论文信息 - Classification algorithm for measuring human emotion: "I like it" and "I do not like" in Neuromarketing

Classification algorithm for measuring human emotion: "I like it" and "I do not like" in Neuromarketing

The main project objective is the creation of a classification algorithm to measure an important part of human emotion about what " we like " and what " we do not like " , using signals bio -electricas with neural networks. The resulting algorithm will be used for studies of neuromarketing .

Arnulfo Alanis Garza | Bogart Yail Marquez Lobato

[1] E. Engelhardt,et al. Neuropsychological aspects of depression , 2004 .

[2] Fabio Babiloni,et al. Electronic evaluation for video commercials by impression index , 2013, Cognitive Neurodynamics.

[3] Laura Astolfi,et al. On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research , 2011, Comput. Intell. Neurosci..

[4] Khalid Ait Hammou,et al. The Contributions of Neuromarketing in Marketing Research , 2013 .

[5] Fabio Babiloni,et al. Neurophysiological Tools to Investigate Consumer's Gender Differences during the Observation of TV Commercials , 2014, Comput. Math. Methods Medicine.

[6] Nick Lee,et al. Redefining neuromarketing as an integrated science of influence , 2015, Front. Hum. Neurosci..

[7] A. Mohanty,et al. Top-down modulation of attention by emotion , 2013, Front. Hum. Neurosci..

[8] M. Just,et al. Identifying Emotions on the Basis of Neural Activation , 2013, PloS one.

[9] T. Pavlidis,et al. Fuzzy sets and their applications to cognitive and decision processes , 1977 .