Classification of EEG signals based on imaginary movement of right and left hand wrist

2014 ◽  
Author(s):  
Mosarrat Jahan ◽  
Yusuf Uzzaman Khan ◽  
Bharat Bhushan Sharma
Keyword(s):  
Eeg Signals ◽  
Left Hand ◽  
Right And Left Hand

scholarly journals Motor Imagery EEG Classification Using Capsule Networks

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2854 ◽  
Author(s):  
Kwon-Woo Ha ◽  
Jin-Woo Jeong
Keyword(s):  
Motor Imagery ◽  
Learning Approaches ◽  
Eeg Signals ◽  
Left Hand ◽  
Computer Interfaces ◽  
Conventional Machine ◽  
Short Time ◽  
Electroencephalogram Eeg ◽  
Target Data

Various convolutional neural network (CNN)-based approaches have been recently proposed to improve the performance of motor imagery based-brain-computer interfaces (BCIs). However, the classification accuracy of CNNs is compromised when target data are distorted. Specifically for motor imagery electroencephalogram (EEG), the measured signals, even from the same person, are not consistent and can be significantly distorted. To overcome these limitations, we propose to apply a capsule network (CapsNet) for learning various properties of EEG signals, thereby achieving better and more robust performance than previous CNN methods. The proposed CapsNet-based framework classifies the two-class motor imagery, namely right-hand and left-hand movements. The motor imagery EEG signals are first transformed into 2D images using the short-time Fourier transform (STFT) algorithm and then used for training and testing the capsule network. The performance of the proposed framework was evaluated on the BCI competition IV 2b dataset. The proposed framework outperformed state-of-the-art CNN-based methods and various conventional machine learning approaches. The experimental results demonstrate the feasibility of the proposed approach for classification of motor imagery EEG signals.

EEG efficient classification of imagined right and left hand movement using RBF kernel SVM and the joint CWT_PCA

AI & Society ◽  
2017 ◽  
Vol 33 (4) ◽  
pp. 621-629 ◽  
Author(s):  
Rihab Bousseta ◽  
Salma Tayeb ◽  
Issam El Ouakouak ◽  
Mourad Gharbi ◽  
Fakhita Regragui ◽  
...  
Keyword(s):  
Hand Movement ◽  
Left Hand ◽  
Rbf Kernel ◽  
Right And Left Hand ◽  
Kernel Svm

Right and Left Hand among the Kaguru: A Note on Symbolic Classification

Africa ◽  
1961 ◽  
Vol 31 (3) ◽  
pp. 250-257 ◽  
Author(s):  
T. O. Beidelman
Keyword(s):  
East Africa ◽  
East Central ◽  
Left Hand ◽  
The Social ◽  
Ethnographic Data ◽  
Opening Paragraph ◽  
Social Anthropologist ◽  
Right And Left Hand

Opening ParagraphThis paper presents the general features of dualistic symbolic classification among the Kaguru, a Bantu people of east-central Tanganyika, East Africa.It has been written as a result of my reading Needham's stimulating article, ‘The Left Hand of the Mugwe’, which recently appeared in Africa. Using Bernardi's ethnographic data on the Meru, Needham isolates a dualistic symbolic classification of those people. The result is a very striking illustration of the order and understanding gained by the social anthropologist once this important feature of Meru ideology is shown. Needham then goes on to indicate some of the relations which such a symbolic classification may have to certain structural divisions of a society.

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