191 results about "Body area" patented technology

Provided herein are techniques that facilitate interactions with and / or control of devices provided for collaborative workspaces using body area network communications. In one example, a method is provided that may include, upon a touch of a user with a collaboration device, performing, for a user device that provides a body area network for the user, a pairing exchange facilitated via the body area network for pairing the user device and the collaboration device. During the touch of the user with the collaboration device, the method may include transmitting a user token to the collaboration device via the body area network. The method may further include transmitting a pairing communication to a collaboration service in which the communication includes the user token and a pairing token for the device and, upon successful authentication of the user by the collaboration service, pairing the user device with the collaboration device.

The invention discloses a text-driven digital human action generation method, which comprises the following steps of: decoupling each body part of a human body when a training data set is constructed, generating a corresponding text description unit for each body part, and constructing different texts for describing the same action by randomly selecting the text description units. The influence of local action combination bias existing in a previous data set is relieved, and the model is helped to better associate a text with a corresponding local body action; an action encoder and an action decoder in the human body action vector quantization auto-encoder both adopt a graph convolutional network structure, so that the human body skeleton connection relationship is more effectively represented. The human body motion data actually should be of a topological graph structure instead of grid data, so that compared with a convolutional neural network, the graph convolutional neural network can more effectively utilize the topological structure of the human body and extract the internal relation between joints. The modal transformation model benefits from a loss function employing local semantic enhancement during training.

The invention relates to the technical field of batteries, and discloses a cover plate structure and a battery cell. The cover plate structure comprises a cover plate body, the cover plate body is provided with a plurality of installation through holes arranged at intervals in the X direction, the cover plate body is provided with two first side edges oppositely arranged in the X direction, and the two first side edges are oppositely arranged in the X direction; body areas are respectively formed in areas between two adjacent mounting through holes and between the first side edge and one mounting through hole adjacent to the first side edge on the cover plate body; the plurality of reinforcing ribs are arranged in the body area, the total projection area of orthographic projections of the reinforcing ribs on the cover plate body in the Z direction is S0, the contour area of the cover plate body is S, and S0 / S is larger than or equal to 0.025 and smaller than or equal to 0.06. Therefore, stress concentration can be avoided, the product forming yield can be improved, the structural strength of the cover plate body can be effectively improved, and the risk of abnormal deformation or cracking of the cover plate body and the mounting through holes is reduced.

The invention discloses an inter-body area network and intra-network joint optimization interference mitigation method based on channel prediction, which comprises the following steps of: firstly, predicting channel quality between each node and a coordinator in a body area network under different frequencies by using an autoregression model, classifying the body area network according to neighbor information among the body area networks, and dividing the channel quality of each node in the body area network according to neighbor information; secondly, distributing channels with different frequencies to various body area networks according to the principle of maximizing the average signal receiving strength of the nodes so as to avoid inter-network interference; in each body area network, the number of required time slots is calculated according to the service volume of each node, and when the number of time slots is not enough, the number of time slots of the nodes is reduced according to the principle that the total utility of the nodes is maximized; and then, according to the predicted channel quality condition of the nodes in the network under the allocated frequency, allocating time slots to the nodes by taking the minimum average packet loss probability as a principle. The method provided by the invention can be used for the scene of coexistence interference of the semi-dynamic body area network, and inter-network and intra-network interference can be avoided.

Disclosed are techniques for wireless sensing. In an aspect, a user equipment (UE) detects an object and a direction to the object in an environment of the UE, determines whether the object is a human, identifies, based on the object being the human, a sensitive body part of the human, and performs, based on identification of the sensitive body part, a maximum power exposure (MPE) mitigation operation.

The invention provides a pressure sore detection method and system based on a pressure sensor. The method comprises the following steps: acquiring pressure data of a to-be-detected part of a user through the pressure sensor; preprocessing the collected pressure data to form a pressure matrix; extracting at least one basic pressure characteristic value based on the pressure matrix; calculating characteristic values of any basic pressure characteristic value in a time domain, a frequency domain and a time-frequency domain, and constructing a multi-level pressure characteristic matrix; and inputting the multi-level pressure feature matrix into a pressure sore state detection model to obtain the pressure sore state of the user, through the method, pressure data acquisition can be performed on the body part of the user in a real-time and non-inductive manner, pressure sore detection is performed, autonomous monitoring of the body part of the user is realized by using an artificial intelligence algorithm, and the user experience is improved. The detection process is flexible and efficient, and the privacy of the user is effectively protected.

The invention mainly discloses a multi-source exploration geological point cloud three-dimensional solid body model construction method, electronic equipment and a storage medium in the field of geological exploration, and the method comprises the steps: obtaining multi-source point cloud data of a laser radar, an earthquake and the like, and executing coordinate unification, noise removal and attribute normalization based on data quality; projecting to a unified attribute space to realize geometric and physical attribute fusion; building a three-dimensional grid based on the fused data, introducing geological constraints such as faults, performing boundary-preserving interpolation on a boundary region, and performing multi-scale block inversion on an abnormal body region; constructing a voxel model storing spatio-temporal data and compressing the voxel model; and outputting the model through distributed parallel modeling. The method solves the problem of multi-source data isomerism, improves abnormal body modeling precision, supports geologic body dynamic evolution depiction, improves mass data processing efficiency, and is suitable for various geological exploration scenes.

The invention discloses an ISM frequency band broadband antenna for near field communication of a metamaterial fabric wireless body area network, which belongs to the field of wireless communication and comprises a dielectric substrate, a coupling structure is etched on the bottom layer of the dielectric substrate, and a first feeder line structure, a second feeder line structure, a third feeder line structure and a fourth feeder line structure are etched on the top layer of the dielectric substrate. A first far-field suppression resistor and a second far-field suppression resistor are respectively arranged at the current antinode positions of the third feeder line section structure and the fourth feeder line section structure; and a first impedance matching resistor and a second impedance matching resistor are respectively arranged at the joint of the first feeder line structure and the third feeder line structure and the joint of the second feeder line structure and the fourth feeder line structure. According to the ISM frequency band broadband antenna for near field communication of the metamaterial fabric wireless body area network, the problem of data security caused by electromagnetic wave far field radiation leakage in a WBAN system constructed by the metamaterial fabric is effectively solved, and the information security of a WBAN application scene is improved.

The invention provides a personnel detection method, equipment and a program product, personnel are detected based on a top-mounted camera, and the method comprises the following steps: a target detection network structure receives a plurality of continuous video frames; for each frame, the target detection network structure identifies whether the target person has a predetermined label pattern in a predetermined body area, and counts the total number of frames having the predetermined label pattern; if the total frame number is greater than a preset number threshold value, determining that the target person is a person meeting a preset attribute; otherwise, determining that the target person is a person which does not meet the predetermined attribute; the number threshold is less than a predetermined number and greater than or equal to 2; wherein the target detection network structure is an improved network structure based on YOLO-V5; wherein the YOLOv8 network structure C2f is used for replacing C3 in the YOLO-V5 network structure, the SSPF of the YOLO-V5 network structure is improved into the SSPFM, and the CBAM module of the YOLO-V5 network structure is improved into the CBAMLSA. By means of the technical scheme, the personnel meeting the preset attributes can be accurately recognized in the scene of the top-mounted camera.

A wireless charging assembly including a base body, a charging coil, a magnet and a plurality of partitions. The charging coil is disposed in the base body. The magnet includes a body part and a plurality of protruding parts. The plurality of protruding parts protrude from a side of the body part. The body part and the plurality of protruding parts are integrally formed as a single piece. The body part is disposed in the base body. The plurality of partitions are connected to the base body. The plurality of protruding parts of the magnet are spaced apart from each other by the plurality of partitions.

The present invention relates to communication system and method for error-proportional energy-saving in encoding and decoding in Body Area Networks (BAN) using Human Body Communication (HBC). The method includes receiving message signal from data sources. Further, the method includes encoding data symbols using encoding algorithms. Furthermore, the method includes calculating syndrome values for the encoded data symbols. Furthermore, the method includes generating an error signal when the calculated syndrome values corresponds to a non-zero value. Furthermore, the method includes receiving the error signal from the syndrome module. Furthermore, the method includes activating an Error Location Polynomial (ELP) module when the syndrome values corresponds to a non-zero value. Subsequently, the method includes generating an error indication signal. Consequently, the method includes activating an Error Magnitude Polynomial (EMP) solver module and a chien search module. Finally, the method includes decoding the encoded data symbols.

The disclosure belongs to the field of board processing, and specifically relates to a floor slab unit with chamfers, a processing method, and a processing device. The floor slab unit includes at least a substrate layer and a finish paint layer disposed sequentially. The floor slab unit includes a body area and a chamfered areachamfered area formed on at least one edge, the finish paint layer thickness of the chamfered area is equal to that of the body area, and the difference between the surface glossiness of the chamfered area and the surface glossiness of the body area is no more than 1. Through the specific processing device and method, the disclosure solves the problem that the connection strength of floor slab units is reduced, while ensuring overall visual effect improvement. Moreover, surface performance is not affected, and better three-dimensional effects and overall texture are achieved.

On-demand functionalized textiles for near field body area networks in accordance with embodiments of the invention are disclosed. In one embodiment, a body area network is provided, the body area network including: a first array of magnetically coupled resonators configured to propagate magneto-inductive (MI) surface waves, where the first array of magnetically coupled resonators comprises a plurality of MI elements, and where the first array of magnetically coupled resonators creates a flexible magnetic metamaterial path for wireless communication using the MI surface waves.

The invention discloses a text-to-action generation method and system based on body part fine-grained representation, and belongs to the field of human body action generation. Body part-level fine-grained discretization modeling is performed on human body actions to obtain an action encoder and an action decoder which can stably reconstruct a continuous action sequence; the method comprises the following steps: taking a part fine-grained discrete action space as a producible space, introducing video potential representation as space-time dynamic priori, establishing an alignment modeling mechanism of the video potential representation and the action discrete space, and training to obtain a conditional generation network, so as to realize stable prediction and iterative completion of an action discrete index sequence in a reasoning stage; and a continuous human body action sequence is reconstructed through an action decoder, and finally a human body action sequence which is consistent with text semantics, richer in details and more coherent in time sequence is generated. According to the method, the technical threshold and data dependence of action content production can be reduced, and the controllability and generalization ability of action generation are improved.

This invention relates to broadband acousto-mechanical sensing (BAMS) systems and methods for monitoring physiological signals of a living subject, and applications of the same. Specifically, the system includes one or more wireless, skin-interfaced BAMS devices disposed on the living subject to form a body area network. The BAMS devices are time-synchronized and wirelessly communicate with each other, and each BAMS device includes an accelerometer, such as an inertial measurement unit (IMU), to capture acceleration data from the living subject and an acoustic mechanical device configured to capture body sounds from the living subject. A control device being time-synchronized and wirelessly communicate with the BAMS devices is used to manage and process the acceleration data and the body sounds from the one or more BAMS devices in order to generate information of body movements and body sounds of the living subject.

The present disclosure provides a periodic autoencoder that can be used to generate a general motion manifold structure using local periodicity of the movement whose parameters are composed of phase, frequency, and amplitude. The periodic autoencoder is a novel neural network architecture that can learn periodic features from large unstructured motion datasets in an unsupervised manner. The character movements can be decomposed into multiple latent channels that can capture the non-linear periodicity of different body segments during synchronous, asynchronous, and transition movements while progressing forward in time, such that it captures spatial data and temporal data associated with the movements.

A system for assessing a cognitive state of a user, comprising: a hardware output user interface providing user progression information at performing a task; an input user interface controllable by the user for performing the task; wherein response dynamics of the input user interface to user instructions are changed by the system during the performance of the task, thereby resulting in highly fluctuational motion of a body portion; a processor and a memory module including computer program code, collectively configured to cause the system to: receive over at least one hardware communication channel sensor based kinematic data indicative of kinematic parameters of the body portion at different times during the performance of the task; process the sensor-based kinematic data to characterize motion patterns of the at least one body part during the highly fluctuational motion; and determine a cognitive state of the user based on the motion patterns.

The invention relates to a depth-of-field wallpaper generation method, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring a wallpaper image and a control; determining a foreground main body area in the wallpaper image; and in response to the condition that the ratio of the overlapping area of the foreground main body area and the control to the area of the control does not meet the field depth wallpaper generation condition, moving the control to a target position in the wallpaper image in a first direction of pointing a first centroid of the foreground main body area to a second centroid of the control or in a second direction of pointing the second centroid to the first centroid, non-depth-of-field wallpaper is generated, and the target position is the position of the control in the wallpaper image when the ratio meets the depth-of-field wallpaper generation condition; and superposing the foreground main body corresponding to the foreground main body area on the non-depth-of-field wallpaper to generate the depth-of-field wallpaper. Through the method and the device, the technical problem that in order to realize the depth-of-field wallpaper, a user needs to continuously adjust the wallpaper image until the generation condition of the depth-of-field wallpaper is met, and the user operation is increased in the related technology is solved.

The utility model relates to the technical field of data lines, in particular to a data line, which comprises a massage section and a first joint and / or a second joint connected to the end part of the massage section, the massage section comprises a bendable shell, a flexible circuit structure arranged in the shell and a massage function part, the first connector is electrically connected with the second connector through the flexible circuit structure, and the massage function part is electrically connected with the first connector and / or the second connector through the flexible circuit structure. The data line not only can realize the functions of data transmission, equipment charging and the like, but also can realize a massage function. The bendable shell and the flexible circuit structure enable the massage section to be bendable and better fit the curve of the human body, the massage section is integrated into the data line, the whole linear structure of the data line is not damaged, storage and arrangement are convenient, the linear structure of the data line can be used for winding the body part, and the data line is convenient to use. The massage section is better fixed and attached to the part to be massaged, and the accuracy and comfort of massage are improved.

The present invention discloses a text-driven digital human action generation method. When constructing a training data set, the various body parts of the human body are decoupled, and a corresponding text description unit is generated for each body part. Different texts describing the same action are constructed by randomly selecting text description units, thereby alleviating the influence of the local action combination bias existing in previous data sets, and helping the model to better associate the text with its corresponding local body action; the action encoder and action decoder in the human action vector quantization autoencoder both adopt the structure of a graph convolutional network, which more effectively characterizes the connection relationship of the human skeleton. Human motion data should actually be a topological graph structure rather than grid data. Therefore, compared with convolutional neural networks, graph convolutional neural networks more effectively utilize the topological structure of the human body to extract the intrinsic connection between joints. The modal conversion model benefits from the use of a local semantic reinforcement loss function during training.

The invention provides a modeling simulation method for a robot body domain channel. A robot model can be used for simulating a robot needing to be developed in a virtual scene; collecting an antenna model corresponding to an antenna of a model needing to be used in an antenna library to simulate radiation characteristics of the antenna of the model represented by the antenna model; then, based on the interactive interface, the selected antenna module is installed on a related part of the robot model according to the needed position and direction; and finally, controlling the robot to move to adjust the pose so as to drive the part to adjust the position and the direction, thereby simulating a wireless channel between the antenna modules needing communication based on the adjusted pose and the radiation characteristics corresponding to the antenna modules, and evaluating the state of the wireless channel in the body area of the robot model under the pose. Therefore, a developer can obtain the state of the wireless channel in the body area of the robot model under various required poses, so that the developer can efficiently find problems, the efficiency of developing the robot is improved, and the cost is reduced.

To provide a top board elevation type desk capable of reducing a user's physical burden while reducing weight of a top board 50.SOLUTION: A top board elevation type desk has a top board 50 and a leg body. The top board 50 has a work surface on a top surface. The leg body supports the top board 50 so that it can elevate vertically. The top board 50 has: a body area 53 supporting a lower end part with the leg body; and a front edge area 54 connected to the front of the body area 53. On an upper side of the front edge area 54, an upper inclined part 55 inclined downward is formed forward. A lower end part 54z of the front edge area 54 is disposed below a lower end part 53z of the body area 53.SELECTED DRAWING: Figure 4

Provided in the present application are a method, apparatus and system for performing defect detection on a cathode piece of a composite material belt, and an electronic device, a lamination machine, a computer-readable storage medium and a computer program product. The method comprises: acquiring consecutive images of a composite material belt; clipping at least one image fragment from the consecutive images of the composite material belt, wherein the image fragment comprises a cathode piece body area; and performing detection on the cathode piece body area. By means of the technical solutions in the embodiments of the present application, defect detection can be quickly and accurately performed on a cathode piece of a composite material belt, such that the production yield of a laminated cell assembly can be increased.

The invention provides a signal processing method and a related device. The signal processing method comprises the following steps: acquiring a first signal and a second signal; wherein the first signal is an echo signal reflected by a first body part of a target object, the echo signal is a signal obtained after a wireless signal sent by terminal equipment is reflected, and the second signal is an image signal of a second body part of the target object; the first body part is closer to one side of the heart of the target object than the second body part; based on the first signal and the second signal, the transmission time of pulse waves is determined; and determining physiological parameters of the target object based on the transmission time of the pulse wave. According to the method, the accuracy of the detected physiological parameters of the target object can be improved, and meanwhile, the method can be suitable for portable terminal equipment.

The utility model discloses a disposable puncture bag for radio frequency treatment. The disposable puncture bag comprises a radio frequency kit fixing disc and an auxiliary instrument placing disc. Wherein the radio frequency suite fixing disc is divided into four parallel areas V1-V4, the head end part of each area is fixedly provided with an electrode connecting wire fixer, the main body area is provided with an electrode storage groove and a radio frequency trocar storage groove, and an electrode and a radio frequency trocar are placed in the grooves; the auxiliary instrument placing tray is divided into a medicine placing area, an instrument placing area and a disinfectant placing area; the medicine placing area is provided with three medicine placing grooves, the instrument placing area is provided with a plurality of instrument placing grooves, and the disinfectant placing area is provided with at least two disinfectant placing grooves.

An electronic device and a method for determining the intensity of a low-frequency current are provided. The method includes: individually applying a corresponding first current to a body part of a user in N consecutive time intervals, wherein the time intervals include an i-th time interval to an (i+N)-th time interval; obtaining electromyography values of the body part in each time interval; determining a second current corresponding to an (i+N+1)-th time interval based on the first current corresponding to each time interval, the body part, personal information of the user, and the electromyography values of each time interval; and applying a second current to the body part of the user in the (i+N+1)-th time interval.

This facilitates the transmission of vibrations at a predetermined frequency to a predetermined vibration transmission site. [Solution] The vibration transmission system comprises a vibration transmission device, a database showing the relationship between "body parts" of a person to whom vibrations are transmitted from the vibration transmission device, the vibration transmission parts, and vibration frequencies, and a terminal having an input unit and an output unit. The vibration transmission parts are the parts of the person to whom vibrations are transmitted that are in contact with the vibration transmission device. The output unit outputs information relating to the vibration transmission parts corresponding to the "body parts" input via the input unit, which are identified from the vibration transmission parts for each "body part" in the database. The terminal vibrates the vibration transmission device at the vibration frequencies corresponding to the "body parts" input via the input unit, which are identified from the vibration frequencies for each "body part" in the database.

The invention belongs to the technical field of mode recognition and artificial intelligence application, and particularly discloses a dangerous area personnel climbing behavior recognition method, a storage medium and a terminal, and the method comprises the following steps: S1, constructing a human body target detection data set; s2, training a human body target detection algorithm; s3, constructing a personnel climbing behavior classification data set; s4, training a personnel climbing behavior classification algorithm; s5, configuring a personnel climbing behavior identification area; s6, obtaining the position information of the personnel; s7, comparing personnel position information; and S8, classifying the personnel body area image blocks appearing in the personnel climbing behavior recognition area through a trained personnel climbing behavior classification algorithm, and judging whether a personnel climbing behavior exists or not. The method has the beneficial effects that the image data can be processed and analyzed through the image recognition technology to obtain the personnel behavior information in the image data, so that the realization of personnel climbing behavior recognition becomes reality, and the safety risk caused by the personnel climbing behavior in a dangerous area is reduced.

The present invention discloses a method for evaluating and warning marine disaster-bearing bodies based on unmanned aerial vehicles and geographical grids, belonging to the technical field of marine disaster-bearing body evaluation, and comprising the following steps: Step S1. Determining the evaluation area and establishing a monitoring network: determining the range of the disaster-bearing body area to be evaluated, burying a plurality of first sensors within the disaster-bearing body area, dividing geographical grids based on the positions of the first sensors, connecting the first sensors to a preset data processing system to form a monitoring network, and realizing real-time collection and transmission of data; Step S2. Receiving monitoring data and preprocessing the data: receiving and monitoring marine disaster data, when the marine disaster data reaches a first preset threshold, enabling the first sensors to collect corresponding data of the disaster-bearing body area at a preset frequency, collecting the data of the first sensors, and performing data preprocessing. The invention improves the real-time performance and accuracy of the evaluation, and enhances the monitoring and warning capabilities for marine disasters.