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Detecting the effect of voice-over in tv ads via optic brain imaging (fnirs) and in-depth interview methods
(2016)
Voice-overs are used extensively to increase the effectiveness of the TV ads especially in the last decade. The main purpose is to provide the brand message via a clear feature that will inevitably grab the attention of ...
An investigation of the neural correlates of purchase behavior through fNIRS
(2018)
Purpose This study aims to explore the plausibility of the functional near-infrared spectroscopy (fNIRS) methodology for neuromarketing applications and develop a neurophysiologically-informed model of purchasing behavior ...
Extracting, computing, coordination: what does a triphasic ERP pattern say about language processing?
(Elsevier, 2021)
The current study aims at contributing to the interpretation of the most prominent language-related ERP effects, N400 and P600, by investigating how neural responses to congruent and incongruent sentence endings vary, when ...
A new benchmark dataset for P300 ERP-based BCI applications
(Academic Press Inc Elsevier Science, 2023)
Because of its non-invasive nature, one of the most commonly used event-related potentials in brain -computer interface (BCI) system designs is the P300 electroencephalogram (EEG) signal. The fact that the P300 response ...
Classification of skin lesion images with deep learning approaches
(University of Latvia, 2022)
Skin cancer is one of the most dangerous cancer types in the world. Like any other cancer type, early detection is the key factor for the patient's recovery. Integration of artificial intelligence with medical image ...