Multi-target way of cursor movement in brain computer interface using unsupervised learning
DD Chakladar, S Chakraborty�- Biologically Inspired Cognitive�…, 2018 - Elsevier
Abstract Brain-Computer Interfacing (BCI) helps physically disabled people to control
multidimensional cursor movement in a real-life scenario. Noninvasive BCI techniques play
a major role for this purpose. In this paper, we have proposed three algorithms of cursor
movement using three well-known clustering methods (Minimum distance, DB-Scan and
Gaussian Mixture Model). These proposed techniques are generally tested on motor
imagery EEG data. We have performed multi-target based cursor movement using our�…
multidimensional cursor movement in a real-life scenario. Noninvasive BCI techniques play
a major role for this purpose. In this paper, we have proposed three algorithms of cursor
movement using three well-known clustering methods (Minimum distance, DB-Scan and
Gaussian Mixture Model). These proposed techniques are generally tested on motor
imagery EEG data. We have performed multi-target based cursor movement using our�…