Human-computer Dynamic Interaction for Laser Holographic Projection Based on Mapping and Interface Visual Element Ordering on AHP and FCE
The paper looks into the problems of time-consuming and low operational accuracy in the detection process of interface perception elements once distorted during the task execution of human-computer dynamic interaction.A laser holographic projection human-computer dynamic interaction method based on mapping and interface vision elements is proposed.A self organizing feature mapping algorithm is used to generate a mapping map and extract target features through iterative learning.Combining the importance index of perception elements and the perception intensity of human-computer interaction interfaces,an optimization mode for human-computer dynamic interaction interfaces is constructed by automatically labeling and numbering visual perception elements,and a laser holographic projection human-computer dynamic interaction interface is designed.The test results show that under the application of the proposed method,the marked visual element feature points of the target are updated,with a complete and orderly layout,a perceptual intensity index error controlled between 1-5,interactive task execution time within 12.5 seconds,and an average operating accuracy of 92％.This solves the optimization problem of laser holographic projection human-computer dynamic interaction.
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