{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T03:21:26Z","timestamp":1740108086000,"version":"3.37.3"},"reference-count":25,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T00:00:00Z","timestamp":1648512000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T00:00:00Z","timestamp":1648512000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["2020.06675.BD","PCIF\/SSO\/0163\/2019 (SafeFire)"],"award-info":[{"award-number":["2020.06675.BD","PCIF\/SSO\/0163\/2019 (SafeFire)"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["UIDB\/50008\/2020"],"award-info":[{"award-number":["UIDB\/50008\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015494","name":"Instituto de Telecomunica\u00e7\u00f5es","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100015494","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s00521-022-07191-8","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T13:05:18Z","timestamp":1648559118000},"page":"5721-5736","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["EmotiphAI: a biocybernetic engine for real-time biosignals acquisition in a collective setting"],"prefix":"10.1007","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0514-7517","authenticated-orcid":false,"given":"Patr\u00edcia","family":"Bota","sequence":"first","affiliation":[]},{"given":"Emmanuel","family":"Flety","sequence":"additional","affiliation":[]},{"given":"Hugo Pl\u00e1cido da","family":"Silva","sequence":"additional","affiliation":[]},{"given":"Ana","family":"Fred","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,3,29]]},"reference":[{"issue":"2","key":"7191_CR1","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1177\/1754073913512003","volume":"6","author":"RW Levenson","year":"2014","unstructured":"Levenson RW (2014) The autonomic nervous system and emotion. Emotion Review 6(2):100\u2013112. https:\/\/doi.org\/10.1177\/1754073913512003","journal-title":"Emotion Review"},{"key":"7191_CR2","doi-asserted-by":"publisher","first-page":"140990","DOI":"10.1109\/ACCESS.2019.2944001","volume":"7","author":"PJ Bota","year":"2019","unstructured":"Bota PJ, Wang C, Fred ALN, Silva HPD (2019) A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals. IEEE Access 7:140990\u2013141020. https:\/\/doi.org\/10.1109\/ACCESS.2019.2944001","journal-title":"IEEE Access"},{"key":"7191_CR3","unstructured":"Pl\u00e1cido\u00a0da Silva H (2019) Biomedical sensors as invisible doctors. In: Regenerative design in digital practice: a handbook fothe built environment. Eurac Research, pp 322\u2013329"},{"key":"7191_CR4","doi-asserted-by":"publisher","unstructured":"Aus\u00edn JL, Duque-Carrillo JF, Ramos J, Torelli G (2013) In: Mukhopadhyay, S.C., Postolache, O.A. (eds.) From Handheld Devices to Near-invisible Sensors: The Road to Pervasive e-Health, pp. 135\u2013156. Springer, Berlin, Heidelberg. https:\/\/doi.org\/10.1007\/978-3-642-32538-0_6","DOI":"10.1007\/978-3-642-32538-0_6"},{"key":"7191_CR5","doi-asserted-by":"publisher","first-page":"1721","DOI":"10.3389\/fpsyg.2020.01721","volume":"11","author":"A Wlodarczyk","year":"2020","unstructured":"Wlodarczyk A, Zumeta L, Pizarro JJ, Bouchat P, Hatibovic F, Basabe N, Rim\u00e9 B (2020) Perceived emotional synchrony in collective gatherings: Validation of a short scale and proposition of an integrative measure. Frontiers in Psychology 11:1721. https:\/\/doi.org\/10.3389\/fpsyg.2020.01721","journal-title":"Frontiers in Psychology"},{"issue":"4","key":"7191_CR6","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1177\/1754073913484170","volume":"5","author":"C von Scheve","year":"2013","unstructured":"von Scheve C, Ismer S (2013) Towards a theory of collective emotions. Emotion Review 5(4):406\u2013413. https:\/\/doi.org\/10.1177\/1754073913484170","journal-title":"Emotion Review"},{"key":"7191_CR7","doi-asserted-by":"publisher","unstructured":"Guerreiro J, Louren\u00e7o A, Silva H, Fred A (2013) Performance comparison of low-cost hardware platforms targeting physiological computing applications. Procedia Technology 17, 399\u2013406 (2014). https:\/\/doi.org\/10.1016\/j.protcy.2014.10.204. Conference on Electronics, Telecommunications and Computers - CETC","DOI":"10.1016\/j.protcy.2014.10.204"},{"key":"7191_CR8","unstructured":"Wang C (May 2018) Monitoring the engagement of groups by using physiological sensors. PhD thesis, Vrije Universiteit Amsterdam"},{"issue":"2","key":"7191_CR9","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1049\/htl.2018.5037","volume":"6","author":"D Batista","year":"2019","unstructured":"Batista D, Silva H, Fred ALN, Moreira CF, Ferreira HF (2019) Benchmarking of the BITalino biomedical toolkit against an established gold standard. Healthcare Technology Letters 6(2):32\u201336. https:\/\/doi.org\/10.1049\/htl.2018.5037","journal-title":"Healthcare Technology Letters"},{"key":"7191_CR10","doi-asserted-by":"publisher","unstructured":"Milstein N, Gordon I (2020) Validating measures of electrodermal activity and heart rate variability derived from the empatica e4 utilized in research settings that involve interactive dyadic states. Frontiers in Behavioral Neuroscience 14. https:\/\/doi.org\/10.3389\/fnbeh.2020.00148","DOI":"10.3389\/fnbeh.2020.00148"},{"issue":"19","key":"7191_CR11","doi-asserted-by":"publisher","first-page":"4079","DOI":"10.3390\/s19194079","volume":"19","author":"P Schmidt","year":"2019","unstructured":"Schmidt P, Reiss A, D\u00fcrichen R, Laerhoven KV (2019) Wearable-based affect recognition-a review. Sensors (Basel, Switzerland) 19(19):4079","journal-title":"Sensors (Basel, Switzerland)"},{"key":"7191_CR12","unstructured":"Saganowski S, Kazienko P, Dziezyc M, Jakim\u00f3w P, Komoszynska J, Michalska W, Dutkowiak A, Polak AG, Dziadek A, Ujma M (2020) Review of consumer wearables in emotion, stress, meditation, sleep, and activity detection and analysis. CoRR abs\/2005.00093"},{"key":"7191_CR13","doi-asserted-by":"publisher","unstructured":"Abreu M, Fred A, Pl\u00e1cido\u00a0da Silva H, Wang C (2020) From seizure detection to prediction: A review of wearables and related devices applicable to epilepsy via peripheral measurements. https:\/\/doi.org\/10.13140\/RG.2.2.17428.45447","DOI":"10.13140\/RG.2.2.17428.45447"},{"key":"7191_CR14","doi-asserted-by":"publisher","unstructured":"Bota PJ, Wang C, Fred ALN, Silva H (2020) A wearable system for electrodermal activity data acquisition in collective experience assessment. In: Filipe, J., Smialek, M., Brodsky, A., Hammoudi, S. (eds.) Proc. of the Int\u2019l Conf. on Enterprise Information Systems, Prague, Czech Republic, May 5-7, 2020, Volume 2, pp. 606\u2013613. SCITEPRESS, ???. https:\/\/doi.org\/10.5220\/0009816906060613","DOI":"10.5220\/0009816906060613"},{"issue":"1","key":"7191_CR15","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/T-AFFC.2011.15","volume":"3","author":"S Koelstra","year":"2012","unstructured":"Koelstra S, Muhl C, Soleymani M, Lee J, Yazdani A, Ebrahimi T, Pun T, Nijholt A, Patras I (2012) Deap: A database for emotion analysis using physiological signals. IEEE Trans. on Affective Computing 3(1):18\u201331. https:\/\/doi.org\/10.1109\/T-AFFC.2011.15","journal-title":"IEEE Trans. on Affective Computing"},{"issue":"1","key":"7191_CR16","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/T-AFFC.2011.25","volume":"3","author":"M Soleymani","year":"2012","unstructured":"Soleymani M, Lichtenauer J, Pun T, Pantic M (2012) A multimodal database for affect recognition and implicit tagging. IEEE Trans. on Affective Computing 3(1):42\u201355. https:\/\/doi.org\/10.1109\/T-AFFC.2011.25","journal-title":"IEEE Trans. on Affective Computing"},{"issue":"4","key":"7191_CR17","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s10484-012-9201-6","volume":"37","author":"S Carvalho","year":"2012","unstructured":"Carvalho S, Leite J, Galdo-\u00c1lvarez S, Gon\u00e7alves \u00d3F (2012) The emotional movie database (EMDB): A self-report and psychophysiological study. Applied Psychophysiology and Biofeedback 37(4):279\u2013294","journal-title":"Applied Psychophysiology and Biofeedback"},{"issue":"2","key":"7191_CR18","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1109\/TAFFC.2018.2884461","volume":"12","author":"JA Miranda-Correa","year":"2017","unstructured":"Miranda-Correa JA, Abadi MK, Sebe N, Patras I (2017) AMIGOS: A dataset for affect, personality and mood research on individuals and groups. IEEE Trans Affect Comput 12(2):479\u2013493. https:\/\/doi.org\/10.1109\/TAFFC.2018.2884461","journal-title":"IEEE Trans Affect Comput"},{"key":"7191_CR19","doi-asserted-by":"publisher","unstructured":"Schmidt P, Reiss A, Duerichen R, Marberger C, Van\u00a0Laerhoven K (2018) Introducing WESAD, a multimodal dataset for wearable stress and affect detection. In: Proc. Int\u2019l Conf. on Multimodal Interaction, pp. 400\u2013408. Association for Computing Machinery, NY, USA. https:\/\/doi.org\/10.1145\/3242969.3242985","DOI":"10.1145\/3242969.3242985"},{"issue":"1","key":"7191_CR20","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1038\/s41597-020-00630-y","volume":"7","author":"CY Park","year":"2020","unstructured":"Park CY, Cha N, Kang S, Kim A, Khandoker AH, Hadjileontiadis L, Oh A, Jeong Y, Lee U (2020) K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations. Scientific Data 7(1):293","journal-title":"Scientific Data"},{"issue":"1","key":"7191_CR21","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1109\/TAFFC.2017.2772882","volume":"11","author":"K Sharma","year":"2020","unstructured":"Sharma K, Castellini C, Stulp F, van den Broek EL (2020) Continuous, real-time emotion annotation: A novel joystick-based analysis framework. IEEE Trans. on Affective Computing 11(1):78\u201384. https:\/\/doi.org\/10.1109\/TAFFC.2017.2772882","journal-title":"IEEE Trans. on Affective Computing"},{"key":"7191_CR22","doi-asserted-by":"publisher","unstructured":"Markova V, Ganchev T, Kalinkov K (2019) Clas: A database for cognitive load, affect and stress recognition. In: Proc. Int\u2019l Conf. on Biomedical Innovations and Applications, pp. 1\u20134. https:\/\/doi.org\/10.1109\/BIA48344.2019.8967457","DOI":"10.1109\/BIA48344.2019.8967457"},{"key":"7191_CR23","doi-asserted-by":"publisher","first-page":"1111","DOI":"10.3389\/fpsyg.2020.01111","volume":"11","author":"F Larradet","year":"2020","unstructured":"Larradet F, Niewiadomski R, Barresi G, Caldwell DG, Mattos LS (2020) Toward emotion recognition from physiological signals in the wild: Approaching the methodological issues in real-life data collection. Frontiers in Psychology 11:1111. https:\/\/doi.org\/10.3389\/fpsyg.2020.01111","journal-title":"Frontiers in Psychology"},{"key":"7191_CR24","doi-asserted-by":"publisher","unstructured":"Madgwick SOH, Harrison AJL, Vaidyanathan R (2011) Estimation of imu and marg orientation using a gradient descent algorithm. In: IEEE Int\u2019l Conf. on Rehabilitation Robotics, pp. 1\u20137. https:\/\/doi.org\/10.1109\/ICORR.2011.5975346","DOI":"10.1109\/ICORR.2011.5975346"},{"key":"7191_CR25","doi-asserted-by":"publisher","first-page":"30149","DOI":"10.1109\/ACCESS.2018.2843325","volume":"6","author":"S Sadowski","year":"2018","unstructured":"Sadowski S, Spachos P (2018) Rssi-based indoor localization with the internet of things. IEEE Access 6:30149\u201330161. https:\/\/doi.org\/10.1109\/ACCESS.2018.2843325","journal-title":"IEEE Access"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07191-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-022-07191-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-022-07191-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T19:05:13Z","timestamp":1677611113000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-022-07191-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,29]]},"references-count":25,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["7191"],"URL":"https:\/\/doi.org\/10.1007\/s00521-022-07191-8","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"type":"print","value":"0941-0643"},{"type":"electronic","value":"1433-3058"}],"subject":[],"published":{"date-parts":[[2022,3,29]]},"assertion":[{"value":"12 November 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 March 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}