Main Article Content
L. M. Keefe, “What Is the Meaning of Marketing?” Marketing News, pp. 17-18. Sep. 15, 2004.
G. Du-Jian, L. Wang, Q. Zheng, Y. Liu-Li, “Neuromarketing: Marketing through Science”, International Joint Conference on Service Sciences (IJCSS), pp.285-289. Mayo, 2012.
M. Soleymani, G. Chanel, J. J. Kierkels, T. Pun, “Affective Characterization of Movie Scenes Based on Multimedia Content Analysis and User’s Physiological Emotional Responses”, ISM 2008. Tenth IEEE International Symposium on Multimedia, pp.228-235, 15-17 December, 2008.
K. Yaomanee, S. Pan-ngum, P. I. N. Ayuthaya, “Brain signal detection methodology for attention training using minimal EEG channels”,10th International Conference on ICT and Knowledge Engineering (ICT & Knowledge Engineering), pp. 84-89, Nov. 21-23,2012.
H. Kiwan, K. Jeonghun, L. Hyeongrae, P. Jinsick, C. Sangwoo, K. Jae-Jin, K. In Young; S. I. Kim, “Measurement of Expression Characteristics in Emotional Situations using Virtual Reality”, IEEE Conference on Virtual Reality (VR 2009), pp. 265, 266, March14-18, 2009.
I. A. Oz, M. M. Khan, “Efficacy of biophysiological measurements at FTFPs for facial expression classification: A validation”, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), pp.108-111, January 5-7, 2012.
Z. Ren, X. Qi, G. Zhou, H. Wang, “Exploiting the Data Sensitivity of Neurometric Fidelity for Optimizing EEG Sensing”, Internet of Things Journal, IEEE , no. 99, pp. 1-11, 2014.
Y. Chih-Chin, J. T. Huang, “The era of Cloud Computer thru bio-detecting and openresources to achieve the Ubiquitous devices”, IEEE International Conference on Consumer Electronics (ICCE), pp.580-583. January, 2012.
L. Grimaldi, “Measuring the Efficacy of Advertising Communication with Neuroscience Methods: An Experiment Performed by Telecom Italia”, Pulse, IEEE, vol. 3, no. 3, pp. 48-52. May 2012.
C. Chuan-Yu, L. Yu-Mon, Z. Jun-Ying, “Physiological Angry Emotion Detection Using Support Vector Regression”,15th International Conference on Network-Based Information Systems (NBiS), pp.592-596. Sep. 2012.
H. Touyama, “Post-saccadic event related potential toward a new technique for information retrieval”, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2939-2942. Oct. 2012.
R. Ohme, M. Matukin, “A Small Frog That Makes a Big Difference: Brain Wave Testing of TV Advertisements”, Pulse, IEEE, vol. 3, no. 3, pp. 28-33. Mayo, 2012.
M. Eid, A. Fernández, “Read Go Go!: Towards real-time notification on readers’ state of attention”, XXIV International Symposium on Information, Communication and Automation Technologies (ICAT), pp.1-6. Nov. 2013.
J. Katona, I. Farkas, T. Ujbanyi, P. Dukan, A. Kovari, A., “Evaluation of the NeuroSky MindFlex EEG headset brain waves data”, IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 91-94, January 23-25, 2014.
W. A. Dijk, W. van der Velde, W. J. M. Kolkman, H. J. G. M. Crijns, K. I. Lie, “Integration of the Marquette ECG management system into the Department Information System using the European SCP-ECG Standard”, Computers in Cardiology, pp.397-400, Sep.10- 13,1995.
H. Boutani, M. Ohsuga, “Applicability of the ‘Emotiv EEG Neuroheadset’ as a user-friendly input interface”, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.1346-1349, Jul.3-7, 2013.
K. Holewa, A. Nawrocka, “Emotiv EPOC neuroheadset in brain- computer interface”, 15th International Carpathian Control Conference (ICCC), pp.149-152, May28-30, 2014.
K. George, A. Iniguez, H. Donze, “Automated sensing, interpretation and conversion of facial and mental expressions into text acronyms using brain-computer interface technology”, Proceedings of 2014 IEEE International Conference on Instrumentation and Measurement Technology (I2MTC), pp.1247-1250, May 12-15, 2014.