1732 results about "Body surface" patented technology

An in vitro training method for training genioglossus muscle strength includes adhering an electrode patch of an in vitro training device to a bottom of a chin of a user during a non-sleep period. The electrode patch receives an electrical stimulation signal from an electrical stimulation module of the in vitro training device to stimulate the genioglossus muscle of the user through transdermal electrical stimulation. The electrode patch includes a body surface adhering face and an assembling face opposite to the body surface adhering face. The body surface adhering face is adhered to the bottom of the chin of the user to align with the genioglossus muscle. The electrical stimulation module is disposed on the assembling face and in electrical connection with the electrode patch. The electrical stimulation module sends an electrical stimulation signal to stimulate the genioglossus muscle through transdermal electrical stimulation.

A stabilization implant comprising: an elongated body having a distal end, a proximal end and a longitudinal axis extending between the distal end and the proximal end, the elongated body being characterized by a superior body surface and an inferior body surface; a superior stabilizer extending outwardly from the superior body surface, the superior stabilizer being characterized by a first lateral superior stabilizer surface and a second lateral superior stabilizer surface; and an inferior stabilizer extending outwardly from the inferior body surface, the inferior stabilizer being characterized by a first lateral inferior stabilizer surface and a second lateral inferior stabilizer surface; wherein at least one of the first lateral superior stabilizer surface, the second lateral superior stabilizer surface, the first lateral inferior stabilizer surface, and the second lateral inferior stabilizer surface comprise at least one outwardly-extending tab.

The invention discloses a vehicle seat self-adaptive adjusting method and system based on environment perception and a medium. The method comprises the steps that physiological state data and human body image data of a target passenger and cabin environment data of a target cabin are obtained; determining body surface temperature and humidity, heart rate parameters and human body metabolic rate of the target passenger according to the physiological state data, and identifying clothing thermal resistance parameters of the target passenger according to the human body image data; determining a human body thermal comfort index of the target cabin according to the human body metabolic rate, the clothing thermal resistance parameter and the cabin environment data; inputting the body surface temperature and humidity, the heart rate parameter and the human body thermal comfort index into a pre-trained thermal comfort demand prediction model to obtain a target thermal comfort demand of the target passenger; and performing heating adjustment and / or ventilation adjustment on the seat of the target cabin according to the target thermal comfort demand. The riding comfort and riding experience of the user are improved, and the method can be widely applied to the technical field of vehicle control.

The invention discloses a scoliosis orthosis registration method based on deep learning and biomechanical constraint, and relates to the technical field of scoliosis orthosis design, and the method comprises the steps: respectively obtaining first feature information of a three-dimensional spine model and second feature information of a three-dimensional body surface model, the second feature information comprises a geometric feature, a pressure feature and a motion feature; the first feature information and the second feature information are simultaneously input to a pre-constructed hybrid configuration network for rigid registration and non-rigid registration, the rigid registration outputs an initial alignment model, and the non-rigid registration outputs high-precision local adaptation data with reasonable dissection; and performing joint optimization on the initial alignment model and the high-precision local adaptation data with reasonable dissection to obtain a final registration result. Geometric and motion features of a spine and a body surface are extracted through double-flow features, so that a registration network of coarse rigidity and then fine non-rigidity is carried out, and transition from geometric registration to function optimization is realized.

A method and system for fish identification based on body surface texture features and geometric features are provided. The method employs an improved Resnet network and a deep learning Yolov8 network to extract body surface texture features and geometric features of a fish on the basis of considering influences of fish tail swing and an oxygen concentration on a fish body form based on a small sample learning framework, and then realizes identity recognition of a fish individual by coupled analysis of the body surface texture features and the geometric features. The method can realize high-accuracy fish identification with few training samples of a fish to be identified from the perspective of actual application, provides theoretical basis and technical support for accurate fish stock assessment and accurate estimation of industrially farmed fish biomass, and meets the development requirements of modern agriculture.

The invention provides an AR-assisted acupoint dynamic positioning method and system based on biological characteristics, and relates to the technical field of medical assistance, and the method comprises the steps: building a three-dimensional body model based on the body shape point cloud data, collected in real time, of a current user, and calculating the theoretical coordinates of acupoints in combination with a traditional Chinese medicine acupoint positioning rule; dynamically calibrating the theoretical coordinates on the basis of synchronously acquired body surface conductivity change characteristics and body surface temperature distribution characteristics of the to-be-acupunctured body area of the current user, and generating acupuncture point coordinates and corresponding needle inserting parameters; the acupuncture point coordinates are mapped to the body part of the current user, visual acupuncture point marks are displayed in real time through AR equipment, and operation guidance related to the needle inserting parameters is synchronously provided; when it is detected that the body position change of the user exceeds the preset threshold value, the above steps are executed again, and the acupoint coordinates and the operation guidance are updated, and through multi-modal biological feature fusion, dynamic calibration and AR visualization interaction, acupoint positioning is precise, dynamic and visualized.

A rain deflector apparatus provides a declined body surface to deflect water away from a sliding glass door (or similar structure) and a compliant base portion that can be sealably inserted into the sliding glass door's track (or similar structure) in order to prevent water and debris from collecting in the track and making its way under the door. In a preferred embodiment, the rain deflector apparatus is secured to the glass of the sliding glass door by way of one or more suction cups. The suction cups are selected such that their holding force to the glass is sufficient to keep the upper edge of the apparatus pressed up against the glass and the lower edge in sealed relation to the track or floor.

The invention provides a 2.5 D phase deflection technology-based complex vehicle body surface coating defect detection method. The method comprises the following steps of: 1, projecting four cosine phase diagrams along an X direction and four cosine phase diagrams along a Y direction to the surface of a vehicle body coating through a programmable light source, and capturing eight cosine phase diagrams reflected by the surface of the vehicle body coating by using a high-precision industrial camera; 2, carrying out fusion processing on eight cosine phase diagrams captured by a camera by adopting a phase deflection technology; and step 3, gradient information of the wrapped phase diagram is extracted and fused, and a shape diagram is generated. The image generated by the technology can detect automobile body coating defects which are difficult to identify by a traditional method, can more clearly reflect fine defects such as sagging, scratches, pits and protrusions on the surface of the automobile coating, and also shows excellent detection capability on the complicated surface of the automobile body coating. According to the technology, the defect detection capability is remarkably improved, the subsequent defect extraction process is simplified, and the detection efficiency and accuracy are greatly improved.

The invention relates to the technical field of automatic acupuncture and moxibustion, in particular to an intelligent acupuncture and moxibustion mechanical arm precise positioning and needle moving method and system.The method comprises the steps that an acupuncture and moxibustion mechanical arm collects posture visual data through a preset multi-mode visual sensor, and analyzes personnel posture image change features corresponding to the posture visual data; when the personnel posture image change feature is the same as the preset posture adjustment feature, performing analysis based on the posture visual data to obtain personnel body surface feature point data; body surface feature point displacement vectors are calculated according to the body surface feature point data, and dynamic acupuncture point coordinate positions are obtained according to preset reference acupuncture point coordinate fusion; and continuously updating the acupuncture points based on the dynamic point coordinate positions, and adjusting the contact force between a needling instrument and a human body according to a preset self-adaptive micro-motion flexible contact force adjusting strategy when the personnel micro-moves. The acupuncture mechanical arm has the advantages that the acupuncture point identification accuracy of the acupuncture mechanical arm during posture adjustment of the acupuncture personnel is improved, and the acupuncture effect is improved.

The invention discloses a bedsore prevention and body position management system and method.The system comprises a mattress, a multi-mode sensing unit, a central processing unit and a body position adjusting unit, the mattress is used for providing lying support for a patient, the multi-mode sensing unit is arranged on the mattress, the central processing unit is arranged on the mattress, and the body position adjusting unit is arranged on the central processing unit. The multi-mode sensing unit is used for collecting pressure distribution data, temperature and humidity data and body posture data of a bedridden patient in real time, and the central processing unit is in communication connection with the multi-mode sensing unit and used for receiving, fusing and processing the data collected by the multi-mode sensing unit and conducting bedsore risk assessment based on a preset bedsore risk model. The central processing unit is used for generating a bedsore risk level and a body position management instruction, and the body position adjusting unit is arranged in the mattress, connected with the central processing unit and used for receiving and executing the body position management instruction so as to adjust the distribution of pressure borne by the body surface of a patient. According to the system, real-time monitoring of bedsore risks and automatic body position adjustment are achieved, the nursing load is relieved, and the nursing efficiency and quality are improved.

The invention provides an animal weight estimation method. The method comprises the following steps: acquiring a depth image and an optical image obtained by shooting an animal by using a depth camera; identifying an animal from the optical image, and extracting a mask and a motion posture of the animal; according to the depth image and the mask of the target animal, body surface geometric parameters of the target animal with the motion posture meeting the weight estimation requirement are determined; and estimating the weight of the target animal according to the motion posture and the body surface geometric parameters of the target animal. According to the method, the motion posture and body surface geometric parameters of a target animal are obtained by adopting a visual technology, and weight estimation is realized. In the implementation process, the method does not interfere with and contact with animals, and non-perceptual weight estimation of the animals is achieved. In addition, the method can improve the accuracy of weight estimation.

The invention provides a vehicle door sealing strip optimization method and device, a medium and equipment, and relates to the technical field of automobile manufacturing. Dynamic sealing simulation is carried out by collecting road spectrum data and vehicle body surface sound source data of a target vehicle under various working conditions, and dynamic sealing performance requirements of a vehicle door under various working conditions are identified according to simulation test results of dynamic sealing performance of the target vehicle under different working conditions. And reversely pushing the required compression amount of the vehicle door sealing strip at each sampling point to form a required compression amount curve. And then, converting the required compression amount curve into a corresponding required rigidity curve, and synthesizing the required rigidity curves under various working conditions to obtain the design parameters of the vehicle door sealing strip meeting the multi-working-condition scene. Therefore, the unequal rigidity optimization design of the vehicle door sealing strip is achieved, the dynamic leakage problem of a vehicle door system is fundamentally solved, the dynamic sealing performance requirement of a vehicle door can be met by achieving single-stage sealing, and finally the purpose of reducing noise of a passenger compartment is achieved.

The invention relates to the technical field of parameter monitoring, in particular to a body surface parameter monitoring method and system for meat duck breeding, and the method comprises the steps: collecting the original image data of a meat duck epidermis region, and synchronously obtaining an environment illumination intensity parameter; performing dynamic illumination compensation processing on the original image data to generate a standard illumination epidermis image; performing feather-epidermis region segmentation on the standard illumination epidermis image to generate a feather distribution mask and an epidermis exposure region coordinate set; extracting multi-dimensional physical sign parameters based on the epidermis exposure area coordinate set, wherein the multi-dimensional physical sign parameters comprise feather gap epidermis temperature, a feather coverage density index and an epidermis texture roughness coefficient; inputting the multi-dimensional physical sign parameters into a pre-trained growth state evaluation model, and outputting a physical sign anomaly probability value and a corresponding anomaly type code; according to the invention, feather dynamic shielding and ambient light interference are effectively overcome, a real-time linkage mechanism of physical sign parameters and feeding strategies is established, and the intelligent level and economic benefits of meat duck breeding are significantly improved.

The invention provides a passenger cabin temperature control method and system and a vehicle. The method specifically comprises the following steps: (1) receiving a temperature distribution heat map and a driver and passenger image sent by an infrared imaging device and a camera; (2) acquiring actual body surface temperatures of all drivers and passengers in a passenger compartment; and (3) the air outlet volume and / or the air outlet temperature of an air outlet in the temperature control area are / is controlled, so that the actual body surface temperature of the driver and passengers in the temperature control area reaches the set target body surface temperature. The air outlet volume and the air outlet temperature of the air outlet of the temperature control area are controlled based on the actual body surface temperature of the driver and the set target body surface temperature, zoning control over the temperature in the passenger compartment is achieved, and the individual requirements of a user can be better met.

The invention provides a massage control method, a massage chair and a controller applied to the massage chair, the massage chair at least comprises the controller, a massage chair main body, an image acquisition device and at least one massage arm.The method comprises the steps that if it is detected that a user sits stably, the image acquisition device is controlled to acquire a current image of the user; identifying a body model of the user according to the current image; and according to the body type model and the current massage mode, determining an action track sequence of each massage arm, and according to the action track sequence of each massage arm, controlling each massage arm to execute massage. The massage process can cover a wider massage area, the personalized massage path can be automatically generated according to the body shape of the user, the massage fitting degree and comfort degree are improved, the whole body surface of the user is massaged, meanwhile, the personalized adaptation capacity of the massage process is improved, and the user experience is improved. The massage experience of the user in the massage process is enhanced, and the personification of the massage process is improved.

The invention relates to the technical field of shoe body detection, in particular to a shoe body quality detection method based on image visual analysis, which comprises the following steps: synchronously acquiring three-dimensional contour and surface spectral information of a to-be-detected shoe body through three-dimensional scanning and spectral imaging equipment to obtain original point cloud spectral data; performing registration and fusion processing on the original point cloud spectral data to construct a registered hyperspectral three-dimensional grid model containing space coordinates and hyperspectral reflectivity values; and calculating a normal vector field and a curvature distribution diagram of the surface based on the hyperspectral three-dimensional grid model so as to quantify geometric features of the surface of the shoe body. According to the invention, through registration and fusion processing, surface spectral information collected by a spectral imaging device is reversely projected and interpolated to each space coordinate vertex of an initial three-dimensional point cloud constructed by a three-dimensional scanning device, so that a registered hyperspectral three-dimensional grid model is constructed, and a surface chemical characteristic spectrum is endowed with three-dimensional space geometric coordinates. And the detection capability is improved.

The utility model is suitable for the technical field of shavers, and provides a shaver head which comprises a support part and a shaving part, the shaving part is movably arranged at the end of the support part, the support part can be connected with a shaver handle of a shaver, and the shaving part can be attached to a human body to remove hair on the body surface. The shaving part comprises a lower cover, the lower cover is hinged to the end of the support part, side covers are fixedly installed on the two sides of the lower cover, and a pair of fixed cutters is fixedly installed between the two side covers. According to the shaver head provided by the scheme, the problems that a traditional shaver head is short in service life and prone to being blocked are solved, especially due to the use of the metal elastic piece and the connecting piece, stable sliding of the movable cutter is ensured, meanwhile, shaving smoothness is improved, trimming is smoother due to the small tooth space, and the shaving efficiency is improved. The torsion spring serves as the elastic element and provides certain elastic reacting force, interaction between the shaver head and the skin is enhanced, and therefore the shaving comfort and efficiency are improved.

The invention belongs to the technical field of acupuncture and moxibustion, and provides an acupuncture point recognition method, system and device for an acupuncture part and a medium, the method comprises the following steps: establishing a body surface anatomical marker coordinate system, and determining body surface coordinates of human body acupuncture points in the body surface anatomical marker coordinate system; determining coordinates of an acupuncture part in the body surface anatomical marker coordinate system; human body acupuncture point body surface coordinates near the acupuncture part coordinates are determined; calculating the distance between the coordinates of the acupuncture part and the body surface coordinates of the acupuncture points of the human body near the acupuncture part; determining an acupuncture point of the acupuncture part according to the distance and a preset acupuncture point weight; by calculating the spatial distance between the recognized coordinates of the acupuncture part and the body surface coordinates of the human body acupuncture points near the body surface of the patient and weighting the scores of the corresponding acupuncture points according to the acupuncture point use frequency, the acupuncture points of the acupuncture part are determined according to the scores, clinical experience factors are added for acupuncture point recognition, and the recognition accuracy is improved.

The invention discloses an optical body surface monitoring method and device applied to a radiotherapy room system and a medium, and relates to the technical field of optical body surface monitoring, and the method comprises the steps: employing a checkerboard calibration algorithm, and determining a positioning external parameter and a treatment external parameter; performing positioning monitoring on the user according to the positioning reference body surface, the body surface positioning real-time point cloud of the user under multiple visual angles and the positioning external parameters of each camera in the positioning camera group, and moving the treatment bed until the body surface positioning mark point of the user is aligned with the positioning isocenter of the radiotherapy machine; performing radiotherapy image verification monitoring on the user according to the treatment reference body surface, the first body surface treatment real-time point cloud and the treatment external reference, and moving the treatment bed until the body surface positioning mark point of the user is aligned with the treatment center of the radiotherapy machine; and performing treatment monitoring on the user in the beam treatment process according to the second body surface treatment real-time point cloud and the treatment external reference, and determining a treatment real-time error. The optical body surface monitoring can be completed based on the annular structure radiotherapy machine by determining the positioning external reference and the treatment external reference.

The invention discloses a body surface sweat in-situ detection sensor based on composite nanofibers and a preparation method, and relates to the technical field of flexible sensing, the body surface sweat in-situ detection sensor comprises a flexible substrate and a detection electrode; the flexible substrate includes: a hydrophobic layer; the liquid guide layer is arranged on the hydrophobic layer and is provided with a sweat non-wetting area and a first sweat wetting area, and the contact angle of the first sweat wetting area is gradually reduced and is smaller than that of the hydrophobic layer; the liquid collection layer is arranged on the liquid guide layer and is provided with a sweat non-wetting area and a second sweat wetting area, and the contact angle of the second sweat wetting area is smaller than that of the first sweat wetting area; the volatilization layer is arranged on the liquid collection layer and provided with a third sweat wetting area, and the contact angle of the third sweat wetting area is larger than that of the second sweat wetting area and smaller than that of the first sweat wetting area; the detection electrode is arranged in the liquid collection layer and is in contact with the second sweat wetting area. The method has the advantages that the multi-scale structure of the electrospun nanofiber is fully utilized, one-way self-permeation of sweat is achieved, cross contamination of new sweat and old sweat is prevented, and sweat detection accuracy is improved.

The invention discloses a multispectral image and LiDAR fusion method suitable for dam body deformation monitoring, and belongs to the field of hydraulic engineering safety monitoring. According to the method, a dam body surface multispectral image and three-dimensional point cloud data are obtained through an unmanned aerial vehicle, and crack spectral features and structural joint geometric features are extracted after processing; constructing a CNN and finite element coupling model, inputting the surface displacement field after feature fusion into the finite element model, and simulating internal stress-strain distribution in combination with material parameters; and analyzing the space-time correlation between the surface displacement and the internal stress, optimizing parameters by combining measured data, and outputting a deformation correlation result. According to the invention, all-directional correlation monitoring of the surface and internal deformation of the dam body is realized, the limitation of a single data source is overcome, the monitoring precision and reliability are improved, and support is provided for safety assessment of the dam body.

The invention relates to generating animatable characters using 3D representations. In various examples, systems and methods related to generating animatable characters or virtualities are disclosed. The system may assign a plurality of first elements of a three-dimensional (3D) model of a subject to a plurality of locations on a surface of the subject in an initial pose. Further, the system may assign a plurality of second elements to the plurality of first elements, each second element of the plurality of second elements having an opacity corresponding to a distance between the second element and the body surface. Further, the system may update the plurality of second elements based at least on the target pose of the subject and the one or more attributes of the subject to determine a plurality of updated second elements. Further, the system may render a representation of the subject based at least on the plurality of updated second elements.

The invention discloses a self-adaptive fitting ultrasonic probe flexible accessory which comprises a flexible cover sleeve body, and the flexible cover sleeve body is made of a medical-grade elastic material and is provided with a containing cavity matched with an ultrasonic probe in shape; the sealing opening is formed in the bottom of the flexible cover sleeve body and is used for tightly wrapping the emitting surface of the probe; the liquid storage cavity is a closed cavity and is pre-filled with a high-viscosity medical ultrasonic coupling agent; the self-adaptive attaching layer is composed of the bottom wall of the flexible cover sleeve body. Wherein the liquid storage cavity is located between the sealed opening and the self-adaptive attaching layer, and the coupling agent is evenly distributed on the contact interface of the probe and the skin under the action of pressure; the probe is matched with a common ultrasonic probe, and the imaging effect of the probe in an uneven body surface area is improved on the premise that the main body structure of the probe is not changed.

The invention provides an intelligent control method and system for the spinning forming thickness of a tank. According to the method, a spinning tank surface thickness fluctuation signal is collected, and a thickness gradient tensor is generated through time sequence decomposition; extracting a thickness fluctuation intensity value in the tensor and a time sequence lag amount of thickness change of adjacent points to calculate a phase deviation feature; based on the characteristics, the curvature of a laser scanning lens on an annular spinning roller is dynamically adjusted, and a three-dimensional wall thickness cloud picture for identifying the thickness abnormal area is output through focusing and scanning of the tank body; a spinning roller motion track is obtained, thickness change-track space deviation is calculated by associating the thickness abnormal area with the phase deviation characteristics, and a track compensation vector is generated; and according to the vector, a spinning roller feeding path is dynamically optimized, and wall thickness fluctuation caused by material springback is inhibited. Dynamic wave suppression of the wall thickness of the spinning tank is achieved, thickness fluctuation is compressed, and the rejection rate is reduced.

The utility model belongs to the technical field of medical instruments, and particularly relates to a buckle device for stably fixing a postoperative thoracic duct, which comprises a decompression pad, an extension wing and an adhesive layer are arranged on the decompression pad, a lifting air bag is arranged on the decompression pad, an air nozzle and a fixing seat are arranged on the lifting air bag, and the fixing seat is arranged on the decompression pad. A clamping ring and a limiting clamping plate are arranged on the fixing seat, an opening is formed in the clamping ring, one side of the opening is a movable end of the clamping ring, the other side of the opening is a limiting end of the clamping ring, an anti-skid rubber mat is arranged in the clamping ring, a pull block is arranged at the movable end, and a limiting clamping groove is formed in the movable end. The adhesive layer at the bottom end of the pressure reduction pad is made of the medical pressure-sensitive adhesive, so that after a thin film or release paper covering the adhesive layer is removed and the pressure reduction pad is adhered to the surface of the body of a patient, the skin of the patient is not easily stimulated, and the pressure reduction pad is easy to remove after being used; the comfort level and the air permeability during use can be conveniently improved, and the pressure injury risk is reduced.

The present disclosure relates to a power storage device. In an element case of an energy storage element according to the present disclosure, a cylindrical body portion is formed by forming a film into a cylindrical shape, and a first opening portion and a second opening portion are formed at both ends, respectively. The first sealing body seals the first opening part. And the second sealing body seals the second opening part. The first sealing body has an outer peripheral surface that is in contact with the inner peripheral surface of the cylindrical main body part. The outer peripheral surface has a main body surface portion and a protruding portion. The main body surface portion extends parallel to a first direction in which the first opening portion and the second opening portion are arranged. The protruding portion protrudes from the main body surface portion toward the cylindrical main body portion.

The embodiment of the invention provides a target area positioning and adjusting method, system and device based on body surface tracking and respiratory gating and a medium, and the method comprises the steps that a breathing time phase is determined based on breathing signal data of a patient; acquiring contour data corresponding to the breathing time phase based on the breathing time phase; the body surface data and the contour data are registered, and the target area position of the patient is determined; in response to the fact that the target area position is not in the target area, pose adjustment is conducted on the patient, and the updated target area position is determined till the updated target area position is located in the target area.

The present invention is a personal care device comprising an elongated handle for manually moving the personal care device along a body surface, a working head attached to the handle for effecting a personal care treatment to the body surface, wherein an adjustment device including at least one adjustment actuator is provided for adjusting at least one treatment characteristic, wherein the adjustment actuator is configured and controlled to adjust the at least one treatment characteristic from a first setting to a second setting within a transition time period of not less than 0.1 seconds and not more than 1.5 seconds.

The utility model relates to the technical field of massage devices, and particularly discloses a multifunctional massage waist rest which comprises an elastic waist rest cushion, the elastic waist rest cushion is provided with a first massage area and a second massage area which are different in massage function, and the first massage area and the second massage area are located on the two side faces of the elastic waist rest cushion respectively; the elastic waist cushion is provided with an EMS physiotherapy assembly which can be in contact with the body surface of a user in the first massage area; and the elastic waist cushion is provided with a kneading massage machine core which can be in contact with the body surface of a user in the second massage area. The physical therapy function areas are arranged on the two faces of the massage waist rest respectively, and the use experience of a user can be effectively improved.

Methods and systems are disclosed for using machine learning models to recommend fashion item fit styles based on body surface landmarks. The methods and systems access one or more images depicting a person wearing one or more fashion items and process, using one or more machine learning models, the one or more images to estimate a data set comprising a set of body landmarks of the person, a set of garment classifications associated with the one or more fashion items, and a set of garment segmentations for the one or more fashion items. The methods and systems identify one or more fit styles associated with the person based on the estimated data set and cause presentation of one or more real-world fashion items matching the identified one or more fit styles.