Electroencephalograph-Based Hand Movement Pattern Recognition for Prosthetic Robot Control Using a Combination of Long Short-Term Memory and Stacked Autoencoder Methods

• Published in: 2024 IEEE International Conference on Smart Mechatronics (ICSMech) pp. 225 - 229
• Main Authors: Hana Sasono, Muchamad Arif, Akbar, Afgan Satrio, Fatoni, Moch. Rijal, Nanda Imron, Arizal Mujibtamala, Anam, Khairul
• Format: Conference Proceeding
• Language: English
• Published: IEEE 19.11.2024
• Subjects: Accuracy; Autoencoders; electroencephalograph; Electroencephalography; hand movement pattern recognition; Hands; Long short term memory; Pattern recognition; Reliability; Robot control; robotic prosthetic hand; stacked autoencoder; Testing; Training

Electroencephalograph (EEG) signals have expanded beyond the medical field into control systems. Improving EEG-based control technology is crucial to enhancing the quality of life for people with disabilities, especially in optimizing prosthetic functions. This research proposes a method to control...