EEG Signal Processing and Classification for the Novel Tactile-Force Brain-Computer Interface Paradigm
This work introduces a novel tactile-force BCI paradigm, potentially benefiting individuals with motor impairments by offering an alternative control method.
The study tackled the problem of using tactile-force stimuli on a hand holding a joystick to create a brain-computer interface (tfBCI), resulting in successful interfacing with remarkable information-transfer rates validated in online experiments with seven subjects.
The presented study explores the extent to which tactile-force stimulus delivered to a hand holding a joystick can serve as a platform for a brain computer interface (BCI). The four pressure directions are used to evoke tactile brain potential responses, thus defining a tactile-force brain computer interface (tfBCI). We present brain signal processing and classification procedures leading to successful interfacing results. Experimental results with seven subjects performing online BCI experiments provide a validation of the hand location tfBCI paradigm, while the feasibility of the concept is illuminated through remarkable information-transfer rates.