{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T00:39:18Z","timestamp":1769215158563,"version":"3.49.0"},"reference-count":65,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T00:00:00Z","timestamp":1595808000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T00:00:00Z","timestamp":1595808000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100004035","name":"Jordan University of Science and Technology","doi-asserted-by":"publisher","award":["20180356"],"award-info":[{"award-number":["20180356"]}],"id":[{"id":"10.13039\/501100004035","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2021,2]]},"DOI":"10.1007\/s12652-020-02381-5","type":"journal-article","created":{"date-parts":[[2020,7,27]],"date-time":"2020-07-27T12:02:40Z","timestamp":1595851360000},"page":"2435-2447","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Gauging human visual interest using multiscale entropy analysis of EEG signals"],"prefix":"10.1007","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6352-5275","authenticated-orcid":false,"given":"M.","family":"Fraiwan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Alafeef","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Almomani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,27]]},"reference":[{"key":"2381_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-018-3738-0","author":"E Abdulhay","year":"2018","unstructured":"Abdulhay E, Alafeef M, Alzghoul L, AlMomani M, AlAbdi R, Arunkumar N, Munoz R, Albuquerque VHC (2018) Computer-aided autism diagnosis via second-order difference plot area applied to eeg empirical mode decomposition. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-018-3738-0","journal-title":"Neural Comput Appl"},{"issue":"2","key":"2381_CR2","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1016\/j.eij.2015.06.002","volume":"16","author":"S Abdulkader","year":"2015","unstructured":"Abdulkader S, Atia A, Mostafa M (2015) Brain computer interfacing: applications and challenges. Egypt Informat J 16(2):213\u2013230. https:\/\/doi.org\/10.1016\/j.eij.2015.06.002","journal-title":"Egypt Informat J"},{"key":"2381_CR3","doi-asserted-by":"publisher","unstructured":"Abujelala M, Abellanoza C, Sharma A, Makedon F (2016) Brain-ee: Brain enjoyment evaluation using commercial eeg headband. In: Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, ACM, New York, NY, USA, PETRA \u201916, pp 33:1\u201333:5. https:\/\/doi.org\/10.1145\/2910674.2910691","DOI":"10.1145\/2910674.2910691"},{"key":"2381_CR4","doi-asserted-by":"crossref","unstructured":"Acharya C, Thimbleby H, Oladimeji P (2010) Human computer interaction and medical devices. In: Proceedings of the 24th BCS interaction specialist group conference, British Computer Society, Swinton, UK, UK, BCS \u201910, pp 168\u2013176. http:\/\/dl.acm.org\/citation.cfm?id=2146303.2146329","DOI":"10.14236\/ewic\/HCI2010.22"},{"issue":"1","key":"2381_CR5","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.cedpsych.2010.08.001","volume":"36","author":"M Ainley","year":"2011","unstructured":"Ainley M, Ainley J (2011) Student engagement with science in early adolescence: the contribution of enjoyment to students\u2019 continuing interest in learning about science. Contemp Educ Psychol 36(1):4\u201312. https:\/\/doi.org\/10.1016\/j.cedpsych.2010.08.001","journal-title":"Contemp Educ Psychol"},{"issue":"7","key":"2381_CR6","doi-asserted-by":"publisher","first-page":"2701","DOI":"10.1007\/s12652-019-01329-8","volume":"11","author":"PRK Babu","year":"2019","unstructured":"Babu PRK, Lahiri U (2019) Classification approach for understanding implications of emotions using eye-gaze. J Ambient Intell Humaniz Comput 11(7):2701\u20132713. https:\/\/doi.org\/10.1007\/s12652-019-01329-8","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"2381_CR7","first-page":"215","volume-title":"Brain-computer interfaces","author":"V Bajaj","year":"2014","unstructured":"Bajaj V, Pachori RB (2014) Detection of human emotions using features based on the multiwavelet transform of EEG signals. Brain-computer interfaces. Springer, Berlin, pp 215\u2013240"},{"key":"2381_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-019-01580-8","author":"MD Basar","year":"2019","unstructured":"Basar MD, Duru AD, Akan A (2019) Emotional state detection based on common spatial patterns of eeg. SIViP. https:\/\/doi.org\/10.1007\/s11760-019-01580-8","journal-title":"SIViP"},{"key":"2381_CR9","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.jairtraman.2016.07.019","volume":"57","author":"V Bogicevic","year":"2016","unstructured":"Bogicevic V, Yang W, Cobanoglu C, Bilgihan A, Bujisic M (2016) Traveler anxiety and enjoyment: The effect of airport environment on traveler\u2019s emotions. J Air Transp Manag 57:122\u2013129. https:\/\/doi.org\/10.1016\/j.jairtraman.2016.07.019","journal-title":"J Air Transp Manag"},{"key":"2381_CR10","doi-asserted-by":"publisher","first-page":"068102","DOI":"10.1103\/PhysRevLett.89.068102","volume":"89","author":"M Costa","year":"2002","unstructured":"Costa M, Goldberger AL, Peng CK (2002) Multiscale entropy analysis of complex physiologic time series. Phys Rev Lett 89:068102. https:\/\/doi.org\/10.1103\/PhysRevLett.89.068102","journal-title":"Phys Rev Lett"},{"issue":"2 Pt 1","key":"2381_CR11","doi-asserted-by":"publisher","first-page":"021906","DOI":"10.1103\/PhysRevE.71.021906","volume":"71","author":"M Costa","year":"2005","unstructured":"Costa M, Goldberger AL, Peng CK (2005) Multiscale entropy analysis of biological signals. Phys Rev E Stat Nonlinear Soft Matter Phys 71(2 Pt 1):021906. https:\/\/doi.org\/10.1103\/PhysRevE.71.021906","journal-title":"Phys Rev E Stat Nonlinear Soft Matter Phys"},{"key":"2381_CR12","doi-asserted-by":"publisher","unstructured":"DeSanctis P, Butler JS, Green JM, Snyder AC, Foxe JJ (2012) Mobile brain\/body imaging (mobi): High-density electrical mapping of inhibitory processes during walking. In: 2012 Annual international conference of the IEEE engineering in medicine and biology society, pp 1542\u20131545. https:\/\/doi.org\/10.1109\/EMBC.2012.6346236","DOI":"10.1109\/EMBC.2012.6346236"},{"key":"2381_CR13","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1186\/s12863-014-0149-9","volume":"15","author":"VP Felipe","year":"2014","unstructured":"Felipe VP, Okut H, Gianola D, Silva MA, Rosa GJ (2014) Effect of genotype imputation on genome-enabled prediction of complex traits: an empirical study with mice data. BMC Genet 15:149. https:\/\/doi.org\/10.1186\/s12863-014-0149-9","journal-title":"BMC Genet"},{"issue":"3","key":"2381_CR14","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1080\/02701367.2009.10599600","volume":"80","author":"BC Focht","year":"2009","unstructured":"Focht BC (2009) Brief walks in outdoor and laboratory environments. Res Q Exerc Sport 80(3):611\u2013620. https:\/\/doi.org\/10.1080\/02701367.2009.10599600","journal-title":"Res Q Exerc Sport"},{"key":"2381_CR15","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.psychres.2017.02.012","volume":"251","author":"M Haghighi","year":"2017","unstructured":"Haghighi M, Ludyga S, Rahimi B, Jahangard L, Ahmadpanah M, Torabian S, Esnaashari F, Nazaribadie M, Bajoghli H, Bahmani DS, Holsboer-Trachsler E, Brand S (2017) In patients suffering from major depressive disorders, quantitative eeg showed favorable changes in left and right prefrontal cortex. Psychiatry Res 251:137\u2013141. https:\/\/doi.org\/10.1016\/j.psychres.2017.02.012","journal-title":"Psychiatry Res"},{"issue":"5","key":"2381_CR16","doi-asserted-by":"publisher","first-page":"1787","DOI":"10.1007\/s12652-017-0644-8","volume":"10","author":"Y Huang","year":"2017","unstructured":"Huang Y, Tian K, Wu A, Zhang G (2017) Feature fusion methods research based on deep belief networks for speech emotion recognition under noise condition. J Ambient Intell Humaniz Comput 10(5):1787\u20131798. https:\/\/doi.org\/10.1007\/s12652-017-0644-8","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"2381_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/618649","volume":"2013","author":"N Jatupaiboon","year":"2013","unstructured":"Jatupaiboon N, Pan-ngum S, Israsena P (2013) Real-time EEG-based happiness detection system. Sci World J 2013:1\u201312. https:\/\/doi.org\/10.1155\/2013\/618649","journal-title":"Sci World J"},{"issue":"2065","key":"2381_CR18","doi-asserted-by":"publisher","first-page":"20150202","DOI":"10.1098\/rsta.2015.0202","volume":"374","author":"I Jolliffe","year":"2016","unstructured":"Jolliffe I, Cadima J (2016) Principal component analysis: a review and recent developments. Philos Trans A Math Phys Eng Sci 374(2065):20150202\u201320150202. https:\/\/doi.org\/10.1098\/rsta.2015.0202","journal-title":"Philos Trans A Math Phys Eng Sci"},{"key":"2381_CR19","unstructured":"Jonathon S (2014) A tutorial on principal component analysis. CoRR arxiv:1404.1100"},{"key":"2381_CR20","doi-asserted-by":"publisher","first-page":"24561","DOI":"10.1038\/srep24561","volume":"6","author":"H Kawamichi","year":"2016","unstructured":"Kawamichi H, Sugawara SK, Hamano YH, Makita K, Kochiyama T, Sadato N (2016) Increased frequency of social interaction is associated with enjoyment enhancement and reward system activation. Sci Rep 6:24561\u201324561. https:\/\/doi.org\/10.1038\/srep24561","journal-title":"Sci Rep"},{"issue":"5","key":"2381_CR21","doi-asserted-by":"publisher","first-page":"606","DOI":"10.3844\/jcssp.2010.606.612","volume":"6","author":"M Kayri","year":"2010","unstructured":"Kayri M, Cokluk O (2010) Data optimization with multilayer perceptron neural network and using new pattern in decision tree comparatively. J Comput Sci 6(5):606\u2013612. https:\/\/doi.org\/10.3844\/jcssp.2010.606.612","journal-title":"J Comput Sci"},{"key":"2381_CR22","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1007\/978-3-642-13365-7_14","volume-title":"Information security and assurance","author":"T Kim","year":"2010","unstructured":"Kim T (2010) Pattern recognition using artificial neural network: A review. In: Bandyopadhyay SK, Adi W, Kim Th, Xiao Y (eds) Information security and assurance. Springer, Heidelberg, pp 138\u2013148"},{"key":"2381_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01456-2","author":"Y Kim","year":"2019","unstructured":"Kim Y, Moon J, Sung NJ, Hong M (2019) Correlation between selected gait variables and emotion using virtual reality. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-019-01456-2","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"2381_CR24","doi-asserted-by":"publisher","first-page":"626","DOI":"10.3389\/fnhum.2015.00626","volume":"9","author":"KL Kontson","year":"2015","unstructured":"Kontson KL, Megjhani M, Brantley J, Cruz-Garza J, Nakagome S, Robleto D, White M, Civillico E, Contreras-Vidal J (2015) Your brain on art: emergent cortical dynamics during aesthetic experiences. Front Hum Neurosci 9:626. https:\/\/doi.org\/10.3389\/fnhum.2015.00626","journal-title":"Front Hum Neurosci"},{"issue":"2","key":"2381_CR25","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1038\/nbt1386","volume":"26","author":"A Krogh","year":"2008","unstructured":"Krogh A (2008) What are artificial neural networks? Nat Biotechnol 26(2):195\u20137. https:\/\/doi.org\/10.1038\/nbt1386","journal-title":"Nat Biotechnol"},{"key":"2381_CR26","doi-asserted-by":"crossref","unstructured":"Kwon M, Kang J, Lee M (2013) Emotion classification in movie clips based on 3d fuzzy gist and eeg signal analysis. In: 2013 International winter workshop on brain-computer interface (BCI), pp 67\u201368","DOI":"10.1109\/IWW-BCI.2013.6506633"},{"issue":"3","key":"2381_CR27","doi-asserted-by":"publisher","first-page":"R789","DOI":"10.1152\/ajpregu.00069.2002","volume":"283","author":"DE Lake","year":"2002","unstructured":"Lake DE, Richman JS, Griffin MP, Moorman JR (2002) Sample entropy analysis of neonatal heart rate variability. Am J Physiol Regul Integr Comp Physiol 283(3):R789\u201397. https:\/\/doi.org\/10.1152\/ajpregu.00069.2002","journal-title":"Am J Physiol Regul Integr Comp Physiol"},{"issue":"4","key":"2381_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0095415","volume":"9","author":"Y Lee","year":"2014","unstructured":"Lee Y, Hsieh S (2014) Classifying different emotional states by means of eeg-based functional connectivity patterns. PLoS ONE 9(4):1\u201313. https:\/\/doi.org\/10.1371\/journal.pone.0095415","journal-title":"PLoS ONE"},{"key":"2381_CR29","doi-asserted-by":"publisher","unstructured":"Liang Z, Liu H, Mak JN (2016) Detection of media enjoyment using single-channel eeg. In: 2016 IEEE biomedical circuits and systems conference (BioCAS), pp 516\u2013519. https:\/\/doi.org\/10.1109\/BioCAS.2016.7833845","DOI":"10.1109\/BioCAS.2016.7833845"},{"key":"2381_CR30","doi-asserted-by":"publisher","unstructured":"Li M, Lu BL (2009) Emotion classification based on gamma-band eeg. In: 2009 Annual international conference of the IEEE engineering in medicine and biology society, pp 1223\u20131226, https:\/\/doi.org\/10.1109\/IEMBS.2009.5334139","DOI":"10.1109\/IEMBS.2009.5334139"},{"issue":"7","key":"2381_CR31","doi-asserted-by":"publisher","first-page":"1798","DOI":"10.1109\/TBME.2010.2048568","volume":"57","author":"YP Lin","year":"2010","unstructured":"Lin YP, Wang CH, Jung TP, Wu TL, Jeng SK, Duann JR, Chen JH (2010) EEG-based emotion recognition in music listening. IEEE Trans Biomed Eng 57(7):1798\u20131806","journal-title":"IEEE Trans Biomed Eng"},{"issue":"5","key":"2381_CR32","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s13042-016-0601-4","volume":"9","author":"S Liu","year":"2018","unstructured":"Liu S, Tong J, Meng J, Yang J, Zhao X, He F, Qi H, Ming D (2018) Study on an effective cross-stimulus emotion recognition model using eegs based on feature selection and support vector machine. Int J Mach Learn Cybernet 9(5):721\u2013726. https:\/\/doi.org\/10.1007\/s13042-016-0601-4","journal-title":"Int J Mach Learn Cybernet"},{"issue":"4","key":"2381_CR33","doi-asserted-by":"publisher","first-page":"723","DOI":"10.1007\/s10916-009-9409-z","volume":"35","author":"K Lweesy","year":"2011","unstructured":"Lweesy K, Fraiwan L, Khasawneh N, Dickhaus H (2011) New automated detection method of osa based on artificial neural networks using p-wave shape and time changes. J Med Syst 35(4):723\u201334. https:\/\/doi.org\/10.1007\/s10916-009-9409-z","journal-title":"J Med Syst"},{"issue":"4","key":"2381_CR34","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/s10919-007-0036-4","volume":"31","author":"M Lynden","year":"2007","unstructured":"Lynden M, Lucy J (2007) Detecting happiness: Perceiver sensitivity to enjoyment and non-enjoyment smiles. J Nonverb Behav 31(4):259\u2013275. https:\/\/doi.org\/10.1007\/s10919-007-0036-4","journal-title":"J Nonverb Behav"},{"issue":"2","key":"2381_CR35","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.neulet.2012.10.039","volume":"531","author":"TL McLellan","year":"2012","unstructured":"McLellan TL, Wilcke JC, Johnston L, Watts R, Miles LK (2012) Sensitivity to posed and genuine displays of happiness and sadness: a fmri study. Neurosci Lett 531(2):149\u2013154. https:\/\/doi.org\/10.1016\/j.neulet.2012.10.039","journal-title":"Neurosci Lett"},{"issue":"9","key":"2381_CR36","doi-asserted-by":"publisher","first-page":"1438","DOI":"10.1016\/j.clinph.2010.03.025","volume":"121","author":"T Mizuno","year":"2010","unstructured":"Mizuno T, Takahashi T, Cho RY, Kikuchi M, Murata T, Takahashi K, Wada Y (2010) Assessment of eeg dynamical complexity in alzheimer\u2019s disease using multiscale entropy. Clin Neurophysiol 121(9):1438\u201346. https:\/\/doi.org\/10.1016\/j.clinph.2010.03.025","journal-title":"Clin Neurophysiol"},{"issue":"6","key":"2381_CR37","doi-asserted-by":"publisher","first-page":"1365","DOI":"10.1007\/s11760-013-0591-6","volume":"9","author":"M Naji","year":"2015","unstructured":"Naji M, Firoozabadi M, Azadfallah P (2015) Emotion classification during music listening from forehead biosignals. SIViP 9(6):1365\u20131375","journal-title":"SIViP"},{"key":"2381_CR38","unstructured":"Neuroelectrics (2018) Starstim. https:\/\/www.neuroelectrics.com\/products\/starstim\/. Accessed 10 July 2018"},{"key":"2381_CR39","doi-asserted-by":"publisher","unstructured":"Nijholt A, Reuderink B, Oude BD (2009) Turning shortcomings into challenges: Brain-computer interfaces for games. In: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer, Berlin, pp 153\u2013168. https:\/\/doi.org\/10.1007\/978-3-642-02315-6_15","DOI":"10.1007\/978-3-642-02315-6_15"},{"issue":"3","key":"2381_CR40","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1080\/1034912X.2015.1122176","volume":"63","author":"A Nyquist","year":"2016","unstructured":"Nyquist A, Moser T, Jahnsen R (2016) Fitness, fun and friends through participation in preferred physical activities: Achievable for children with disabilities? Int J Disabil Dev Educ 63(3):334\u2013356. https:\/\/doi.org\/10.1080\/1034912X.2015.1122176","journal-title":"Int J Disabil Dev Educ"},{"issue":"1","key":"2381_CR41","doi-asserted-by":"publisher","first-page":"53","DOI":"10.11121\/ijocta.01.2011.0038","volume":"1","author":"U Okkan","year":"2011","unstructured":"Okkan U (2011) Application of levenberg-marquardt optimization algorithm based multilayer neural networks for hydrological time series modeling. IJOCTA 1(1):53\u201363. https:\/\/doi.org\/10.11121\/ijocta.01.2011.0038","journal-title":"IJOCTA"},{"issue":"3","key":"2381_CR42","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1017\/s0016672310000662","volume":"93","author":"H Okut","year":"2011","unstructured":"Okut H, Gianola D, Rosa GJ, Weigel KA (2011) Prediction of body mass index in mice using dense molecular markers and a regularized neural network. Genet Res 93(3):189\u2013201. https:\/\/doi.org\/10.1017\/s0016672310000662","journal-title":"Genet Res"},{"issue":"13","key":"2381_CR43","doi-asserted-by":"publisher","first-page":"5858","DOI":"10.1016\/j.eswa.2014.03.026","volume":"41","author":"C Ooi","year":"2014","unstructured":"Ooi C, Seng K, Ang L, Chew L (2014) A new approach of audio emotion recognition. Expert Syst Appl 41(13):5858\u20135869. https:\/\/doi.org\/10.1016\/j.eswa.2014.03.026","journal-title":"Expert Syst Appl"},{"key":"2381_CR44","doi-asserted-by":"publisher","first-page":"659","DOI":"10.3389\/fpsyg.2013.00659","volume":"4","author":"M Perron","year":"2013","unstructured":"Perron M, Roy-Charland A (2013) Analysis of eye movements in the judgment of enjoyment and non-enjoyment smiles. Front Psychol 4:659\u2013659. https:\/\/doi.org\/10.3389\/fpsyg.2013.00659","journal-title":"Front Psychol"},{"issue":"10","key":"2381_CR45","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1109\/34.954607","volume":"23","author":"RW Picard","year":"2001","unstructured":"Picard RW, Vyzas E, Healey J (2001) Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Trans Pattern Anal Mach Intell 23(10):1175\u20131191. https:\/\/doi.org\/10.1109\/34.954607","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2381_CR46","unstructured":"Plotnikov A, Stakheika N, Schatten C, Bellotti F, Pranantha D, Berta R, DeGloria A (2012) Measuring enjoyment in games through electroencephalogram (eeg) signal analysis. In: Proceedings of the European conference on games based learning, vol\u00a01, p 393"},{"key":"2381_CR47","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.neuropsychologia.2018.01.043","volume":"116","author":"P Riccardo","year":"2018","unstructured":"Riccardo P, Martina P, Marco C, Sara B, Alessio A (2018) Visual, sensorimotor and cognitive routes to understanding others\u2019 enjoyment: an individual differences rtms approach to empathic accuracy. Neuropsychologia 116:86\u201398. https:\/\/doi.org\/10.1016\/j.neuropsychologia.2018.01.043 (special Issue: The Neuroscience of Empathy)","journal-title":"Neuropsychologia"},{"issue":"6","key":"2381_CR48","doi-asserted-by":"publisher","first-page":"H2039","DOI":"10.1152\/ajpheart.2000.278.6.H2039","volume":"278","author":"JS Richman","year":"2000","unstructured":"Richman JS, Moorman JR (2000) Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol 278(6):H2039\u201349. https:\/\/doi.org\/10.1152\/ajpheart.2000.278.6.H2039","journal-title":"Am J Physiol Heart Circ Physiol"},{"key":"2381_CR49","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/s0076-6879(04)84011-4","volume":"384","author":"JS Richman","year":"2004","unstructured":"Richman JS, Lake DE, Moorman JR (2004) Sample entropy. Methods Enzymol 384:172\u201384. https:\/\/doi.org\/10.1016\/s0076-6879(04)84011-4","journal-title":"Methods Enzymol"},{"key":"2381_CR50","unstructured":"Robleto D (2018) The boundary of life is quietly crossed. https:\/\/www.menil.org\/exhibitions\/34-dario-robleto-the-boundary-of-life-is-quietly-crossed. Accessed 10 July 2018"},{"key":"2381_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01280-8","author":"LO Sawada","year":"2019","unstructured":"Sawada LO, Mano LY, Neto JRT, Ueyama J (2019) A module-based framework to emotion recognition by speech: a case study in clinical simulation. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-019-01280-8","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"2381_CR52","doi-asserted-by":"publisher","unstructured":"Sekawati L, Maulidevi NU, Suprijanto S (2016) Machine learning to predict person\u2019s interest towards visual object by utilizing eeg signal. In: 2016 International conference on data and software engineering (ICoDSE), pp 1\u20136. https:\/\/doi.org\/10.1109\/ICODSE.2016.7936120","DOI":"10.1109\/ICODSE.2016.7936120"},{"issue":"10","key":"2381_CR53","doi-asserted-by":"publisher","first-page":"3831","DOI":"10.1007\/s12652-019-01196-3","volume":"10","author":"J Seo","year":"2019","unstructured":"Seo J, Laine TH, Sohn KA (2019) Machine learning approaches for boredom classification using EEG. J Ambient Intell Humaniz Comput 10(10):3831\u20133846. https:\/\/doi.org\/10.1007\/s12652-019-01196-3","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"2381_CR54","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01492-y","author":"A Sivasangari","year":"2019","unstructured":"Sivasangari A, Ajitha P, Rajkumar I, Poonguzhali S (2019) Emotion recognition system for autism disordered people. J Ambient Intell Humaniz Comput. https:\/\/doi.org\/10.1007\/s12652-019-01492-y","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"1","key":"2381_CR55","doi-asserted-by":"publisher","first-page":"49","DOI":"10.4103\/jrms.JRMS_124_18","volume":"23","author":"S Soltani","year":"2018","unstructured":"Soltani S (2018) Enjoyment in physical activities: What people with disabilities need to promote their health. J Res Med Sci 23(1):49. https:\/\/doi.org\/10.4103\/jrms.JRMS_124_18","journal-title":"J Res Med Sci"},{"issue":"6","key":"2381_CR56","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1007\/s11760-019-01455-y","volume":"13","author":"M Soroush","year":"2019","unstructured":"Soroush M, Maghooli K, Setarehdan SK, Nasrabadi AM (2019) A novel eeg-based approach to classify emotions through phase space dynamics. SIViP 13(6):1149\u20131156","journal-title":"SIViP"},{"key":"2381_CR57","doi-asserted-by":"publisher","unstructured":"Steptoe A, DeOliveira C, Demakakos P, Zaninotto P (2014) Enjoyment of life and declining physical function at older ages: a longitudinal cohort study. CMAJ 186(4):E150\u2013E156. https:\/\/doi.org\/10.1503\/cmaj.131155","DOI":"10.1503\/cmaj.131155"},{"key":"2381_CR58","doi-asserted-by":"publisher","unstructured":"Tabrizi SS, Cavus N (2017) Hci standards for developing mobile learning applications in education. In: INTED2017 Proceedings, IATED, 11th international technology, education and development conference, pp 6507\u20136513. https:\/\/doi.org\/10.21125\/inted.2017.1504,","DOI":"10.21125\/inted.2017.1504"},{"key":"2381_CR59","unstructured":"Teachers Choice (2018) http:\/\/www.teacherschoice.com.au\/Maths_Library\/Calculus\/area_under_a_curve.htm. Accessed 2 Aug 2018"},{"key":"2381_CR60","doi-asserted-by":"publisher","unstructured":"Tobar D, Reed K, Berger G (2016) Neuroticism and gender on affect and feelings during and after a crossfit workout: 2523 board #46 june 3, 11: 00 am\u201312: 30 pm. Med Sci Sports Exerc 48(5S Suppl 1):696, https:\/\/doi.org\/10.1249\/01.mss.0000487092.88699.27","DOI":"10.1249\/01.mss.0000487092.88699.27"},{"key":"2381_CR61","unstructured":"Wei J (2012) Exploration of human-computer interaction (hci) applications in hospitality industry. In: UNLV Theses, Dissertations, Professional Papers, and Capstones. https:\/\/digitalscholarship.unlv.edu\/thesesdissertations\/1352"},{"issue":"8","key":"2381_CR62","doi-asserted-by":"publisher","first-page":"e0134083","DOI":"10.1371\/journal.pone.0134083","volume":"10","author":"W Weng","year":"2015","unstructured":"Weng W, Jiang G, Chang C, Lu W, Lin C, Lee W, Shieh J (2015) Complexity of multi-channel electroencephalogram signal analysis in childhood absence epilepsy. PLoS One 10(8):e0134083. https:\/\/doi.org\/10.1371\/journal.pone.0134083","journal-title":"PLoS One"},{"key":"2381_CR63","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.chb.2015.02.016","volume":"49","author":"H Yu-Feng","year":"2015","unstructured":"Yu-Feng H, Feng-Yang K, Phan L, Don T, Po-Jang H (2015) Hedonic evaluation can be automatically performed: An electroencephalography study of website impression across two cultures. Comput Hum Behav 49:138\u2013146. https:\/\/doi.org\/10.1016\/j.chb.2015.02.016","journal-title":"Comput Hum Behav"},{"issue":"1","key":"2381_CR64","doi-asserted-by":"publisher","first-page":"29","DOI":"10.5565\/rev\/elcvia.1045","volume":"17","author":"H Zamanian","year":"2018","unstructured":"Zamanian H, Farsi H (2018) A new feature extraction method to improve emotion detection using EEG signals. ELCVIA Electron Lett Comput Vis Image Anal 17(1):29","journal-title":"ELCVIA Electron Lett Comput Vis Image Anal"},{"issue":"1","key":"2381_CR65","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s12652-012-0107-1","volume":"4","author":"Y Zhao","year":"2012","unstructured":"Zhao Y, Wang X, Goubran M, Whalen T, Petriu EM (2012) Human emotion and cognition recognition from body language of the head using soft computing techniques. J Ambient Intell Humaniz Comput 4(1):121\u2013140. https:\/\/doi.org\/10.1007\/s12652-012-0107-1","journal-title":"J Ambient Intell Humaniz Comput"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02381-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-020-02381-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-020-02381-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T00:09:14Z","timestamp":1627344554000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-020-02381-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,27]]},"references-count":65,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,2]]}},"alternative-id":["2381"],"URL":"https:\/\/doi.org\/10.1007\/s12652-020-02381-5","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,27]]},"assertion":[{"value":"26 September 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 July 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}