B. Khan, Managing E-Learning: Design, Delivery, Implementation and Evaluation, Information Science Publishing, 2005.
DOI : 10.4018/978-1-59140-634-1

T. Kaufmann, S. Sütterlin, S. M. Schulz, and C. Vögele, ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis. Behavior research methods, pp.1161-1170, 2011.
DOI : 10.3758/s13428-011-0107-7
URL : https://link.springer.com/content/pdf/10.3758%2Fs13428-011-0107-7.pdf

B. M. Appelhans and L. J. Luecken, Heart rate variability as an index of regulated emotional responding., Review of General Psychology, vol.10, issue.3, pp.229-240, 2006.
DOI : 10.1037/1089-2680.10.3.229

A. Zarrad and A. Zaguia, Building a dynamic context aware approach for smart e-learning system, 2015 Second International Conference on Computing Technology and Information Management (ICCTIM), pp.144-149, 2015.
DOI : 10.1109/ICCTIM.2015.7224609

R. Pekrun, T. Goetz, W. Titz, and R. P. Perry, Academic Emotions in Students' Self-Regulated Learning and Achievement: A Program of Qualitative and Quantitative Research, Educational Psychologist, vol.53, issue.2, pp.91-105, 2002.
DOI : 10.1037//0033-295X.92.4.548

K. Bahreini, R. Nadolski, and W. Westera, Towards multimodal emotion recognition in e-learning environments, Interactive Learning Environments, vol.1, issue.1, pp.590-605, 2016.
DOI : 10.1142/S0218001499000495

O. C. Santos, M. Saneiro, J. G. Boticario, and M. C. Rodriguez-sanchez, Toward interactive context-aware affective educational recommendations in computer-assisted language learning, New review of Hypermedia and Multimedia, pp.27-57, 2016.
DOI : 10.13031/2013.20213

K. Steele, K. Bass, and M. Cook, The Mystery of the Mozart Effect: Failure to Replicate, Psychological Science, vol.131, issue.4, pp.366-369, 1999.
DOI : 10.1080/00223989709603522

L. Mccuntheon, Another Failure to Generalize the Mozart Effect, Psychological Reports, vol.131, issue.1, pp.325-373, 2000.
DOI : 10.1080/00223989709603522

S. Ransdell and L. Gilroy, The effects of background music on word processed writing, Computers in Human Behavior, vol.17, issue.2, pp.141-148, 2001.
DOI : 10.1016/S0747-5632(00)00043-1

K. Kallinen, Reading news from a pocket computer in a distracting environment: effects of the tempo of background music., Computers in Human Behavior, vol.18, issue.5, pp.537-551, 2002.
DOI : 10.1016/S0747-5632(02)00005-5

W. F. Thompson, E. G. Schellenberg, and G. Hussain, Arousal, Mood, and The Mozart Effect, Psychological Science, vol.18, issue.3, pp.248-251, 2001.
DOI : 10.1002/cne.920180503

T. Wilson and T. Brown, Reexamination of the Effect of Mozart's Music on Spatial-Task Performance, The Journal of Psychology, vol.14, issue.4, pp.365-370, 1997.
DOI : 10.1093/jmt/14.4.151

D. Richards, E. Fassbender, A. Bilgin, and W. B. Thompson, An investigation of the role of background music in IVWs for learning, Research in Learning Technology, vol.16, issue.3, pp.231-244, 2008.
DOI : 10.3402/rlt.v16i3.10901

J. Kim and E. André, Emotion recognition based on physiological changes in music listening, IEEE Trans. Pattern Analysis and Machine Intel, vol.30, issue.12, pp.2067-2083, 2008.

K. Schaaff and M. T. Adam, Measuring Emotional Arousal for Online Applications: Evaluation of Ultra-short Term Heart Rate Variability Measures, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, pp.362-368, 2013.
DOI : 10.1109/ACII.2013.66

S. D. Kreibig, Autonomic nervous system activity in emotion: A review, Biological Psychology, vol.84, issue.3, pp.394-421, 2010.
DOI : 10.1016/j.biopsycho.2010.03.010

C. D. Katsis, . Kater, G. Ganiatsas, and D. I. Fotiadis, Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol.38, issue.3, 2008.
DOI : 10.1109/TSMCA.2008.918624

L. K. Mccorry, Physiology of the Autonomic Nervous System, American Journal of Pharmaceutical Education, vol.71, issue.4, p.78, 2007.
DOI : 10.5688/aj710478

J. V. Freeman, F. E. Dewey, ;. D. Hadley, J. Myers, and V. Froelicher, Autonomic Nervous System Interaction With the Cardiovascular System During Exercise, Progress in Cardiovascular Diseases, vol.48, issue.5, pp.342-362, 2006.
DOI : 10.1016/j.pcad.2005.11.003

B. M. Appelhans and L. J. Luecken, Heart rate variability as an index of regulated emotional responding Review of general psychology 23. Diffen; Parasympathetic vs. Sympathetic Nervous System, 2006.

T. Fruhata, T. Miyachi, and T. Adachi, Doze Driving Prevention System by Low Frequency Stimulation and High Density Oxygen with Fragrance of GF (Grape Fruit), International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, pp.11-20, 2011.
DOI : 10.1007/978-3-642-23854-3_2

S. W. Porges and D. C. Raskin, Respiratory and heart rate components of attention., Journal of Experimental Psychology, vol.81, issue.3, pp.497-503, 1969.
DOI : 10.1037/h0027921

J. E. Richards and B. J. Casey, Heart Rate Variability During Attention Phases in Young Infants, Psychophysiology, vol.4, issue.1, pp.43-53, 1991.
DOI : 10.1159/000240543

S. W. Porges, Heart rate indices of newborn attentional responsivity. Merill-Palmer Quart, pp.231-254, 1974.

K. K. Tripathi, C. Mukundan, and T. L. Mathew, Attentional modulation of heart rate variability (HRV) during execution of PC based cognitive tasks, Ind J Aerospace Med, vol.47, issue.1, pp.1-10, 2003.

K. Kallinen, Emotional ratings of music excerpts in the western art music repertoire and their self-organization in the Kohonen neural network, Psychology of Music, vol.49, issue.2, pp.373-393, 2005.
DOI : 10.1177/0305735691191004

J. Gião, J. Sarraipa, F. Francisco-xavier, F. Ferreira, R. Jardim-goncalves et al., Profiling Based on Music and Physiological State, the 8th International Conference on Interoperability For Enterprise Systems And Applications (I- ESA 2016), held on Guimarães, Portugal on, 2016.