Brain-Controlled Wheelchair for Indoor Environments
Haider Abdulkarim (Al Nahrain University, Iraq); Mohammed Zeki Al-Faiz (Al-Nahrain University, Iraq)
This paper proposes a Brain Computer Interface for fully automated indoor wheelchair navigation and path planning system. The proposed BCI system uses Convolutional Neural Network for feature extraction and shallow neural network for classification. The experimental results are compared to simulated MATLAB model and showed an average error of 3 cm.
Journal: International Journal of Simulation- Systems, Science and Technology- IJSSST V22
Published: Apr 4, 2021