  Brain-computer interface allows people who have lost their motor skills to
control robot limbs based on electroencephalography. Most BCIs are guided only
by visual feedback and do not have somatosensory feedback, which is an
important component of normal motor behavior. The sense of touch is a very
crucial sensory modality, especially in object recognition and manipulation.
When manipulating an object, the brain uses empirical information about the
tactile properties of the object. In addition, the primary somatosensory cortex
is not only involved in processing the sense of touch in our body but also
responds to visible contact with other people or inanimate objects. Based on
these findings, we conducted a preliminary experiment to confirm the
possibility of a novel paradigm called touch imagery. A haptic imagery
experiment was conducted on four objects, and through neurophysiological
analysis, a comparison analysis was performed with the brain waves of the
actual tactile sense. Also, high classification performance was confirmed
through the basic machine learning algorithm.
