2results about How to "Increase intimacy" patented technology

This invention discloses a suspended, flexible, deformable, and emotionally interactive robot. A flexible outer shell covers a flexible chassis, and a levitation airbag is installed inside the flexible outer shell. The levitation airbag is filled with buoyancy gas to provide the buoyancy required for the robot's suspension. An interactive control system inside the flexible chassis enables user interaction. A micro-airflow propulsion system is installed at the bottom of the flexible chassis, including multiple airflow generating units. By adjusting the airflow direction and intensity of the airflow generating units, the robot is driven to achieve spatial movement. The charging base station is an external device, and the bottom of the flexible chassis has an energy supply interface corresponding to the charging base station. When docked, the charging base station provides the robot with electrical energy or buoyancy gas. This invention is applicable to fields such as family emotional companionship, health and wellness, creating an intelligent indoor atmosphere, psychological relaxation assistance, and interactive displays in commercial scenarios. Through the organic integration of various systems, the robot achieves aerial suspension, flexible deformation, intelligent emotional interaction, and autonomous refueling.

The invention relates to a video eye correction method and system based on image processing, and the method comprises the steps: firstly carrying out the frame-by-frame synchronous collection of video and audio streams, completing the denoising normalization preprocessing of images and voices through a convolutional neural network and wavelet transformation, extracting face key points, head postures and voice multi-dimensional emotion features, and carrying out the recognition of the face key points, the head postures and the voice multi-dimensional emotion features; differentiated feature modeling is realized based on the scene label; afterwards, the face and voice features are coded in a unified mode, emotion and visual information is aggregated through a multi-mode joint reasoning network, and complete context perception features are obtained; and then adjustable eyeball deformation parameters and expression coefficients are generated, dynamic deformation and realistic coloring are performed on the eyes in combination with differentiable rendering, and closed-loop adaptive optimization is realized through automatic scoring and user feedback. According to the method, careful collaboration of facial eye expression, expression and voice emotion is realized, and the naturalness and emotion consistency of video generation are improved.