Analysis of Psychomotor Ability Evaluation Method Based on Lightweight Convolutional Neural Networks

A lightweight convolutional neural network based psychomotor ability assessment method was proposed in the study, which utilizes EEG signals to analyze participants’ psychomotor abilities. The experimental results indicate that accuracy of psychomotor ability evaluation based on lightweight convolutional neural networks can reach up to 94.1%, thus it can be effectively used in psychomotor ability evaluation. In addition, the psychomotor ability evaluation method of lightweight convolutional neural networks also has the advantages of simplicity, ease of operation, and speed. Experimental research is of great significance for deepening the understanding of the characteristics of human psychomotor ability and improving the training of psychomotor ability.