Brain computer interface based smart keyboard using neurosky mindwave headset

Apr 1, 2020

Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)

DOI 10.12928/TELKOMNIKA.v18i2.13993

Issue 18

Volume 2

In the last decade, numerous researches in the field of‎ electro-encephalo-graphy (EEG) and brain-computer-interface‎‎(BCI) have been accomplished. BCI has been developed to aid‎ disabled/partially disabled people to efficiently communicate‎ with the community. This paper presents a control tool using‎ the Neurosky Mindwave headset, which detects brainwaves‎‎(voluntary blinks and attention) to form a brain-computer‎ interface (BCI) by receiving the system signals from the frontal lobe. This paper proposed an alternative computer input device‎ for those disabled people (who are physically challenged)‎ rather than the conventional one. The work suggested to use‎ two virtual keyboard designs. The conducted experiment‎ revealed a significant result in developing user printing skills‎ on PCs. Encouraging results (1.55-1.8 word per minute‎‎(WPM)) were obtained in this research in comparison to other‎ studies.

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Parallel hybrid string matching algorithm using cuda api function

Sep 15, 2021

Journal 2021 International Conference on Computing and Communications Applications and Technologies (I3CAT)

publisher IEEE

DOI 10.1109/I3CAT53310.2021.9629415

Due to the fast growth of information recently, traditional string matching algorithms face a significant speed challenge. A good string matching algorithm is an algorithm with a small number of character comparisons, a small number of attempts, and a short execution time. These three factors measure the efficiency and performance of string matching algorithms. String matching algorithms are essential in many different applications such as search analysis, intrusion detection, internet search engines, editor’s information retrieval, computer security, and computational biology. These applications use string matching algorithms to search for a small string called a pattern in a large dataset. This search takes a long time and high resources to execute. This paper proposed a parallel design of a hybrid string matching called SSTBMQS on a GPU device using CUDA API. The result shows that the parallel version of …

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Human–machine interaction for motorized wheelchair based on single-channel electroencephalogram headband

Apr 1, 2023

Journal Bulletin of Electrical Engineering and Informatics

DOI https://doi.org/10.11591/eei.v12i2.4163

Issue 12

Volume 2

Human machine interaction (HMI) allows persons to control and interact with devices. Starting from elementary apparatus which acquires input bio-signals to controlling various applications. Medical applications are amongst the very important applications of HMI. One of these medical applications is assisting fully/partially paralyzed patients to restore movements or freely move using exoskeletons or motorized wheelchairs. Helping patients with spinal cord injury or serious neurological diseases to restore their movements is a key role objective for most researchers in this field. In this paper, an EEG-based HMI system is proposed to assist patients with tetraplegia/quadriplegia to mentally control a motorized wheelchair so they can move freely and independently. EEG power spectrum (α, β, δ, θ, and γ) from the frontal lobe of brain is recorded, filtered and wirelessly sent to the wheelchair to control directions and engine status. Four different experiments were conducted using the proposed system in order to validate the performance. Two different GUIs scenarios (cross-shaped and horizontal bar) were used with the experiments. Results showed that the horizontal bar scenario considered more user friendly while the cross-shaped is the more suitable for navigation. The implemented system can be equipped with modules and sensors such as GPS, ultrasound and accelerometer that improve the system performance and reliability.

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DCNN oscillator design, implementation, and performance evaluation.

Apr 1, 2023

Journal Przeglad Elektrotechniczny

publisher IEEE

DOI 10.15199/48.2023.04.14

Issue 99

Volume 4

Technologia FPAA jest idealnym rozwiązaniem do stworzenia systemu analogowego. W tym liście FPAA opisuje i implementuje architekturę prostego modelu CNN używanego do budowy oscylatora opóźnionej komórkowej sieci neuronowej (DCNN). W celu analizy proponowanego systemu przeprowadzono symulację w Matlabie. Widmo przyciągania z różnymi warunkami początkowymi, a także motywy Lapunowa zostały wykorzystane do zbadania podstawowych cech proponowanego systemu. Zbadano wpływ hałasu na proponowany system. Uzyskane obiecujące wyniki zachęcają do zastosowania proponowanego modelu w bezpiecznych systemach komunikacyjnych.(Projekt, implementacja i ocena oscylatora DCNN)

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