{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,4]],"date-time":"2025-09-04T13:12:34Z","timestamp":1756991554593,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030059200"},{"type":"electronic","value":"9783030059217"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-05921-7_30","type":"book-chapter","created":{"date-parts":[[2019,2,2]],"date-time":"2019-02-02T15:54:50Z","timestamp":1549122890000},"page":"361-376","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Physiological Wireless Sensor Network for the Detection of Human Moods to Enhance Human-Robot Interaction"],"prefix":"10.1007","author":[{"given":"Francesco","family":"Semeraro","sequence":"first","affiliation":[]},{"given":"Laura","family":"Fiorini","sequence":"additional","affiliation":[]},{"given":"Stefano","family":"Betti","sequence":"additional","affiliation":[]},{"given":"Gianmaria","family":"Mancioppi","sequence":"additional","affiliation":[]},{"given":"Luca","family":"Santarelli","sequence":"additional","affiliation":[]},{"given":"Filippo","family":"Cavallo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,2,3]]},"reference":[{"issue":"2","key":"30_CR1","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s42235-018-0015-y","volume":"15","author":"Filippo Cavallo","year":"2018","unstructured":"Cavallo F, Semeraro F, Fiorini L, Magyar G, Sin\u010d\u00e1k P, Dario P (2018) Emotion modelling for social robotics applications: a review. J Bionic Eng 15","journal-title":"Journal of Bionic Engineering"},{"key":"30_CR2","first-page":"184","volume":"11","author":"AM Isen","year":"2000","unstructured":"Isen AM (2000) Some perspectives on positive affect and self-regulation 11:184\u2013187","journal-title":"Some perspectives on positive affect and self-regulation"},{"key":"30_CR3","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 23:1175\u20131191","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"doi-asserted-by":"crossref","unstructured":"Bruno B, Mastrogiovanni F, Sgorbissa A (2013) Functional requirements and design issues for a socially assistive robot for elderly people with mild cognitive impairments. In: 22nd IEEE international symposium on robot and human interactive communication, pp 768\u2013773","key":"30_CR4","DOI":"10.1109\/ROMAN.2013.6628406"},{"doi-asserted-by":"crossref","unstructured":"Koelstra S, Patras I (2013) Fusion of facial expressions and EEG for implicit affective tagging. Image Vis Comput","key":"30_CR5","DOI":"10.1016\/j.imavis.2012.10.002"},{"unstructured":"Betti S et al (2017) Evaluation of an integrated system of wearable physiological sensors for stress monitoring in working environments by using biological markers. IEEE Trans Biomed Eng","key":"30_CR6"},{"unstructured":"Schumm J, B\u00e4chlin M, Setz C, Arnrich B, Roggen D, Tr\u00f6ster G (2008) Effect of movements on the electrodermal response after a startle event. In: Proceedings of 2nd international conference on pervasive computing technologies for healthcare, PervasiveHealth, 2008, pp 315\u2013318","key":"30_CR7"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1007\/s11036-016-0745-1","volume":"21","author":"M Chen","year":"2016","unstructured":"Chen M, Ma Y, Song J, Lai C-F, Hu B (2016) Smart clothing: connecting human with clouds and big data for sustainable health monitoring. Mob Netw Appl 21:825\u2013845","journal-title":"Mob Netw Appl"},{"doi-asserted-by":"crossref","unstructured":"Nardelli M, Valenza G, Greco A, Lanata A, Scilingo EP (2014) Arousal recognition system based on heartbeat dynamics during auditory elicitation","key":"30_CR9","DOI":"10.1109\/EMBC.2015.7319786"},{"doi-asserted-by":"crossref","unstructured":"Henriques R, Paiva A, Antunes C (2013) Accessing emotion patterns from affective interactions using electrodermal activity. In: 2013 humaine association conference on affective computing and intelligent interaction, pp 43\u201348. IEEE","key":"30_CR10","DOI":"10.1109\/ACII.2013.14"},{"doi-asserted-by":"crossref","unstructured":"Khezri M, Firoozabadi M, Sharafat AR (2015) Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals. Comput Methods Programs Biomed","key":"30_CR11","DOI":"10.1016\/j.cmpb.2015.07.006"},{"doi-asserted-by":"crossref","unstructured":"Roberts NA, Tsai JL, Coan JA (2007) Emotion elicitation using dyadic interaction tasks. Handbook of emotion elicitation and assessment, pp 106\u2013123","key":"30_CR12","DOI":"10.1093\/oso\/9780195169157.003.0008"},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/T-AFFC.2011.15","volume":"3","author":"S Koelstra","year":"2012","unstructured":"Koelstra S, Uhl C, Soleymani M, Lee J-S, Yazdani A, Ebrahimi T, Pun T, Nijholt A, Patras I (2012) DEAP: a database for emotion analysis using physiological signals. IEEE Trans Affect Comput 3:18\u201331","journal-title":"IEEE Trans Affect Comput"},{"key":"30_CR14","first-page":"497","volume":"34","author":"J-H Kim","year":"2013","unstructured":"Kim J-H, Roberge R, Powell JB, Shafer AB, Williams WJ (2013) Measurement accuracy of heart rate and respiratory rate during graded exercise and sustained exercise in the heat using the Zephyr BioHarness TM. Int J Sports Med 34:497\u2013501","journal-title":"Int J Sports Med"},{"key":"30_CR15","doi-asserted-by":"publisher","first-page":"1527","DOI":"10.1109\/JSEN.2010.2045498","volume":"10","author":"A Burns","year":"2010","unstructured":"Burns A, Greene BR, McGrath MJ, O\u2019Shea TJ, Kuris B, Ayer SM, Stroiescu F, Cionca V (2010) SHIMMERTM\u2014a wireless sensor platform for noninvasive biomedical research. IEEE Sens J 10:1527\u20131534","journal-title":"IEEE Sens J"},{"unstructured":"Salabun W (2014) Processing and spectral analysis of the raw EEG signal from the MindWave. Prz Elektrotechniczny 169\u2013173","key":"30_CR16"},{"doi-asserted-by":"crossref","unstructured":"Harmon-Jones E, Amodio DM, Zinner LR (2007) Social psychological methods of emotion elicitation. Handbook of emotion elicitation and assessment, pp 91\u2013105","key":"30_CR17","DOI":"10.1093\/oso\/9780195169157.003.0007"},{"key":"30_CR18","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/0005-7916(94)90063-9","volume":"25","author":"M Bradley","year":"1994","unstructured":"Bradley M, Lang PJ (1994) Measuring emotion: the self-assessment manikin and the semantic differential. J Behav Ther Exp Psychiatry 25:49\u201359","journal-title":"J Behav Ther Exp Psychiatry"},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.biopsycho.2010.03.010","volume":"3","author":"S Kreibig","year":"2010","unstructured":"Kreibig S (2010) Autonomic nervous system activity in emotion: a review. Biol Psychol 3:394\u2013421","journal-title":"Biol Psychol"},{"key":"30_CR20","doi-asserted-by":"publisher","first-page":"H411","DOI":"10.1152\/ajpcell.1994.267.2.C411","volume":"267","author":"N Lippman","year":"1994","unstructured":"Lippman N, Stein KM, Lerman BB (1994) Comparison of methods for removal of ectopy in measurement of heart rate variability. Am J Physiol 267:H411\u2013H418","journal-title":"Am J Physiol"},{"key":"30_CR21","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1007\/s11517-006-0119-0","volume":"44","author":"UR Acharya","year":"2006","unstructured":"Acharya UR, Joseph KP, Kannathal N, Lim CM, Suri JS (2006) Heart rate variability: a review. Med Biol Eng Comput 44:1031\u20131051","journal-title":"Med Biol Eng Comput"},{"key":"30_CR22","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.bspc.2014.01.011","volume":"10","author":"B Mali","year":"2014","unstructured":"Mali B, Zulj S, Magjarevic R, Miklavcic D, Jarm T (2014) Matlab-based tool for ECG and HRV analysis. Biomed Signal Process Control 10:108\u2013116","journal-title":"Biomed Signal Process Control"},{"key":"30_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1126-0","volume-title":"Electrodermal activity","author":"W Boucsein","year":"2012","unstructured":"Boucsein W (2012) Electrodermal activity. Springer Science\u2009+\u2009Business Media, LLC"},{"key":"30_CR24","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/978-3-658-12231-7_3","volume-title":"Successful Emotions","author":"Katharina Lochner","year":"2016","unstructured":"Lochner K, Eid M (2016) Successful emotions: how emotions drive cognitive performance. Successful emotions: how emotions drive cognitive performance, pp 43\u201367"},{"key":"30_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2012\/931943","volume":"2012","author":"H-M Wang","year":"2012","unstructured":"Wang H-M, Huang S-C (2012) SDNN\/RMSSD as a surrogate for LF\/HF: a revised investigation. Model Simul Eng 2012:1\u20138","journal-title":"Model Simul Eng"},{"key":"30_CR26","first-page":"200","volume":"12","author":"F-C Kao","year":"2015","unstructured":"Kao F-C, Wang SR, Chang Y-J (2015) Brainwaves Analysis of Positive and Negative Emotions. WSEAS Trans. Inf. Sci. Appl. 12:200\u2013208","journal-title":"WSEAS Trans. Inf. Sci. Appl."},{"key":"30_CR27","first-page":"702","volume":"2","author":"GI Webb","year":"1999","unstructured":"Webb GI (1999) Decision tree grafting from the all-tests-but-one partition. IJCAI Int J Conf Artif Intell 2:702\u2013707","journal-title":"IJCAI Int J Conf Artif Intell"},{"key":"30_CR28","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/B978-1-55860-377-6.50023-2","volume-title":"Machine Learning Proceedings 1995","author":"William W. Cohen","year":"1995","unstructured":"Cohen WW (1995) Fast effective rule induction. In: Machine learning: proceedings of twelth international conference"},{"key":"30_CR29","first-page":"37","volume":"6","author":"DW Aha","year":"1991","unstructured":"Aha DW, Kibler D, Albert MK (1991) Instance-based learning algorithms. Mach Learn 6:37\u201366","journal-title":"Mach Learn"},{"unstructured":"John GH, Langley P (1995) Estimating continuous distributions in Bayesian classifiers. In: Eleventh conference on uncertainty in artificial intelligence, pp 338\u2013345","key":"30_CR30"},{"key":"30_CR31","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1162\/089976601300014493","volume":"13","author":"SS Keerthi","year":"2001","unstructured":"Keerthi SS, Shevade SK, Bhattacharyya C, Murthy KRK (2001) Improvements to Platt\u2019s SMO algorithm for SVM classifier design. Neural Comput 13:637\u2013649","journal-title":"Neural Comput"},{"key":"30_CR32","doi-asserted-by":"publisher","first-page":"705","DOI":"10.2307\/1419730","volume":"76","author":"BW White","year":"1963","unstructured":"White BW, Rosenblatt F (1963) Principles of neurodynamics: perceptrons and the theory of brain mechanisms. Am J Psychol 76:705","journal-title":"Am J Psychol"},{"key":"30_CR33","doi-asserted-by":"publisher","first-page":"282","DOI":"10.3390\/electronics3020282","volume":"3","author":"T Tamura","year":"2014","unstructured":"Tamura T, Maeda Y, Sekine M, Yoshida M (2014) Wearable photoplethysmographic sensors\u2014past and present. Electronics 3:282\u2013302","journal-title":"Electronics"},{"unstructured":"Lee J, Matsumura K, Yamakoshi KI, Rolfe P, Tanaka S, Yamakoshi T (2013) Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion. In: Annual international conference of the IEEE engineering in medicine and biology society EMBS, pp 1724\u20131727","key":"30_CR34"},{"doi-asserted-by":"crossref","unstructured":"Esposito D, Cavallo F (2015) Preliminary design issues for inertial rings in ambient assisted living applications. In: 2015 IEEE international instrumentation and measurement technology conference (I2MTC) proceedings, pp 250\u2013255. IEEE","key":"30_CR35","DOI":"10.1109\/I2MTC.2015.7151274"}],"container-title":["Lecture Notes in Electrical Engineering","Ambient Assisted Living"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-05921-7_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,14]],"date-time":"2024-07-14T14:20:44Z","timestamp":1720966844000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-05921-7_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030059200","9783030059217"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-05921-7_30","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"3 February 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ForItAAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italian Forum of Ambient Assisted Living","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lecce","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 July 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"foritaal2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.foritaal2018.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}