{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T04:48:40Z","timestamp":1746679720437,"version":"3.40.3"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031725234"},{"type":"electronic","value":"9783031725241"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-72524-1_15","type":"book-chapter","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T10:52:50Z","timestamp":1735210370000},"page":"194-206","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Finding Beauty in\u00a0Mobile EEG When Visiting Art Exhibitions"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6177-0928","authenticated-orcid":false,"given":"Maurizio","family":"Palmieri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8547-0348","authenticated-orcid":false,"given":"Marco","family":"Avvenuti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2767-0699","authenticated-orcid":false,"given":"Alejandro Luis","family":"Callara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5895-876X","authenticated-orcid":false,"given":"Francesco","family":"Marcelloni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6894-7338","authenticated-orcid":false,"given":"Alessio","family":"Vecchio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,12,27]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","unstructured":"Mobile EEG recordings in an art museum setting (2017). https:\/\/doi.org\/10.21227\/H2TM00","DOI":"10.21227\/H2TM00"},{"issue":"3","key":"15_CR2","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1037\/1089-2680.10.3.229","volume":"10","author":"BM Appelhans","year":"2006","unstructured":"Appelhans, B.M., Luecken, L.J.: Heart rate variability as an index of regulated emotional responding. Rev. Gen. Psychol. 10(3), 229\u2013240 (2006)","journal-title":"Rev. Gen. Psychol."},{"key":"15_CR3","doi-asserted-by":"publisher","unstructured":"Babiloni, F., et al.: The great beauty: a neuroaesthetic study by neuroelectric imaging during the observation of the real michelangelo\u2019s moses sculpture. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 6965\u20136968 (2014). https:\/\/doi.org\/10.1109\/EMBC.2014.6945230","DOI":"10.1109\/EMBC.2014.6945230"},{"key":"15_CR4","doi-asserted-by":"publisher","unstructured":"Babiloni, F., et al.: Neuroelectric brain imaging during a real visit of a fine arts gallery: a neuroaesthetic study of xvii century Dutch painters. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6179\u20136182 (2013). https:\/\/doi.org\/10.1109\/EMBC.2013.6610964","DOI":"10.1109\/EMBC.2013.6610964"},{"key":"15_CR5","doi-asserted-by":"publisher","unstructured":"Babiloni, F., et al.: The first impression is what matters: a neuroaesthetic study of the cerebral perception and appreciation of paintings by titian. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 7990\u20137993 (2015). https:\/\/doi.org\/10.1109\/EMBC.2015.7320246","DOI":"10.1109\/EMBC.2015.7320246"},{"key":"15_CR6","doi-asserted-by":"publisher","unstructured":"B\u0103lan, O., Moise, G., Petrescu, L., Moldoveanu, A., Leordeanu, M., Moldoveanu, F.: Emotion classification based on biophysical signals and machine learning techniques. Symmetry 12(1) (2020). https:\/\/doi.org\/10.3390\/sym12010021, https:\/\/www.mdpi.com\/2073-8994\/12\/1\/21","DOI":"10.3390\/sym12010021"},{"key":"15_CR7","doi-asserted-by":"publisher","unstructured":"Bonsignori, C., et al.: Estimation of user\u2019s orientation via wearable UWB. In: 2020 16th International Conference on Intelligent Environments (IE), pp. 80\u201383 (2020). https:\/\/doi.org\/10.1109\/IE49459.2020.9154983","DOI":"10.1109\/IE49459.2020.9154983"},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"Boucsein, W.: Electrodermal Activity. Springer Science & Business Media (2012)","DOI":"10.1007\/978-1-4614-1126-0"},{"issue":"5","key":"15_CR9","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1109\/TNSRE.2020.2981991","volume":"28","author":"AL Callara","year":"2020","unstructured":"Callara, A.L., Morelli, M.S., Hartwig, V., Landini, L., Giannoni, A., Passino, C., Emdin, M., Vanello, N.: LD-EEG effective brain connectivity in patients with cheyne-stokes respiration. IEEE Trans. Neural Syst. Rehabil. Eng. 28(5), 1216\u20131225 (2020)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"5","key":"15_CR10","doi-asserted-by":"publisher","first-page":"056050","DOI":"10.1088\/1741-2552\/ac28d2","volume":"18","author":"AL Callara","year":"2021","unstructured":"Callara, A.L., Greco, A., Frasnelli, J., Rho, G., Vanello, N., Scilingo, E.P.: Cortical network and connectivity underlying hedonic olfactory perception. J. Neural Eng. 18(5), 056050 (2021)","journal-title":"J. Neural Eng."},{"issue":"10","key":"15_CR11","doi-asserted-by":"publisher","first-page":"3019","DOI":"10.1109\/TBME.2021.3060867","volume":"68","author":"AL Callara","year":"2021","unstructured":"Callara, A.L., Sebastiani, L., Vanello, N., Scilingo, E.P., Greco, A.: Parasympathetic-sympathetic causal interactions assessed by time-varying multivariate autoregressive modeling of electrodermal activity and heart-rate-variability. IEEE Trans. Biomed. Eng. 68(10), 3019\u20133028 (2021)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"12","key":"15_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0244820","volume":"15","author":"T Chabin","year":"2021","unstructured":"Chabin, T., Gabriel, D., Haffen, E., Moulin, T., Pazart, L.: Are the new mobile wireless EEG headsets reliable for the evaluation of musical pleasure? PLOS ONE 15(12), 1\u201319 (2021). https:\/\/doi.org\/10.1371\/journal.pone.0244820","journal-title":"PLOS ONE"},{"key":"15_CR13","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002). https:\/\/doi.org\/10.1613\/jair.953","journal-title":"J. Artif. Intell. Res."},{"key":"15_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1007\/978-3-319-68600-4_25","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2017","author":"P Chen","year":"2017","unstructured":"Chen, P., Zhang, J.: Performance comparison of machine learning algorithms for EEG-signal-based emotion recognition. In: Lintas, A., Rovetta, S., Verschure, P.F.M.J., Villa, A.E.P. (eds.) ICANN 2017. LNCS, vol. 10613, pp. 208\u2013216. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-68600-4_25"},{"issue":"2","key":"15_CR15","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1109\/JBHI.2020.2995767","volume":"25","author":"J Cheng","year":"2020","unstructured":"Cheng, J., et al.: Emotion recognition from multi-channel EEG via deep forest. IEEE J. Biomed. Health Inform. 25(2), 453\u2013464 (2020). https:\/\/doi.org\/10.1109\/JBHI.2020.2995767","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"15_CR16","doi-asserted-by":"publisher","unstructured":"Cruz-Garza, J.G., et al.: Deployment of mobile EEG technology in an art museum setting: evaluation of signal quality and usability. Front. Hum. Neurosci. 11 (2017). https:\/\/doi.org\/10.3389\/fnhum.2017.00527, https:\/\/www.frontiersin.org\/articles\/10.3389\/fnhum.2017.00527","DOI":"10.3389\/fnhum.2017.00527"},{"key":"15_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106243","volume":"205","author":"H Cui","year":"2020","unstructured":"Cui, H., Liu, A., Zhang, X., Chen, X., Wang, K., Chen, X.: EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network. Knowl.-Based Syst. 205, 106243 (2020). https:\/\/doi.org\/10.1016\/j.knosys.2020.106243","journal-title":"Knowl.-Based Syst."},{"issue":"1","key":"15_CR18","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","volume":"134","author":"A Delorme","year":"2004","unstructured":"Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134(1), 9\u201321 (2004). https:\/\/doi.org\/10.1016\/j.jneumeth.2003.10.009","journal-title":"J. Neurosci. Methods"},{"key":"15_CR19","doi-asserted-by":"crossref","unstructured":"Electrophysiology, T.F.O.T.E.S.O.C.T.N.A.S.O.P.: Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation 93(5), 1043\u20131065 (1996)","DOI":"10.1161\/01.CIR.93.5.1043"},{"key":"15_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.119867","volume":"268","author":"T Engelen","year":"2023","unstructured":"Engelen, T., Buot, A., Gr\u00e8zes, J., Tallon-Baudry, C.: Whose emotion is it? perspective matters to understand brain-body interactions in emotions. Neuroimage 268, 119867 (2023)","journal-title":"Neuroimage"},{"issue":"1","key":"15_CR21","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1089\/brain.2011.0008","volume":"1","author":"KJ Friston","year":"2011","unstructured":"Friston, K.J.: Functional and effective connectivity: a review. Brain Connectivity 1(1), 13\u201336 (2011)","journal-title":"Brain Connectivity"},{"key":"15_CR22","unstructured":"Greco, A., et al.: Acute stress state classification based on electrodermal activity modeling. IEEE Trans. Affect. Comput. (2021)"},{"issue":"7","key":"15_CR23","doi-asserted-by":"publisher","first-page":"2115","DOI":"10.1109\/TBME.2019.2913928","volume":"66","author":"B He","year":"2019","unstructured":"He, B., et al.: Electrophysiological brain connectivity: theory and implementation. IEEE Trans. Biomed. Eng. 66(7), 2115\u20132137 (2019)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"15","key":"15_CR24","doi-asserted-by":"publisher","first-page":"12527","DOI":"10.1007\/s00521-022-07292-4","volume":"34","author":"EH Houssein","year":"2022","unstructured":"Houssein, E.H., Hammad, A., Ali, A.A.: Human emotion recognition from EEG-based brain-computer interface using machine learning: a comprehensive review. Neural Comput. Appl. 34(15), 12527\u201312557 (2022). https:\/\/doi.org\/10.1007\/s00521-022-07292-4","journal-title":"Neural Comput. Appl."},{"key":"15_CR25","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1016\/j.neuroimage.2013.09.055","volume":"84","author":"L Hu","year":"2014","unstructured":"Hu, L., Xiao, P., Zhang, Z., Mouraux, A., Iannetti, G.D.: Single-trial time-frequency analysis of electrocortical signals: Baseline correction and beyond. Neuroimage 84, 876\u2013887 (2014). https:\/\/doi.org\/10.1016\/j.neuroimage.2013.09.055","journal-title":"Neuroimage"},{"issue":"4","key":"15_CR26","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1159\/000486870","volume":"75","author":"R Ishii","year":"2018","unstructured":"Ishii, R., et al.: Healthy and pathological brain aging: from the perspective of oscillations, functional connectivity, and signal complexity. Neuropsychobiology 75(4), 151\u2013161 (2018)","journal-title":"Neuropsychobiology"},{"issue":"7","key":"15_CR27","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0021852","volume":"6","author":"T Ishizu","year":"2011","unstructured":"Ishizu, T., Zeki, S.: Toward a brain-based theory of beauty. PLoS ONE 6(7), e21852 (2011)","journal-title":"PLoS ONE"},{"issue":"4","key":"15_CR28","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1152\/jn.00696.2003","volume":"91","author":"H Kawabata","year":"2004","unstructured":"Kawabata, H., Zeki, S.: Neural correlates of beauty. J. Neurophysiol. 91(4), 1699\u20131705 (2004). https:\/\/doi.org\/10.1152\/jn.00696.2003","journal-title":"J. Neurophysiol."},{"key":"15_CR29","doi-asserted-by":"publisher","unstructured":"Kontson, K., et al.: \u2018Your Brain on Art\u2019: emergent cortical dynamics during aesthetic experiences. Front. Hum. Neurosci. 9 (2015) https:\/\/doi.org\/10.3389\/fnhum.2015.00626, https:\/\/www.frontiersin.org\/articles\/10.3389\/fnhum.2015.00626","DOI":"10.3389\/fnhum.2015.00626"},{"key":"15_CR30","unstructured":"Kothe, C.A.E., Jung, T.P.: Artifact removal techniques with signal reconstruction (2016). uS Patent App. 14\/895,440"},{"key":"15_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40708-020-00118-w","volume":"7","author":"R Li","year":"2020","unstructured":"Li, R., Zhang, J.: Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer science. Brain Inform. 7, 1\u201317 (2020). https:\/\/doi.org\/10.1186\/s40708-020-00118-w","journal-title":"Brain Inform."},{"key":"15_CR32","doi-asserted-by":"publisher","unstructured":"Molau, S., Pitz, M., Schluter, R., Ney, H.: Computing mel-frequency cepstral coefficients on the power spectrum. In: 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings, vol.\u00a01, pp. 73\u201376 (2001). https:\/\/doi.org\/10.1109\/ICASSP.2001.940770","DOI":"10.1109\/ICASSP.2001.940770"},{"issue":"2","key":"15_CR33","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1038\/nrn2317","volume":"9","author":"L Pessoa","year":"2008","unstructured":"Pessoa, L.: On the relationship between emotion and cognition. Nat. Rev. Neurosci. 9(2), 148\u2013158 (2008)","journal-title":"Nat. Rev. Neurosci."},{"issue":"11","key":"15_CR34","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1038\/nrn2920","volume":"11","author":"L Pessoa","year":"2010","unstructured":"Pessoa, L., Adolphs, R.: Emotion processing and the amygdala: from a\u2019low road\u2019to\u2019many roads\u2019 of evaluating biological significance. Nat. Rev. Neurosci. 11(11), 773\u2013782 (2010)","journal-title":"Nat. Rev. Neurosci."},{"issue":"11","key":"15_CR35","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1038\/nrneurol.2014.178","volume":"10","author":"M Pievani","year":"2014","unstructured":"Pievani, M., Filippini, N., Van Den Heuvel, M.P., Cappa, S.F., Frisoni, G.B.: Brain connectivity in neurodegenerative diseases-from phenotype to proteinopathy. Nat. Rev. Neurol. 10(11), 620\u2013633 (2014)","journal-title":"Nat. Rev. Neurol."},{"issue":"5","key":"15_CR36","doi-asserted-by":"publisher","first-page":"1081","DOI":"10.1109\/TNSRE.2020.2980223","volume":"28","author":"KA Robbins","year":"2020","unstructured":"Robbins, K.A., Touryan, J., Mullen, T., Kothe, C., Bigdely-Shamlo, N.: How sensitive are EEG results to preprocessing methods: a benchmarking study. IEEE Trans. Neural Syst. Rehabil. Eng. 28(5), 1081\u20131090 (2020). https:\/\/doi.org\/10.1109\/TNSRE.2020.2980223","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"15_CR37","doi-asserted-by":"publisher","unstructured":"Sciaraffa, N., et al.: Mental effort estimation by passive BCI: a cross-subject analysis. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 906\u2013909. IEEE (2021). https:\/\/doi.org\/10.1109\/EMBC46164.2021.9630613","DOI":"10.1109\/EMBC46164.2021.9630613"},{"key":"15_CR38","doi-asserted-by":"publisher","unstructured":"Suhaimi, N.S., Mountstephens, J., Teo, J., et\u00a0al.: EEG-based emotion recognition: a state-of-the-art review of current trends and opportunities. Comput. Intell. Neurosci. 2020 (2020). https:\/\/doi.org\/10.1155\/2020\/8875426","DOI":"10.1155\/2020\/8875426"},{"issue":"4","key":"15_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LSENS.2017.2726759","volume":"1","author":"A Vecchio","year":"2017","unstructured":"Vecchio, A., Mulas, F., Cola, G.: Posture recognition using the interdistances between wearable devices. IEEE Sens. Lett. 1(4), 1\u20134 (2017). https:\/\/doi.org\/10.1109\/LSENS.2017.2726759","journal-title":"IEEE Sens. Lett."},{"key":"15_CR40","doi-asserted-by":"publisher","unstructured":"Yang, Y., Wu, Q., Qiu, M., Wang, Y., Chen, X.: Emotion recognition from multi-channel EEG through parallel convolutional recurrent neural network. In: 2018 international joint conference on neural networks (IJCNN), pp.\u00a01\u20137. IEEE (2018). https:\/\/doi.org\/10.1109\/IJCNN.2018.8489331","DOI":"10.1109\/IJCNN.2018.8489331"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Body Area Networks. Smart IoT and Big Data for Intelligent Health Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72524-1_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T11:04:41Z","timestamp":1735211081000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72524-1_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031725234","9783031725241"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72524-1_15","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"27 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BodyNets","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EAI International Conference on Body Area Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Milan","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 February 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 February 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bodynets2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/bodynets.eai-conferences.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}