EEG Controlled Racing Car

Yıl 2025, Cilt: 8 Sayı: 2, 63 - 73, 31.12.2025

Burak Kaya Halit Buğra Yıldırım , Mehmet Barış Tabakcıoğlu

https://doi.org/10.55117/bufbd.1691303

Öz

In this study, real-time control of a race car is achieved using an EEG-based brain-computer interface (BCI). The user's attention level and blink movements are detected by the NeuroSky MindWave Mobile EEG sensor and transmitted via Bluetooth to a Raspberry Pi 3B platform. The Raspberry Pi analyzes this data to control the speed and direction of the vehicle through a motor driver board. The mechanical design was modeled using SolidWorks software and produced with a 3D printer, while the electronic system includes a Li-Po battery and an XL4015 voltage step-down module. Motor control is managed by an L298N H-Bridge motor driver board. The developed software enables low-latency data transmission and real-time motor control via the UDP protocol.

Anahtar Kelimeler

EEG , Brain-Computer Interface , Raspberry Pi , L298N motor driver

Proje Numarası

1919B012316428

EEG Kontrollü Yarış Arabası

Öz

Bu çalışmada, EEG tabanlı beyin-bilgisayar arayüzü (BCI) kullanılarak bir yarış arabasının gerçek zamanlı kontrolü gerçekleştirilmektedir. Kullanıcının dikkat seviyesi ve göz kırpma hareketleri, NeuroSky MindWave Mobile EEG sensörü ile tespit edilip Bluetooth bağlantısı üzerinden Raspberry Pi 3B platformuna aktarılmaktadır. Raspberry Pi, bu verileri analiz ederek motor sürücü kartı üzerinden aracın hızını ve yönünü kontrol etmektedir. Mekanik tasarım SolidWorks yazılımı ile modellenip 3B yazıcı ile üretilmiş, elektronik sistemde ise Li-Po batarya ve XL4015 voltaj düşürücü modül kullanılmıştır. Motor kontrolü L298N H-Köprüsü motor sürücü kartı ile sağlanmıştır. Geliştirilen yazılım, UDP protokolü üzerinden düşük gecikmeli veri aktarımı ve gerçek zamanlı motor kontrolü sağlamaktadır.

Anahtar Kelimeler

EEG , Beyin-Bilgisayar Arayüzü , Raspberry Pi , L298N motor sürücü

Etik Beyan

Etik kurul kararı gerekmiyor.

Destekleyen Kurum

TÜBİTAK

Proje Numarası

1919B012316428

Teşekkür

Bu çalışma TÜBİTAK 2209A Üniversite Öğrencileri Araştırma projesi kapsamında 1919B012316428 proje numarası ile desteklenmiştir.

Kaynakça

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