3 accepted papers
Brain-computer interface (BCI) speech decoding has emerged as a promising tool for assisting individuals with speech impairments. In this context, the integration of electroencephalography (EEG) and electromyography (EMG) signals offers strong potential for enhancing decoding performance. Mandarin t
Visual impairment is a common condition worldwide, and cortical electrical stimulation is one of the approaches to aid in visual restoration. However, existing methods suffer from limited precision, flexibility, and generalization in generating the desired visual perception. In this paper, we propos
Multi-Tasks decoding from electroencephalogram (EEG) signals is of great value for brain-computer interaction (BCI) applications in natural scenes. Although most existing studies have concentrated on decoding significantly different multi-tasks, a few studies explored the various cognitive processes