基于多模态数据建模的生理电人体运动意图预测的研究方法简述

Brief Description of the Research Method of Physiological Electric Human Motion Intention Prediction Based on Multimodal Data Modeling

本文拟从生物特征信号处理角度入手,通过人体肌肉-骨骼模型建立多模态的生物数据库,实现人体运动意图模式判断与预测以及差异化场景下的感知预测优化,并用外部高频磁场刺激神经元进行检验。为进一步研发人工智能型装备提供扎实可行的理论依据。

From the perspective of biometric signal processing,this paper intends to establish a multimodal biological database through the human muscle bone model to realize the judgment and prediction of human movement intention mode and the optimiza-tion of perceptual prediction in differentiated scenes,and test the neurons stimulated by external high-frequency magnetic field.It provides a solid and feasible theoretical basis for further research and development of artificial intelligence equipment.