38 results about "Mobile interaction" patented technology

An XR system is provided that enhances user interaction within extended reality environments through precise hand scale estimation. The XR system is configured to capture tracking data of a user's hand as the user interacts with a mobile device. Concurrently, the XR system captures pose data of itself and uses the tracking data and the pose data to determine a reference line segment. This segment aids in calculating three-dimensional distances between node pairs of the user's hand. By employing these measurements, the XR system effectively calculates a hand scale factor that is used for accurately integrating the user's hands into an XR user interface.

The invention relates to the field of e-commerce data collection. The e-commerce transaction information collection method based on big data comprises the following steps: collecting user mobile terminal interaction behavior data through an embedded SDK, synchronously calling an e-commerce platform API to obtain structured transaction data, and generating an original transaction data set; performing dynamic hierarchical labeling on the original transaction data through a hierarchical rule engine to obtain a transaction data set with hierarchical labels; dynamically adjusting the sampling weight of the high-risk transaction, and generating an optimized sampling instruction set; analyzing transaction data corresponding to the optimized sampling instruction set, and converting unstructured data into feature vectors; according to the method, differential privacy processing is performed on sensitive fields in a time sequence transaction knowledge graph, an auditing statistical report is generated through a homomorphic encryption algorithm, and a desensitized multi-dimensional analysis result is output, so that the precision of a user portrait and a commodity recommendation model is improved, the transaction fraud omission ratio is reduced, and the problem that a traditional encryption technology is incompatible with privacy compliance requirements is solved.

The embodiment of the invention discloses a predicted trajectory optimization method and device for surrounding vehicles, a vehicle and a storage medium, and relates to the technical field of vehicle control, and the method comprises the steps: obtaining an initial predicted trajectory of the surrounding vehicles of a current vehicle, and determining a starting point lane corresponding to a trajectory starting point of the initial predicted trajectory and a terminal point lane corresponding to a trajectory terminal point; determining an optimized lane of the terminal lane according to the position of the starting lane and the position of the terminal lane, and performing direction optimization on the initial prediction trajectory according to the starting lane and the optimized lane to obtain an intermediate prediction trajectory; determining a preceding vehicle of the surrounding vehicles according to the intermediate prediction trajectory; determining interaction track points of the surrounding vehicles and the front vehicle based on the intermediate prediction track, and moving the interaction track points to obtain optimized track points of the interaction track points; and speed optimization is carried out on the intermediate prediction trajectory based on the optimized trajectory points to obtain the target prediction trajectory of the surrounding vehicles, so that the reasonability and accuracy of the prediction trajectory are improved, and the driving safety of the autonomous vehicle is improved.

The invention discloses an intelligent monitoring and comprehensive management system and management method for a capsule room. The system comprises a mobile interaction end, a data processing end and a visual screen, the mobile interaction end, the data processing end and the visual screen are connected in sequence; wherein the mobile interaction terminal is used for uploading acquired suspicious room image data and receiving a sent capsule room management notification; the data processing end is used for analyzing the capsule room condition according to the suspicious room image data to formulate a capsule room management scheme, and generating a capsule room management notice based on the capsule room management scheme; and the visual screen is used for displaying the capsule room condition, the capsule room management efficiency and the capsule room positioning map. Suspicious room image data are uploaded at any time through the mobile interaction terminal, a capsule room management scheme can be made conveniently, the capsule room management state and effect can be visualized, comprehensive management of the capsule room by multiple parties is achieved, and the improvement effect of the capsule room is improved.

The invention provides an electric power maintenance scheduling method and scheduling system, and belongs to the technical field of electric power overhaul and maintenance, and the method comprises the following steps: inputting a plurality of maintenance units into a scheduling system, and constructing a neural network with a plurality of maintenance lines by taking the plurality of maintenance units as nodes; working condition models of different scheduling levels are constructed according to relevance of multiple maintenance lines, an interaction terminal and an evaluation rule are set on a maintenance unit, and daily maintenance parameters and emergency start-stop parameters are preset for the interaction terminal; maintenance parameters of the interaction terminal corresponding to the working condition model are formed in an array mode and sent to the mobile interaction terminal, the mobile interaction terminal feeds back maintenance information to the interaction terminal, the corresponding working condition model is simulated and operated, and the power maintenance effect is judged according to the evaluation rule of the interaction terminal. According to the electric power maintenance scheduling method provided by the invention, the electric power maintenance process is smoother, information can be fed back in time, and the problems of deviation omission and untimely processing are not easy to occur.

The present invention relates to a method for localizing a mobile interaction device by a vehicle. The method comprises the steps: radio-based distance determination between the vehicle and the interaction device, position estimation of the mobile interaction device, initial classification of the position estimation into one of several defined zones in an interior and / or environment of the vehicle, determination of a plausibility value for the initial classification of the position estimation, and extended classification of the position estimation of the mobile interaction device into one of the defined zones using a classifier trained with machine learning methods if the plausibility value is below a defined threshold.

The invention provides a tracking mobile interaction method, a cave automatic virtual environment system, equipment and a medium. The CAVE system comprises a real space, a virtual space, a wireless control device and projection equipment, wherein the real space comprises a single camera device; the method comprises the steps that target object information in a real space is obtained through a camera device, the target object information is updated to a virtual space, and if the first distance between the target position and the position of a virtual anchor point is smaller than or equal to a first preset distance threshold value, the virtual anchor point moves to the target position. Controlling the projection equipment to display a first virtual motion picture, wherein the first virtual motion picture comprises a virtual environment picture and a target motion picture; if the first distance is larger than the first preset distance threshold value, the projection equipment is controlled to display a second virtual motion picture, the second virtual motion picture comprises the target object and a picture enabling the virtual environment picture to move based on a control instruction of the wireless control device, and more natural and visual navigation experience can be provided.

A method includes receiving one of: an indication that dual connectivity is configured, or an indication of potential conditional Layer-1 / Layer-2 triggered mobility (LTM) configuration; reading a configurable value indicating that co-existence between dual connectivity and conditional LTM is not permitted; in case of receiving the indication that dual connectivity is configured, determining that conditional LTM cannot be configured; and in case of receiving the indication of potential conditional LTM configuration, determining that dual connectivity cannot be configured for a candidate cell.

The invention relates to the field of rehabilitation medical instruments, in particular to a rehabilitation device for hand dysfunction, which is used for solving the problems that intelligent rehabilitation gloves in the prior art are easy to fall off, poor in flexibility, single in rehabilitation mode and weak in interactivity. The rehabilitation device comprises a first glove, a control module, a mobile interaction end and a second glove. The first glove is worn on a healthy side hand, collects action states of five fingers in real time and is used for supporting a mirror image training mode; the control module serves as a core and is used for processing related instructions, carrying a touch screen and improving interaction friendliness; the mobile interaction terminal is used for supporting a visual training mode, performing rehabilitation training by identifying hand key points, and improving the rehabilitation interest of a patient; the second glove is worn on the hand on the affected side, the adjacent fingers are designed in a zipper mode, and each finger is provided with a detachable pneumatic driver, so that different hand types can be adapted, and the pertinence and flexibility of rehabilitation can be improved; meanwhile, the device also supports other training modes and functions.

This application discloses a multimodal guided emergency supplies location and medical order recording system, relating to the field of medical equipment technology. The system includes: a central processing unit, a mobile interactive terminal, and a visually guided medicine cabinet. The mobile interactive terminal has a built-in directional microphone array, used to collect on-site voice through the directional microphone array and transmit the voice to the central processing unit. The central processing unit issues LED control commands to the visually guided medicine cabinet based on the on-site voice and records the medical order information identified from the on-site voice. The visually guided medicine cabinet includes multiple partitions, each corresponding to an independently addressable LED indicator. The visually guided medicine cabinet has a built-in medicine cabinet controller, used to control the corresponding LED indicator to light up according to the LED control commands. This application improves the accuracy of emergency supplies guidance and the efficiency of medical order recording.

An XR system is provided that enhances user interaction within extended reality environments through precise hand scale estimation. The XR system is configured to capture tracking data of a user's hand as the user interacts with a mobile device. Concurrently, the XR system captures pose data of itself and uses the tracking data and the pose data to determine a reference line segment. This segment aids in calculating three-dimensional distances between node pairs of the user's hand. By employing these measurements, the XR system effectively calculates a hand scale factor that is used for accurately integrating the user's hands into an XR user interface.

The application provides a millimeter wave radar gesture recognition method and device for multiple mobile modes, electronic equipment and medium. The method comprises the following steps: after obtaining a gesture point cloud sequence, a spatial Laplace matrix is obtained by constructing a spatial graph based on k-nearest neighbors in each frame, and a time Laplace matrix is obtained by constructing a chain time graph and expanding between adjacent frames; a disturbance constrained by a space-time structure is applied to the point cloud sequence based on the two Laplace matrices, and an enhanced point cloud sequence is generated; a self-supervised pre-training is performed on an encoder-decoder network by using the enhanced data; a domain adversarial fine-tuning is performed by reserving the encoder and combining a small amount of real labeled data, mobile mode related information is stripped through a gradient reversal layer, a mobile decoupled gesture feature representation is obtained to realize gesture recognition. Under the condition of only a small amount of real labeled samples, the application significantly improves the accuracy and robustness of gesture recognition under multiple mobile modes, and can be applied to mobile interaction scenes such as smart home and virtual reality.

The invention relates to the field of communication, in particular to a low-energy-consumption communication method and system. The method comprises the following steps: acquiring interaction information and communication information of a mobile user, constructing a wireless communication network of the mobile user according to the interaction information and the communication information, setting a communication monitoring point, and acquiring mobile interaction data and user communication data of the wireless communication network; obtaining a scheduling path, a scheduling base station and a scheduling base station link channel according to the user sending point and the user receiving point, and obtaining an interaction coefficient and a communication coefficient according to the scheduling base station, the scheduling base station link channel, the user communication data and the mobile interaction data; obtaining a communication effect value according to the scheduling path through the interaction coefficient and the communication coefficient, and analyzing the mobile communication process according to the communication effect value to obtain a communication adjustment factor; and according to the communication adjustment factor, carrying out mobile communication planning on the scheduling route to obtain a communication strategy. The overall efficiency of the communication network can be improved.

The invention provides a post-transplantation interaction system and a post-transplantation interaction method. A mobile interaction terminal device obtains daily health data and basic information of a patient. And the server receives the data uploaded by the mobile interaction terminal equipment, inputs the data into the post-transplantation prediction model, calculates a rejection risk value and an infection risk value, and returns results to the mobile interaction terminal equipment. Wherein the transplantation post-operation prediction model is constructed based on a large amount of clinical data and a machine learning algorithm, and the rejection reaction and infection risk can be predicted according to daily health data and basic information of a patient. The system can collect and process data in real time, and can perform personalized risk assessment according to individual differences of patients. Through the system, a patient can perform health monitoring and risk assessment in a home environment without going to a hospital or a professional institution.

1. Name of the product in this design: Robot (Multi-functional Tank). 2. Application of this design: It is suitable as a smart companion and communication center for modern families, integrating emotional interaction, education and entertainment, mobile interaction, remote communication and security monitoring into a multi-functional tank robot. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

To regulate information exchanges, provide personal security and enhance personal privacy inside and outside a network and to regulate devices. Provided is a personal bio-data mining and pairing method of a human user to one or more communications devices capable of functioning in a network cloud environment and, where the rules governing cloud organization and communications are based in part upon a human user bio-data and real world information exchanges commonly occurring at specific geographical locations.

The invention relates to the technical field of industrial internet of things, discloses an intelligent vibroflotation equipment internet of things system based on an open source gap and an operation method thereof, and aims to solve the problems of difficulty in equipment access, discontinuity in data acquisition and high coordination delay among multiple equipment in the prior art. The system comprises a gap vibroflotation equipment node, a gap edge gateway, a cloud management platform and a mobile interaction terminal, the nodes map original data into semantic standard data points through a controller local area network bus protocol drive of an embedded analysis rule, and the semantic standard data points are packaged into distributed soft bus services to be published; the edge gateway carries out dynamic networking through a distributed soft bus, discovers and subscribes services, converts data into a unified object model format and stores the data; the cloud platform operates an algorithm and issues a service calling instruction; and the mobile terminal dynamically loads the interaction interface. According to the invention, rapid standardized Internet of Things access of vibroflotation equipment is realized, operation data is continuous and reliable, and low-delay intelligent collaboration among multiple equipment is supported.

The invention relates to the technical field of safety control, and discloses an electric welding machine fool-proof system based on feed production, which comprises an electric welding machine main body unit, and an intelligent control terminal and a mobile interaction terminal which are connected in series in a power supply loop of the electric welding machine main body unit, the intelligent control terminal is integrated with a micro-control unit, a power on-off unit and a wireless communication unit. The mobile interaction terminal is configured to collect an operation certificate image, and after OCR recognition and compliance judgment pass, an encrypted data packet containing a control instruction is generated; the micro-control unit receives and verifies the time validity and integrity of the data packet, and drives the normally-open power on-off unit to be closed according to a verification result, so that the electric welding machine power supply is switched on; in addition, the system has the functions of heartbeat monitoring, operation duration limiting and environment safety linkage, and forced resetting and power failure are achieved in the abnormal state. According to the invention, through forced linkage of physical blocking and qualification checking, illegal operation without a certificate is avoided, and the fire operation safety level of a feed production environment is improved.

The invention discloses an autonomous mobile interaction and multi-mode control display system based on edge AI. The system comprises an all-terrain adaptive mobile module used for driving a display device to move on different types of terrains; the three-dimensional space interaction module is used for identifying the posture of a human body lying station and detecting to form environmental map information; the edge intelligent voice module is internally provided with an end-side large model platform or a mixed architecture voice engine and a special acceleration chip to realize an edge AI function and provide offline voice instruction recognition and continuous dialogue; the data sovereignty protection module carries out localization processing and encrypted storage on the user data; the multi-mode cooperative control module is used for fusing multi-source sensing data and executing a cooperative decision; the end-side large model module is used for providing localized AI reasoning capability; the ecological interconnection module provides a cross-platform protocol conversion gateway and an open API interface so as to establish application circulation and seamless projection with different systems of external equipment. According to the invention, autonomous movement, intelligent interaction, privacy protection and cross-platform seamless cooperation of equipment are realized.

1. The name of the design product: graphical user interface of mechanical product design management platform for electronic equipment. 2. The use of the design product: program running and / or interface display for mechanical product design management platform. 3. The design points of the design product: the content of the graphical user interface displayed by the electronic equipment. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: display of the interactive interface of the mechanical product design management platform. 6. The human-computer interaction mode of the graphical user interface: the upper area of the interface is a toolbar, the area below the toolbar on the left side is a part relationship display area, the area below the toolbar on the right side is a main operation window area, the main operation window area is used to display a board about detailed information of a part or assembly of a mechanical product, and a board connection line representing the association relationship between the parts or assemblies. 7. Other circumstances that need to be explained: "X" in each view is replaceable text, and the display position of the tab can be changed according to the user's input of the moving interactive operation.

An XR system is provided that enhances user interaction within extended reality environments through precise hand scale estimation. The XR system is configured to capture tracking data of a user's hand as the user interacts with a mobile device. Concurrently, the XR system captures pose data of itself and uses the tracking data and the pose data to determine a reference line segment. This segment aids in calculating three-dimensional distances between node pairs of the user's hand. By employing these measurements, the XR system effectively calculates a hand scale factor that is used for accurately integrating the user's hands into an XR user interface.

The application provides a nuclear power field operation structured execution system and method based on mobile interaction and offline synchronization. The system comprises a background service subsystem and a mobile operation terminal. The background service subsystem comprises a work package structured engine for generating a structured template containing work steps, risks, acceptance and other elements; an offline package management module for dynamically assembling an encrypted offline package according to tasks, with a version identifier and a signature; a data synchronization and archiving service for checking, decrypting and returning results to the business system. The mobile operation terminal comprises: an offline operation module for guiding execution according to the structured process in a network-free environment; a field data collector for calling a camera, a code scanner and an RFID, and binding work steps and device data collection; an intelligent synchronization queue module for automatically resuming transmission after network recovery. The system realizes operation error prevention, full-area coverage, structured data sedimentation and efficient work order closed loop.

The invention provides an arc-shaped window interaction method and device and electronic equipment, and the method comprises the steps: responding to the dragging input of a target arc-shaped window, recognizing a target arc-shaped wall which meets an adsorption condition with the target arc-shaped window, and adsorbing the target arc-shaped window to the target arc-shaped wall; under the condition that mobile interaction input of the target arc-shaped window is received, responding to the mobile interaction input, and controlling the target arc-shaped window to move on the target arc-shaped wall so as to update the position of the target arc-shaped window; and under the condition that updating input of the first end point of the target arc-shaped window is received, in response to the updating input, adjusting the position of the first end point on the target arc-shaped wall so as to update the form of the target arc-shaped window. The shape of the window can be matched with the shape of the wall, and reasonable matching of the target arc-shaped window and the target arc-shaped wall is achieved; and it is guaranteed that the target arc-shaped window is attached to the target arc-shaped wall all the time in the moving and deformation process, and the design precision is improved.

The invention provides a cotton detection device and method based on deep learning, and relates to the technical field of cotton detection. In order to solve the problems of low portability and low detection efficiency of a detection device in the prior art, an intelligent light supplementing module is integrated on an image acquisition module, and the intelligent light supplementing module is used for supplementing light according to the light intensity of a target detection environment; the image acquisition module comprises a mobile terminal and a fixing structure, and the fixing structure is used for fixing the mobile terminal to acquire images according to a set shooting view angle; the image detection module is in communication connection with the image acquisition module, a deep learning grading model is embedded in the image detection module, and the deep learning grading model is used for extracting key features of an input image, analyzing and processing the key features and then outputting a grading result; the image detection module further comprises a mobile interaction interface and is further used for transmitting the grading result to the mobile terminal through the mobile interaction interface. The detection device disclosed by the invention is relatively high in portability and detection efficiency.

The invention discloses a nuclear engineering model conversion and motion dynamic interaction platform and method based on virtual reality, and the platform comprises a scene roaming module, a BIM modeling module, a model conversion optimization module, and a motion dynamic interaction module. The scene roaming module is used for realizing free exploration and multi-mode mobile interaction of a user on a whole scene of nuclear engineering in a virtual reality environment; the BIM modeling module is used for building a three-dimensional model of a nuclear reactor plant in nuclear engineering based on a prefabricated member library in a virtual reality environment; the model conversion optimization module is used for importing the nuclear engineering three-dimensional model into a virtual reality environment and generating a target format model adaptive to the virtual reality environment; the motion dynamic interaction module is used for carrying out interactive motion with a nuclear engineering three-dimensional model in a virtual reality environment and carrying out dynamic adjustment on various model attributes; according to the method, nuclear engineering model conversion and motion dynamic interaction based on virtual reality are realized by adopting the platform.

Systems and methods receive, across a secure communication channel, a request for a mobile interaction comprising a user signature from a user device. A signature authorization process is initiated to authenticate the user signature from the mobile interaction. Based on a response from the signature authorization process, the instructions are transmitted to the user device to initiate a biometric authorization process. If a biometric input as part of the biometric authorization process is received, a verification is performed on the biometric input. A confirmation notification is sent to the user device approving or declining the mobile interaction. If approval is received, the mobile interaction is processed by transferring information, across a secure communication channel, to complete the request.

The invention discloses an interaction method, device and equipment based on intention perception and adaptive depth partitioning, and a computer readable storage medium. The interaction method comprises the following steps: acquiring a user shoulder key point coordinate to determine an original point and a reference scale of an interaction coordinate system; determining an entry threshold value and an exit threshold value of the Z axis based on the reference scale, wherein the entry threshold value is greater than the exit threshold value; obtaining the key point coordinates of the wrist of the user to calculate the Z-axis relative depth, the Z-axis speed and the X-Y plane speed of the wrist; switching a current interaction mode between a first interaction mode and a second interaction mode based on the depth, the speed and the threshold value; and according to the current interaction mode, generating a two-dimensional movement interaction instruction based on the X-Y plane displacement of the wrist, or generating a one-dimensional continuous parameter interaction instruction based on the Z-axis relative depth. The method has the advantages that mode flicker and mistaken touch are avoided, the interaction dimension is expanded, and the interaction stability and richness are improved.

The invention discloses a holographic walking digital robot based on a large model technology and a control method thereof, the robot can carry out holographic digital human image display and is provided with a chassis capable of walking, the overall implementation cost is low, the robot can move according to guidance space information, the interaction is vivid and visual, and the robot is convenient to use. According to the holographic walking digital robot based on the large model technology and the control method of the holographic walking digital robot, man-machine interaction and smooth interaction are achieved in the mode that a local large model and a cloud large model are combined, and therefore the holographic walking digital robot based on the large model technology and the control method of the holographic walking digital robot have the advantages of being low in cost, capable of conducting interaction based on space, flexible and natural in display image and smooth in interaction mode.

1. The name of the product of this design: Mobile interactive screen (A271). 2. Purpose of this design product: mobile Internet terminal equipment. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: Stereoscopic diagram 2.