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Browsing Elektrik - Elektronik Mühendisliği / Electrical and Electronics Engineering by Author

Browsing Elektrik - Elektronik Mühendisliği / Electrical and Electronics Engineering by Author "Temurtaş, Feyzullah"

Now showing items 1-7 of 14

A FPGA Based Remote Accessible Digital System Laboratory Prototype

M. Serdar Bascil; Yazıcı, İrfan; Temurtaş, Feyzullah (IEEE COMPUTER SOC, 2012)

In this work, a FPGA based remote accessible digital system laboratory prototype is created for Electrical & Electronics Engineering undergraduate students. The system consists of an Altera DE2 development and education ...
GKP Signal Processing Using Deep CNN and SVM for Tongue-Machine Interface

Kutlucan Gorur; Bozkurt, Mehmet Recep; Muhammet Serdar Bascil; Temurtaş, Feyzullah (INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC, 2019)

The tongue is one of the few organs with high mobility in the case of severe spinal cord injuries. However, most tongue-machine interfaces (TMIs) require the patient to wear obtrusive and unhygienic devices in and around ...
Glossokinetic potential based tongue-machine interface for 1-D extraction

Kutlucan Gorur; Bozkurt, Mehmet Recep; M. Serdar Bascil; Temurtaş, Feyzullah (SPRINGER, 2018)

The tongue is an aesthetically useful organ located in the oral cavity. It can move in complex ways with very little fatigue. Many studies on assistive technologies operated by tongue are called tongue-human computer ...
Glossokinetic potential based tongue-machine interface for 1-D extraction using neural networks

Kutlucan Gorur; Bozkurt, Mehmet Recep; M. Serdar Bascil; Temurtaş, Feyzullah (ELSEVIER, 2018)

This study may serve disabled people to control assistive devices in natural, unobtrusive, speedy and reliable manner. Moreover, it is expected that GKP-based TMI could be a collaboration channel for traditional ...
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE

Yumuşak, Nejat; Çerezci, Osman; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)

In this study, the method to apply the Elman's recurrent neural networks using resilient back propagation for harmonic detection is described. The feed forward neural networks are also used for comparison. The distorted ...
Multi-channel EEG signal feature extraction and pattern recognition on horizontal mental imagination task of 1-D cursor movement for brain computer interface

M. Serdar Bascil; Teşneli, Ahmet Yahya; Temurtaş, Feyzullah (SPRINGER, 2015)

Brain computer interfaces (BCIs), based on multi-channel electroencephalogram (EEG) signal processing convert brain signal activities to machine control commands. It provides new communication way with a computer by ...
Spectral feature extraction of EEG signals and pattern recognition during mental tasks of 2-D cursor movements for BCI using SVM and ANN

Teşneli, Ahmet Yahya; Temurtaş, Feyzullah (SPRINGER, 2016)

Brain computer interface (BCI) is a new communication way between man and machine. It identifies mental task patterns stored in electroencephalogram (EEG). So, it extracts brain electrical activities recorded by EEG and ...