2 results about "Visual information processing" patented technology

The present invention relates to a real-time interactive cognitive guidance system and method using a Magnetic-Sync Engine (MSE) that monitors a user's cognitive state in real time and pre-projects a target trajectory to compensate for the delay in the brain's visual information processing. The MSE of the present invention calculates a virtual gravitational force corresponding to the distance between the user's input point and the target trajectory to pull the user toward the target path like a magnet, and forms a cognitive highway by projecting a visual guide 0.1 to 0.2 seconds earlier than the expected point the user will reach through pre-pulling timing control. By fusing multimodal sensors such as eye tracking and tactile input, the cognitive load is precisely calculated, and accordingly, the size of the virtual gravitational force and the shape of the trajectory can be varied in real time. Upon successful synchronization, neurofeedback is provided through solfège frequency audio and blooming animation to maximize learning efficiency, and the invention can be applied to various fields such as medical rehabilitation, cognitive training, and precision work education.

The application provides a pattern skipping rope action recognition and intelligent judging method based on visual space-time feature matching, and belongs to the technical field of visual information processing. The first step is multi-view video data acquisition and synchronization; the second step is video preprocessing and frame extraction; the third step is skeleton key point extraction based on improved YOLOv8-pose; the fourth step is skeleton key point sequence post-processing and kinematic feature extraction; the fifth step is rope body motion trajectory extraction; the sixth step is space-time feature modeling and action sequence recognition; the seventh step is action quality evaluation and intelligent judging score; the eighth step is system deployment and real-time inference. The application effectively enhances the recognition ability of the complex action of the pattern skipping rope by fusing YOLOv8-pose and CA attention mechanism and introducing a space-time feature matching module, and has higher precision in distinguishing similar actions such as cross jumping and side swing crossing.