11 results about "Sweat pore" patented technology

The application discloses an OCT fingerprint recognition method based on a three-dimensional convolutional neural network, which comprises the following steps: obtaining OCT three-dimensional fingerprint data of a reference fingerprint and a fingerprint to be detected, and the OCT three-dimensional fingerprint data of the reference fingerprint and the fingerprint to be detected respectively contain one sweat gland and one sweat gland; the OCT fingerprint recognition method based on the three-dimensional convolutional neural network takes the three-dimensional data with the sweat gland as the center as the input of the recognition model, compared with the traditional two-dimensional epidermal pore recognition method, not only the feature information of the plane dimension is contained, but also the depth dimension information is increased, the three-dimensional morphological characteristics such as the spiral structure of the sweat gland are completely presented, these multi-dimensional three-dimensional data can provide more detailed and unique biological feature identification, and the distinguishing degree and the accuracy of the fingerprint recognition are effectively improved; meanwhile, the method can keep stable recognition performance under harsh conditions based on the three-dimensional data with the sweat gland as the center, and then the fingerprint anti-counterfeiting capability is significantly improved, and the false fingerprint attack can be effectively resisted.

To provide a finger protection sack capable of protecting the entire circumference of the tip of a finger and preventing injury when the finger is caught between members during steel tower assembly work or the like. [Solution] These are aluminum finger protection sacks 1A-1E that are fitted onto the tip of a finger and then put on with gloves. They fit loosely to cover the entire tip area of ​​the target finger up to the first joint, and are equipped with a cylindrical main body 2 and a dome-shaped top portion 3 that is continuous with the front opening of the main body and closes the front end opening. A sweat vent hole with a diameter of 5-6 mm is formed in the center of the top portion so that the tip of the finger does not protrude, and an anti-slip area 5 with a flare knurling finish is equipped on the entire surface area of ​​the main body near the rear end opening.

The utility model relates to the technical field of fitness equipment, and discloses a fitness equipment main body support which comprises a bottom plate, a sweat adsorption mechanism is fixedly installed above the bottom plate, vertical plates are fixedly installed on the two sides of the sweat adsorption mechanism, an aromatherapy mechanism is fixedly installed on the inner walls of the vertical plates, a fitness mechanism is fixedly installed above the vertical plates, and the fitness mechanism is fixedly installed above the vertical plates. The mounting plate is mounted above the bottom plate, the suction frame and the sweat absorbing sponge are mounted in a penetrating manner through the mounting groove in one side of the mounting plate, sweat drops above the sweat absorbing sponge through the sweat inlet holes in the upper side of the mounting plate, the sweat is adsorbed through the sweat absorbing sponge, and therefore the situation that the sweat drops on the ground to generate peculiar smell is avoided; the distribution board is fixedly mounted on the inner wall of the vertical plate, the mounting frame is fixedly mounted on the outer wall of the distribution board, fragrance generated by the aromatherapy rods on the outer wall of the mounting frame is blown away through the sweat removal fan on the outer wall of the distribution board, sweat of the human body can be reduced through the sweat removal fan, the training and fitness environment is improved, and peculiar smell is reduced.

The present disclosure provides a cyanoacrylate polymer film forming solution and treatment for inhibiting sweat and enhancing grip performance. The solution includes a polymeric film-forming compound that, once the film is formed, dries the skin surface, blocks sweat pores to inhibit perspiration without leaving toxic by-products or heavy burden residues, and enhances grip performance by reducing slip and improving grip lines. The treatment includes a method of applying the cyanoacrylate polymer film forming solution to a desired location, rubbing the solution into the desired location, drying the solution, and repeating this process until a desired effect is achieved.

This application relates to the field of fingerprint recognition technology, and particularly to a fingerprint recognition method, device, electronic device, and storage medium. The method includes: responding to a user's pressing operation, obtaining a confidence level of the sweat pore detection result based on the sweat pore information of the original fingerprint image of the fingerprint to be identified, and obtaining a confidence level of the vein detection result based on the finger vein characteristics; generating a time-series detection result based on the first start time of the sweat pore detection and the second start time of the finger vein detection, and calculating a comprehensive confidence level by combining the confidence levels of the sweat pore detection result and the vein detection result, thereby determining whether the fingerprint to be identified is a live fingerprint. This solves the problems of related technologies relying on single physical features, difficulty in identifying highly realistic fake fingerprints, and lack of spatiotemporal consistency analysis methods. By integrating multimodal biometric signals such as sweat pore features, finger vein features, and time-series consistency verification for comprehensive discrimination, effective prevention of forged fingerprint attacks is achieved.

The invention discloses an OCT fingerprint identification method based on a three-dimensional convolutional neural network, and the method comprises the steps: obtaining the OCT three-dimensional fingerprint data of a reference fingerprint and a to-be-detected fingerprint, and enabling the OCT three-dimensional fingerprint data of the reference fingerprint and the to-be-detected fingerprint to respectively comprise a sweat gland and a sweat gland; according to the OCT fingerprint identification method based on the three-dimensional convolutional neural network, the three-dimensional data with the sweat gland as the center is used as the input of the identification model, compared with a traditional two-dimensional epidermal sweat pore identification method, feature information of a plane dimension is included, depth dimension information is increased, three-dimensional morphological features such as a spiral structure of the sweat gland are completely presented, and the identification accuracy of the OCT fingerprint identification method based on the three-dimensional convolutional neural network is improved. The multi-dimensional three-dimensional data can provide finer and more unique biological feature identification, and the discrimination and accuracy of fingerprint identification are effectively improved. Meanwhile, according to the method, identification is carried out based on three-dimensional data with sweat glands as the center, stable identification performance can be kept under severe conditions, the fingerprint anti-counterfeiting capability is further remarkably improved, and false fingerprint attacks are effectively resisted.

This invention discloses a human-machine symbiotic diagnostic and treatment system and method based on dynamic homeostasis modeling and confidence assessment of metabolic networks. The system adopts a six-layer architecture: the first layer generates initial data nodes with confidence and context; the second layer identifies dysfunctional modules, malignant loops, and system resilience scores; the third layer generates an intervention risk index and dynamically maps safety decision thresholds; the fourth layer plans the optimal information supplementation path; the fifth layer generates a structured scheme based on the principles of traditional Chinese medicine; and the sixth layer performs four mandatory checks on the scheme regarding stomach qi protection, bowel and bladder regulation, sweat pore opening and closing, and respiratory function. The system also includes a feedback learning and knowledge evolution module and an open collaborative research ecosystem, driving continuous system evolution through anonymized data sharing, community review, and contribution incentives. This invention completely abandons static knowledge bases, significantly reducing storage space and enabling real-time knowledge updates, pioneering a new paradigm of medical artificial intelligence characterized by "real-time synthesis, hierarchical control, human-machine symbiosis, and open evolution."

The invention provides an insole, a slipper and a boot, and relates to the technical field of footwear, the insole comprises a main body, the main body is provided with a plurality of perspiration holes penetrating up and down, and the perspiration holes are used for discharging sweat downwards. The slipper comprises a vamp arranged at the top of the body, and a plurality of vertically-through air holes are formed in the vamp and used for downwards leaking sweat. The boot comprises a body, the slippers are placed at the inner bottom of the body, and the anti-skid teeth abut against the inner bottom wall of the body. According to the insole, the slipper and the boot, the insole or the slipper which can be assembled and disassembled in the boot and the perspiration holes, the connecting grooves and the like in the insole or the slipper are utilized, so that sweat flows downwards, feet are not soaked, and the sweat can be conveniently and directly taken out of the boot to relax the feet.

The present invention discloses a finger sweat gland extraction method based on a deep compression neural network. The method first segments the OCT fingerprint volume data, and then inputs the resulting series of sub-blocks into a deep compression neural network. The method then passes through a continuous dilation deep compression module, utilizing dilated convolution to enhance the receptive field of the sweat glands and extract preliminary sweat gland features. A continuous basic deep compression module extracts refined sweat gland features. After random inactivation, the refined sweat gland features pass through a continuous convolution layer to output a sweat pore feature map. The sweat pore feature map is binarized to obtain a surface sweat pore image, and the surface sweat pore images corresponding to all sub-blocks are spliced ​​together to obtain a finger sweat pore map. The present invention can directly process raw OCT data. By extracting sweat gland features through the deep compression module, sweat glands are directly extracted from the raw OCT data without the need for denoising or mapping operations, and compressed to generate an accurate surface sweat pore image, thereby improving extraction accuracy and speed.

The embodiment of the invention discloses a wearable product testing device, which comprises a biological model, a bionic skin and a water tank module, the bionic skin is arranged on the surface of the biological model, the bionic skin comprises a uniform humidity layer and a second detection layer, the uniform humidity layer is used for uniformizing the surface humidity of the bionic skin, and the second detection layer is used for detecting the surface humidity of the bionic skin. The second detection layer is used for detecting the actual temperature value of the bionic skin surface, and the first side of each perspiration hole is connected to the moisture balancing layer; the water tank module is connected to the second side of the perspiration hole, and the second detection layer is in communication connection with the water tank module, so that the water tank module can adjust the water outlet state of the water tank module based on the deviation between the actual temperature value detected by the second detection layer and a first preset temperature value. Therefore, the diffusion process of sweat on the skin surface after the human skin sweats can be simulated. Therefore, the testing device can simulate the wearing state of the user in advance, and a basis is provided for design improvement of wearable products.

The utility model relates to clothing material technical field, concretely is a kind of breathable sweat-wicking fabric and the clothing made using the fabric of the utility model, including sweat-absorbing layer, the side of sweat-absorbing layer is fixed with porous layer, the side of porous layer away from sweat-absorbing layer is fixed with ventilation layer, sweat-absorbing layer is equipped with sweat guide line, and sweat guide line is used to absorb sweat on sweat-absorbing layer.The utility model is by setting sweat-absorbing layer in fabric inner layer, then using sweat guide line to guide sweat to quick drying part, wind can be made into perspiration hole by air guiding hole, to blow to quick drying part, to evaporate the sweat of quick drying part, the sweat on sweat-absorbing layer and sweat guide line can continue to spread to quick drying part, so that the sweat on fabric can be discharged faster.