Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

34results about How to "Reduce individual differences" patented technology

Flow sensor and manufacturing method therefor

There is provided a flow sensor configured as described below. The flow sensor 11 is formed by bonding a sensor chip 12 formed with a flow rate detecting part 23 and a flow path forming member 15 that is provided on the sensor chip and is formed with a flow path for a fluid flowing in the flow rate detecting part to each other on the upper surface of a substrate 21. The flow path forming member is formed by bonding a transparent first flow path forming member 14 and a second flow path forming member 15 to each other. The first flow path forming member has a plate shape, and is provided with an inflow port 14c and a outflow port 14d for the fluid to be measured, and the second flow path forming member has a plate shape, and is provided with a through hole 15c that forms the flow path along the flow of the fluid flowing along.the flow rate detecting part. Both ends of the through hole communicate with the inflow port and the outflow port, and the flow rate detecting part is arranged in the through hole between the portions corresponding to the inflow port and the outflow port to form the flow path having a predetermined cross-sectional area, whereby the fabrication accuracy of the cross-sectional area of sensor flow path is enhanced, and thereby the flow rate detection accuracy is stabilized.
Owner:YAMATAKE HONEYWELL CO LTD

Electroencephalogram identification method and device

The invention provides an electroencephalogram identification method and a device. The electroencephalogram identification method comprises the following steps: firstly, forming a plurality of training sets by repeatedly extracting electroencephalogram samples from an original sample set; introducing a nuclear matrix for calculating a covariance matrix of electroencephalogram, thereby acquiring anaggregation space covariance matrix; decomposing characteristics and constructing a whitening matrix; utilizing the whitening matrix to convert the covariance matrix and performing characteristic decomposition, thereby acquiring a characteristic vector; constructing a space filter through the characteristic vector; extracting the characteristics of each electroencephalogram, thereby acquiring a classification model corresponding to a present training set; utilizing a plurality of classification models to confirm the category of to-be-classified electroencephalogram. According to the invention, the plurality of training sets is formed by repeatedly selecting the training samples, so that the individual difference of electroencephalograms can be effectively restrained and the characteristics with higher discriminability are extracted, so as to increase the recognition rate of electroencephalograms; and meanwhile, the nuclear matrix is introduced when the covariance matrix is calculated,so that the calculated amount can be reduced, the time consumption can be reduced and the treatment efficiency can be increased.
Owner:中科创达(重庆)汽车科技有限公司

Self-recovery device of detecting pipeline passage by diaphragm type blood withdrawal method

The invention relates to a passage detection device of an indwelling catheter, in particular to a self-recovery device of detecting a pipeline passage by a diaphragm type blood withdrawal method. Thedevice is characterized in that an elastic film is hermetically connected to a piston cylinder, and a cavity body in the piston cylinder is divided into two parts of space by the elastic film, whereinone part of the space is communicated between the indwelling catheter and a liquid source pipeline in a vein blood vessel, and the other part of the space provides a deformation space for the elasticfilm; the elastic film is connected with a driving connecting piece, the elastic film elastically deforms in the piston cylinder by pressing the driving connecting piece, negative pressure is formedbetween the indwelling catheter and the liquid source pipeline in the vein blood vessel, and whether blood flows back at the indwelling catheter or not is detected through the formed negative pressure; and the detected elastic film returns to an initial state after releasing the driving connecting piece. The device can be connected with the indwelling catheter for a long time, is used for checkingwhether the pipeline is unobstructed or not before infusion, reduces the individual difference problem of manual operation while simplifying the operation of withdrawing blood, and obviously improvesthe efficiency and quality of nursing operation of the indwelling catheter before infusion.
Owner:杨恚

Virtual reality video emotion recognition method and system based on time sequence characteristics

The invention belongs to the field of cross fusion of cognitive psychology, virtual reality technology and emotion continuous recognition, and relates to a virtual reality video emotion recognition method and system based on time sequence characteristics, and the method comprises the steps: building a virtual reality scene audio and video data set with a continuous emotion label; performing cross-normal-form data preprocessing on the virtual reality scene video to be identified; performing feature extraction on the preprocessed data, and extracting depth features from audio, visual, time sequence and physiological signals by using a deep learning network; training a single-mode virtual reality scene video emotion regression model, and fusing, generating and training a multi-mode emotion regression neural network model; and inputting a to-be-recognized virtual reality scene video into the multi-modal emotion regression neural network model, and outputting a continuous emotion regression result. According to the method, a new way can be provided for emotion evaluation of a virtual reality scene video on the basis of multi-modal features of time sequence, vision, audio and physiological signals, and continuous emotion recognition is efficiently and accurately performed.
Owner:SOUTH CHINA UNIV OF TECH

Linear vibrator and electronic equipment

The invention relates to the technical field of electronics, and discloses a linear vibrator and electronic equipment. The linear vibrator comprises a vibration assembly and an elastic piece assembly,the vibration assembly comprises: a stator, which comprises a first permanent magnet and a second permanent magnet which are oppositely arranged at an interval, wherein magnetic field N areas and magnetic field S areas of the first permanent magnet and the second permanent magnet are divided along diagonal lines and are oppositely arranged; a vibrator, which is an electromagnet and is arranged between the two permanent magnets; a circuit board, which is arranged on the electromagnet and is electrically connected with the electromagnet; and an elastic sheet assembly, which comprises a bottom plate and two bending sheets with at least two bending parts, wherein the two bending sheets are respectively connected to two opposite side edges of the bottom plate, the two bending sheets and the bottom plate enclose to form a vibrator assembly space, in which the vibrator is arranged. According to the linear vibrator, the situation that the two permanent magnets are damaged due to collision iseradicated, and the vibration performance of the linear vibrator is ensured; the elastic sheet assembly difference and the individual difference are reduced to a large extent, and the assembly simplicity can be improved while the vibration performance machining precision is effectively improved.
Owner:东莞汉特斯电子科技有限公司

Flow sensor and manufacturing method therefor

There is provided a flow sensor configured as described below. The flow sensor 11 is formed by bonding a sensor chip 12 formed with a flow rate detecting part 23 and a flow path forming member 15 that is provided on the sensor chip and is formed with a flow path for a fluid flowing in the flow rate detecting part to each other on the upper surface of a substrate 21. The flow path forming member is formed by bonding a transparent first flow path forming member 14 and a second flow path forming member 15 to each other. The first flow path forming member has a plate shape, and is provided with an inflow port 14c and a outflow port 14d for the fluid to be measured, and the second flow path forming member has a plate shape, and is provided with a through hole 15c that forms the flow path alongthe flow of the fluid flowing along.the flow rate detecting part. Both ends of the through hole communicate with the inflow port and the outflow port, and the flow rate detecting part is arranged in the through hole between the portions corresponding to the inflow port and the outflow port to form the flow path having a predetermined cross-sectional area, whereby the fabrication accuracy of the cross-sectional area of sensor flow path is enhanced, and thereby the flow rate detection accuracy is stabilized.
Owner:YAMATAKE HONEYWELL CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products