Andalas Journal of Electrical and Electronic Engineering Technology
Vol. 1 No. 1 (2021): May 2021

Estimation of the Shoulder Joint Angle using Brainwaves

Minoru Sasaki (Gifu University
Tokai National Higher Education and Research System)
Takaaki Iida (Gifu University)
Joseph Muguro (Gifu University
Dedan Kimathi University of Technology)
Waweru Njeri (Gifu University
Tokai National Higher Education and Research System
Dedan Kimathi University of Technology)
Pringgo Widyo Laksono (Gifu University
Universitas Sebelas Maret)
Muhammad Syaiful Amri bin Suhaimi (Gifu University
National Institute of Technology, Gifu College)
Muhammad Ilhamdi Rusydi (Universitas Andalas)

Article Info

Publish Date
07 May 2021

Abstract

This paper presents the angle of the shoulder joint as basic research for developing a machine interface using EEG. The raw EEG voltage signals and power density spectrum of the voltage value were used as the learning feature. Hebbian learning was used on a multilayer perceptron network for pattern classification for the estimation of joint angles 0o, 90o and 180o of the shoulder joint. Experimental results showed that it was possible to correctly classify up to 63.3% of motion using voltage values of the raw EEG signal with the neural network. Further, with selected electrodes and power density spectrum features, accuracy rose to 93.3% with more stable motion estimation.

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Journal Info
Andalas Journal of Electrical and Electronic Engineering Technology
Website

Abbrev

ajeeet

Publisher

Universitas Andalas

Subject

Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

Description

Electrical power and energy: Transmission and distribution, high voltage, electrical energy conversion, power electronics and drive. Telecomunication and Signal Processing: Antenna and wave propagation, network and systems, Modulation and signal processing, Radar and sonar, Radar imaging; Radio, ...