- Bilgisayar Bilimleri
- Cilt: IDAP-2023 : International Artificial Intelligence and Data Processing Symposium Sayı: IDAP-2023 Üzel
- Evaluation of a steady-state visual evoked potential controlled quadcopter path using different perf...
Evaluation of a steady-state visual evoked potential controlled quadcopter path using different performance measures
Authors : Kaan DELİHASAN, Zafer İŞCAN
Pages : 131-142
Doi:10.53070/bbd.1350921
View : 32 | Download : 46
Publication Date : 2023-10-18
Article Type : Other
Abstract :This study focuses on controlling a quadcopter system using a steady-state visual evoked potential (SSVEP)-based brain-computer interface system. In the literature, researchers report the accuracy and information transfer rate. However, these measures do not provide sufficient information about the predicted and target path similarity. The drone is expected to follow a certain square-shaped path and return to its starting position. We calculated the final and mean distances as additional outcome measures using several classifiers. The results emphasize the importance of having a balanced confusion matrix in the performance of quadcopter control and provide a more complete picture in the evaluation of the quadcopter’s performance. Focusing on the relationship between classification accuracy and spatial deviation might create a new perspective for BCI-based control systems.Keywords : İnsansız Hava Araçları (İHA), Yol Takip, Kontrol, Beyin-Bilgisayar Arayüzü