Featured Application This article presents an application of deep learning in preference
detection performed using EEG-based BCI. Abstract The traditional marketing …

Neuromarketing has gained attention to bridge the gap between conventional marketing
studies and electroencephalography (EEG)-based brain-computer interface (BCI) research …

Neuromarketing involves the study of brain responses that focuses on understanding how
consumers' brains respond to products and services, and how these responses influence …

A system and method may be provided for associating bio-signal data (eg EEG brain scan
data) from at least one user with at least one music data item (eg song, or piece of music). By …

Recently, the promising field of neuromarketing, which uses neuroscience in the decision-
making has attracted growing interest from various end-user industries and geography. As …

Numerous EEG‐based brain‐computer interface (BCI) systems that are being developed
focus on novel feature extraction algorithms, classification methods and combining existing …

Electroencephalogram (EEG)-based emotion classification is rapidly becoming one of the
most intensely studied areas of brain-computer interfacing (BCI). The ability to passively …

Brain state classification for communication and control has been well established in the
area of brain-computer interfaces over the last decades. Recently, the passive and …

The brain-computer interface establishes a direct communication pathway between the
human brain and an external device by recognizing specific patterns in cortical activities …

Neuromarketing is a modern marketing research technique whereby consumers' behavior is
analyzed using neuroscientific approaches. In this work, an EEG database of consumers' …