Neurohaptics is the field of study that strives to understand the complex neural
representation provoked in response to tactile and/or kinesthetic stimuli. This field has …

We report a deep learning-based emotion recognition method using EEG data collected
while applying cosmetic creams. Four creams with different textures were randomly applied …

An automatic generation of medical report method (AGMedRep) was proposed in order to
process electroencephalogram (EEG) segments using machine learning (ML) to generate …

Odor identification refers to the capability of the olfactory sense for discerning odors. The
interest in this sense has grown over multiple fields and applications such as multimedia …

Abstract Machine learning has been used in the last decade to solve many problems in the
haptics field. In particular, EEG data that is recorded during haptic interactions was used to …

Neurohaptics strive to study brain activation associated with haptic interaction (tactile and/or
kinesthetic). Understanding the haptic perception and cognition has become an exciting …

Consumers often develop preferences toward consumer electronics based not only on the
visual appearance of a product, but also on its haptic interface. If consumers express a …

This study investigates the effectiveness of haptic feedback in hand rehabilitation exercises,
within both virtual reality (VR) and real-world settings, to enhance upper limb functionality in …

Several neurological disorders, such as epilepsy, can be diagnosed by
electroencephalogram (EEG). Data mining supported by machine learning (ML) techniques …

The paper aims at classifying the brain response to touch-induced affection aroused in
human subjects into four classes: love, fondness, devotion and respect using a novel vertical …