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167 results about "Tactile perception" patented technology

Tactile perception, also called touch perception, is the brain’s ability to understand (perceive) information coming from the skin, particularly the skin on the hands.

Fatigue driving reminding device and method

InactiveCN111754729ASafe drivingHazard to life and property safetyCharacter and pattern recognitionAlarmsAuditory senseAuditory visual
The invention discloses a fatigue driving reminding device. The fatigue driving reminding device comprises a fatigue state detection assembly, a fatigue reminding interaction assembly and a communication assembly. The fatigue state detection assembly collects and processes an image of a driver and outputs driving characteristic information according to the image of the driver. The fatigue reminding interaction assembly is connected to the fatigue state detection assembly and generates fatigue level information according to the driving characteristic information. The communication assembly is connected with the fatigue reminding interaction assembly and a vehicle feedback assembly, the communication assembly sends fatigue level information generated by the fatigue reminding interaction assembly to the vehicle feedback assembly, and the vehicle feedback assembly gives a corresponding feedback prompt to the driver according to the fatigue level information. The vehicle feedback assembly is various original vehicle-mounted parts on a vehicle. The invention further discloses a fatigue driving reminding method. Various sensory stimuli including auditory sense, visual sense, smell sense and touch sense can be provided for relieving fatigue according to the real-time state of a driver.
Owner:SAIC VOLKSWAGEN AUTOMOTIVE CO LTD

Ultrasonic tactile feedback system and method for assisting blind person to perceive

The invention discloses an ultrasonic tactile feedback system and method for assisting a blind person to perceive. The ultrasonic tactile feedback system comprises a PC terminal for generating a focustime sequence; a microcontroller which stores focus information; an FPGA controller which completes conversion of the focus under different unit coordinate systems; an ultrasonic phased array which controls sound pressure distribution in a cavity surrounded by the ultrasonic phased array, and a plurality of tactile points or three-dimensional patterns are formed in space under the action of driving signals on each unit ultrasonic transducer, so that static and freely touchable aerial virtual braille points are realized; the transmitted and modulated ultrasonic waves at the focal point in a phase delay mode are focused according to the focal point coordinates, so that a person obtains tactile perception to indicate that the current gesture task is smoothly completed; and when the hand position capture sensor captures the identification position information, the PC terminal sends the next group of control signals to finish the real-time update and display of the information. Static braille information can be formed in space and can be quickly changed and switched in real time, and the blind can touch and sense the braille information in a non-contact mode.
Owner:XI AN JIAOTONG UNIV

Article classification and recovery method based on multi-modal active perception

ActiveCN111590611ARealize material identificationAccurate classificationGripping headsActive perceptionSignal on
The invention relates to an article classification and recovery method based on multi-modal active perception, and belongs to the technical field of robot application. The method comprises the steps that firstly, a target detection network model facing a target article is built, then a grabbing pose for grabbing the target article is obtained, and a mechanical arm system is guided to actively grabthe target article in a pinching mode according to the grabbing pose; the tail ends of fingers of a mechanical arm are provided with touch sensors, and touch signals on the surface of the target article can be obtained in real time while the target article is grabbed; and feature extraction is conducted on the obtained touch information, the feature information is input into a touch classifier for identifying the material of the article, and classification and recovery of the target article are completed. According to the article classification and recovery method based on multi-modal activeperception, visual and touch multi-modal information is utilized, a robot is guided to actively grab the target article in the most suitable pose through a visual detection result and collect the touch information, article material identification is achieved, and article classification and recovery are completed; and various recyclable articles made of different materials can be automatically identified, and high universality and practical significance are achieved.
Owner:北京具身智能科技有限公司

An objective evaluation method of texture roughness based on human tactile perception

ActiveCN109542224ATactile perception meetsThe evaluation results meetInput/output for user-computer interactionGraph readingTactile perceptionModel parameters
The invention discloses an objective evaluation method of texture roughness based on human tactile perception characteristics, which comprises the following steps: obtaining a standard texture samplewith known roughness level; By comparing the unknown texture samples with human subjective evaluation experiment, determining the human subjective roughness clustering level of unknown texture samples; collecting the interactive data of the unknown texture sample surface contact, and extracting the objective characteristic parameters; Support vector machine (SVM) algorithm is used to classify andtrain the unknown texture objective characteristic parameters, and the texture tactile roughness evaluation models are generated with the texture objective characteristic parameters and human subjective roughness clustering grade as input and output respectively, and the model parameters are obtained by training. The objective feature parameters of the texture to be evaluated are extracted and input to the model, and the human subjective roughness clustering grade is obtained. The invention simulates the cognitive habit of human beings, which is close to the real roughness evaluation process of human beings, and does not require the participation of a large number of experimenters, and has the characteristics of high efficiency, good stability of results and high accuracy.
Owner:SOUTHEAST UNIV
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