10 results about "Cooperative interaction" patented technology

The application provides a ConvNeXt model SAR ship classification method based on multi-level feature cooperative interaction. In order to effectively utilize traditional manual features, the method uses a Canny-based edge detection method, captures edge information of objects in an image through multi-level filtering and edge gradient analysis, and inputs the result into a ConvNeXt model for feature extraction. In addition, a multi-level branch structure is expanded in the ConvNeXt model, which is used for deep extraction of feature information at different scales, so as to capture various information of the image at low-level features and high-level features. Finally, cross fusion with traditional manual features is carried out in the multi-scale feature extraction process, so as to improve the classification accuracy of the model.

1. The name of the design product: EEG team competition head-mounted device (streamlined competition version). 2. The use of the design product: worn on the human head to realize EEG cooperative interaction function, suitable for team competition scene, and the device takes into account the wearing comfort, storage convenience and visual adaptability of the competition scene. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

This invention discloses an intelligent interaction method and system for virtual mental health scenarios for adolescents, specifically relating to the field of intelligent interaction technology. It involves collecting multimodal interaction data generated in virtual mental health interaction scenarios, extracting cooperative interaction patterns to form a cooperative interaction benchmark feature library; forming an adversarial interaction feature set based on the deviation of the multimodal interaction data sequence from the cooperative interaction benchmark feature library; evaluating time series consistency and cross-modal consistency based on the cooperative interaction benchmark feature library and the adversarial interaction feature set, calculating the multimodal interaction credibility weight distribution, and generating psychological risk assessment features by combining the multimodal interaction data sequence to obtain adolescent psychological risk assessment results; and improving the effectiveness of adolescent mental health intervention by constructing an adaptive virtual dialogue strategy decision-making model and outputting virtual mental health interaction feedback information oriented towards the real psychological needs of adolescents.

This invention discloses a multimedia light painting collaborative interactive system integrating light and shadow art and intelligent sensing, comprising an interaction perception module, an intent understanding and mapping module, a collaborative interaction management module, an intelligent graphics rendering and output module, and an environment adaptation module. Through multimodal sensor fusion, the system achieves high-precision motion capture and complete, continuous image acquisition under complex lighting conditions. It can intelligently analyze user motion characteristics to understand creative intent and utilize GPU parallel computing and AI style transfer to generate personalized light and shadow effects in real time. The system supports multi-user collaborative interaction and can automatically trigger collective creation events. The environment adaptation module can dynamically adjust the projection output to ensure optimal visual effects across the entire scene. This invention represents a leap from static recording to dynamic intelligent co-creation, providing an immersive and highly interactive new experience.

This application provides a multi-VR terminal collaborative interaction system and method based on mutual positioning computation, relating to the field of VR terminal collaborative interaction technology. It involves constructing a collaborative perception network; evaluating the pose reliability of the virtual character mapped to each VR terminal in the collaborative perception network to obtain the observation reliability of each virtual character's pose; when all VR terminals detect a virtual character with lost visual observation, the collaborative perception network broadcasts the last observation information of the lost virtual character to determine the pose constraint boundary of the lost virtual character during the VR terminal occlusion interruption; predicting the trajectory of the skeletal keypoints of the lost virtual character to obtain the predicted motion trajectory of the virtual character's skeletal keypoints; and performing a pose transition on the lost virtual character to obtain the virtual character's pose transition parameters, thereby adjusting the virtual character's spatial position. This application can prevent visual jumps in virtual characters when VR terminal occlusion interruption occurs.

1. Name of the design product: practical training all-in-one machine (multi-screen cooperation). 2. Use of the design product: used in practical training teaching environment to realize multi-person multi-screen cooperative interaction, content synchronization and interactive operation. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

This invention discloses a multi-user collaborative interaction method for a virtual archaeological site tour system, relating to the field of virtual reality interactive control technology. The method includes: updating the user's horizontal position and determining grid spatial units; decomposing the surface geometric height into baseline height components and disturbance residual components, and calculating the unit disturbance index; aggregating multi-user data to calculate the unit consensus coefficient; using the consensus coefficient to suppress disturbance residuals to generate a consistent viewpoint height, and adjusting the input gain, with both used as the collaborative state output. This invention can improve the visual stability and interaction consistency of multi-user collaborative tours.

The application relates to an Issue fixer recommendation method and device, equipment and a readable storage medium, relates to the open source software ecosystem field and the service recommendation technical field, and fully considers the cooperative interaction relationship between developers and Issues, that is, a cooperative interaction graph between developers and Issues is constructed according to the cooperative relationship between developers, the interaction behavior between developers and Issues and the similar relationship between Issues, feature learning is performed on the developers and Issues, and the fixer recommendation is performed by using the inner product result of the feature vectors of the developers and Issues, so that the fixer recommendation result is more comprehensive and accurate, and the Issue fixer recommendation performance is effectively improved.

This invention discloses a data center computing power regulation method and system based on electrothermal computing power collaborative interaction. It establishes an interactive task SLA response time constraint model and a batch processing task maximum latency window model, and classifies servers into three categories: interactive, batch processing, and hybrid. By introducing a batch processing flexible migration matrix, it quantifies the flexible adjustment characteristics of computing power tasks in the collaborative operation of computing power. Through comparative analysis, it can obtain the importance of the flexible adjustment characteristics of computing power tasks in the overall data economy operation during collaborative operation. Under the above constraints, it solves for task allocation / migration, server frequency and number of servers in operation, cooling power or temperature trajectory, energy storage charging and discharging, and power purchase decisions, enabling the data center to achieve dynamic supply and demand balance in computing power.