解码方法
脑电图
计算机科学
语音识别
计算机视觉
人工智能
人机交互
心理学
神经科学
电信
作者
Renáta Ivett Kubacska,Csanád Hende,János Csipor,Gergely Márton
标识
DOI:10.1109/biosensors61405.2024.10712665
摘要
This paper presents an integrated approach to studying human motor intention by combining Electroencephalography (EEG), Electromyography (EMG), and camera recordings. The goal is to understand the neurophysiological mechanisms underlying movement control and develop methods for predicting human motor intentions in advance. Through innovative synchronization techniques and advanced technology, the study aims to decode the complex interplay between neural activity, muscular dynamics, and hand movements. Ultimately, the research seeks to advance our understanding of human motor control and its applications in rehabilitation processes.
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