Classification of Tactile Perception and Attention on Natural Textures from EEG Signals

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...

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Bibliographic Details
Published in:arXiv.org 2020-12
Main Authors: Kim, Myoung-Ki, Jeong-Hyun, Cho, Ji-Hoon Jeong
Format: Article
Language:English
Subjects:
Algorithms
Classification
Electroencephalography
Empirical analysis
Feedback
Human-computer interface
Imagery
Machine learning
Object recognition
Robot control
Tactile discrimination
Touch
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Summary: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.
ISSN:2331-8422