flavor characteristics, providing data support for blending.

The present application belongs to the technical field of bioelectric signal processing and control, and specifically relates to a non-stationary signal codec-free adaptive control method based on a neuromorphic device. The present application directly feeds the collected non-stationary bioelectric signal as a physical excitation into the neuromorphic hardware; by using the transient amplitude-frequency characteristics of the input signal, the dynamic evolution of the synaptic weight is induced through the bottom-layer pulse time-dependent plasticity, and the action pulse is triggered to drive the external physical actuator; the action of the external physical actuator causes natural sensory feedback, promotes the spontaneous remodeling of the power spectral density and phase-amplitude coupling index of the bioelectric signal, and then reversely guides the spontaneous attenuation and convergence of the hardware weight to the optimal steady state. The present application overturns the traditional closed-loop control paradigm of "analog-digital conversion-software algorithm decoding-feature matching", and can realize the adaptive closed-loop driving of complex signals without artificial algorithm code, thereby providing a new physical-level methodology for bionic control and bio-mechatronic adaptive interaction.

The invention relates to the technical field of artificial intelligence, and discloses an interaction control method based on a spiking neural network, which comprises the following steps: acquiring a multi-modal signal, and preprocessing the multi-modal signal to generate a multi-modal data set; inputting the multi-modal data set into a pulse neural network, and outputting a motion execution instruction and a user intention feature; inputting the multi-modal data set into a pulse convolution capsule network, and outputting an emotion classification result; generating a multi-modal feedback strategy according to an emotion classification result and the user intention features through a pulse reinforcement learning engine; and controlling a robot and / or a mechanical arm to execute actions based on the motion execution instruction, and driving a virtual avatar module and a multi-sensory feedback module to execute an emotional operation in combination with a multi-modal feedback strategy. According to the method, EEG signals and robot sensor data are fused through the pulse neural network, emotion recognition, driving virtual avatar and multi-mode interaction are achieved, and high-emotional and low-burden accompanying experience is provided for the disabled and the like.

Methods, computer-readable storage devices, and systems are described for reducing movement of a patient undergoing a magnetic resonance imaging (MRI) scan. One method includes receiving a data frame from the MRI system performing the MRI scan of the patient, comparing the data frame to a reference image to assess motion of a body part of the patient during the MRI scan, generating stimulus to be communicated to the patient during the MRI scan based on a task of the MRI scan and the motion of the body part of the patient during the MRI scan, adjusting the stimulus during the MRI scan to adjust the task and as the motion of the body part of the patient changes, and communicating the stimulus to the patient during the MRI scan, wherein the sensory feedback includes at least one of a game, a movie, a cartoon, a shape, or an auditory signal.

A learning assistance system based on multi-sensory feedback relates to the technical field of teaching assistance systems, and comprises a sensing feedback terminal used for collecting multi-source state data of a user during reading / learning in real time; the control module is used for uploading the multi-source state data to the cloud processing server; the cloud processing server is used for analyzing the multi-source state data, identifying the current reading / learning process of the user, matching a corresponding multi-sensory intervention strategy based on an identification result and returning the multi-sensory intervention strategy to the control module; the control module drives the perception feedback terminal to perform real-time interaction with the user through one or more combination forms of visual sense, auditory sense, tactile sense and smell sense based on a multi-sensory intervention strategy so as to dynamically adjust the reading / learning process of the user; the method is used for solving the problems that an existing learning auxiliary means is single in interaction mode and cannot effectively deal with attention distraction and cognitive fatigue of a user.

The invention relates to an AR (Augmented Reality) travel scenic spot five-sense immersive guide interaction system. The system comprises an environment state sensing module which is used for acquiring geographic space signals and visual scene signals around a user in real time; the user state sensing module collects biological characteristic signals and behavior posture signals of a user in real time; the intelligent content generation module receives the geographic space signal, the visual scene signal, the biological characteristic signal and the behavior posture signal, and performs fusion calculation through a preset emotion calculation model and a context perception model; the multi-mode sensory feedback driving module receives the immersive plot control signal and synchronously generates a corresponding physical stimulation signal; and the central cooperative control module coordinates the synchronous time sequence of the data flow and the control flow among the modules, and provides a plot script configuration signal and a sensory linkage logic signal for the intelligent content generation module. The AR travel scenic area five-sense immersive guide interaction system can solve the problems that an existing AR guide system is single in experience and lacks immersion and emotional resonance.