Sakarya University Journal of Computer and Information Sciences

Yazarlar: Orhan ER, Cemil ALTIN

Konular:Bilgisayar Bilimleri, Bilgi Sistemleri

DOI:10.35377/saucis.01.02.447931

Anahtar Kelimeler:Virtual Reality Software,Biological Signal Classification,Unmanned Aerial Vehicle

Özet: Nowadays, many vehicles are desired to be controlled autonomously. Because of the most important application areas of these studies are military and health area, the development of simulation environments, providing more convenient tools and facilities both time and economically. By means of a 3D virtual reality software developed here, both EEG and EMG signals received from different users are parallely classified in the MATLAB and sent as commands to the virtual reality environment and the unmanned aerial vehicle can be remotely controlled. To test the system's performance, performance analyzes were performed using different routes on different subjects. In this view, independently from hardware the virtual reality environment is integrated with the signals obtained from the human, and the results show that the system can be used successfully.

---