Intelligent Controlled Hand Assistive Device Based on EEG Signal

Author(s)	Ms. Parvathi K, Ms. Pavithra NG, Ms. Preethy Y, Ms. Priyanka R
Country	India
Abstract	This paper presents an intelligent EEG‑based hand assistive device designed to support individuals with limited hand mobility. EEG signals representing user intent are processed using machine learning techniques to classify multiple hand‑movement tasks and control a robotic hand prototype. The system enables actions such as grasping, lifting, rotating, and releasing through a non‑invasive human–machine interface. Experimental results show improved accuracy and smooth motion assistance, demonstrating the potential of the proposed low‑cost system for rehabilitation and assistive applications.
Keywords	EEG, Brain–Computer Interface, Assistive Device, Robotic Hand, Motor Imagery, Machine Learning.
Field	Engineering
Published In	Volume 7, Issue 6, November-December 2025
Published On	2025-12-20
DOI	https://doi.org/10.36948/ijfmr.2025.v07i06.63693

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