Control of LRF and Two DC Motors with Pattern Recognition Approach Based on Mental Tasks

Creative Commons License

Gezgez C., Candan L., Kaçar E.

Turkish Physical Society 36th International Physics Congress, Muğla, Türkiye, 1 - 05 Eylül 2020, cilt.02, sa.1, ss.3-7

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 02
  • Basıldığı Şehir: Muğla
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.3-7
  • Kocaeli Üniversitesi Adresli: Evet

Özet

Brain-Computer Interface (BCI) applications, which is a communication system that allows creating interfaces between the human brain and artificial devices, offers preferable options for people with various muscle, nerve and vision diseases, as well as contributing to the development of technological tools. In this study; with a pattern recognition approach based on mental tasks, a BCI application has been carried out with a laser distance measurement system that does not need to work all the time for individuals with muscle, nerve and visual diseases. This application has provided the control of 2 DC motors representing wheelchair and robotic arm. The results obtained with this application using the Emotiv Epoc+ device show that the control of peripheral units can be achieved with a few commands using the technologies adopted in this study. In addition, the advantages/disadvantages of the application are discussed.