{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T07:57:53Z","timestamp":1762761473559,"version":"3.40.3"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319936437"},{"type":"electronic","value":"9783319936444"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-319-93644-4_8","type":"book-chapter","created":{"date-parts":[[2018,6,12]],"date-time":"2018-06-12T23:30:57Z","timestamp":1528846257000},"page":"147-167","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Laying the Foundation for Correlating Daytime Behaviour with Sleep Architecture Using Wearable Sensors"],"prefix":"10.1007","author":[{"given":"Ulrich","family":"Reimer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandro","family":"Emmenegger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edith","family":"Maier","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom","family":"Ulmer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hans-Joachim","family":"Vollbrecht","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongxing","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramin","family":"Khatami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,6,14]]},"reference":[{"key":"8_CR1","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1056\/NEJM199008233230805","volume":"323","author":"PN Prinz","year":"1990","unstructured":"Prinz, P.N., Vitiello, M.V., Raskind, M.A., Thorpy, M.J.: Sleep disorders and aging. N. Engl. J. Med. 323, 520\u2013526 (1990)","journal-title":"N. Engl. J. Med."},{"key":"8_CR2","doi-asserted-by":"publisher","first-page":"817","DOI":"10.1016\/j.pop.2008.07.006","volume":"35","author":"GM Tibbitts","year":"2008","unstructured":"Tibbitts, G.M.: Sleep disorders: causes, effects, and solutions. Prim. Care: Clin. Off. Pract. 35, 817\u2013837 (2008)","journal-title":"Prim. Care: Clin. Off. Pract."},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"085","DOI":"10.1055\/s-2002-32322","volume":"6","author":"JL Hossain","year":"2002","unstructured":"Hossain, J.L., Shapiro, C.M.: The prevalence, cost implications, and management of sleep disorders: an overview. Sleep Breath. 6, 085\u2013102 (2002)","journal-title":"Sleep Breath."},{"key":"8_CR4","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.mcna.2008.09.001","volume":"93","author":"LA Panossian","year":"2009","unstructured":"Panossian, L.A., Avidan, A.Y.: Review of sleep disorders. Med. Clin. North Am. 93, 407\u2013425 (2009)","journal-title":"Med. Clin. North Am."},{"key":"8_CR5","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1024\/0040-5930\/a000604","volume":"71","author":"G Tinguely","year":"2014","unstructured":"Tinguely, G., Landolt, H.P., Cajochen, C.: Schlafgewohnheiten, Schlafqualit\u00e4t und Schlafmittelkonsum der Schweizer Bev\u00f6lkerung: Ergebnisse aus einer neuen Umfrage bei einer repr\u00e4sentativen Stichprobe. Ther. Umsch. 71, 637\u2013646 (2014)","journal-title":"Ther. Umsch."},{"key":"8_CR6","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.jad.2011.01.011","volume":"135","author":"C Baglioni","year":"2011","unstructured":"Baglioni, C., Battagliese, G., Feige, B., Spiegelhalder, K., Nissen, C., Voderholzer, U., Lombardo, C., Riemann, D.: Insomnia as a predictor of depression: a meta-analytic evaluation of longitudinal epidemiological studies. J. Affect. Disord. 135, 10\u201319 (2011)","journal-title":"J. Affect. Disord."},{"key":"8_CR7","doi-asserted-by":"publisher","first-page":"R29","DOI":"10.1088\/0967-3334\/34\/7\/R29","volume":"34","author":"J Behar","year":"2013","unstructured":"Behar, J., Roebuck, A., Domingos, J.S., Gederi, E., Clifford, G.D.: A review of current sleep screening applications for smartphones. Physiol. Meas. 34, R29 (2013)","journal-title":"Physiol. Meas."},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Reimer, U., Emmenegger, S., Maier, E., Zhang, Z., Khatami, R.: Recognizing sleep stages with wearable sensors in everyday settings. In: Proceedings 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE) (2017)","DOI":"10.5220\/0006346001720179"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Reimer, U., Maier, E., Laurenzi, E., Ulmer, T.: Mobile stress recognition and relaxation support with SmartCoping: user adaptive interpretation of physiological stress parameters. In: Proceedings of the Hawaii International Conference on System Sciences (HICSS-50) (2017)","DOI":"10.24251\/HICSS.2017.435"},{"key":"8_CR10","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1145\/1964897.1964918","volume":"12","author":"JR Kwapisz","year":"2011","unstructured":"Kwapisz, J.R., Weiss, G.M., Moore, S.A.: Activity recognition using cell phone accelerometers. SIGKDD Explor. Newslett. 12, 74\u201382 (2011)","journal-title":"SIGKDD Explor. Newslett."},{"key":"8_CR11","unstructured":"Alsheikh, M.A., Selim, A., Niyato, D., Doyle, L., Lin, S., Tan, H.P.: Deep activity recognition models with triaxial accelerometers. arXiv:1511.04664 (2015)"},{"key":"8_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/978-3-540-75160-1_4","volume-title":"Location- and Context-Awareness","author":"T Hu\u1ef3nh","year":"2007","unstructured":"Hu\u1ef3nh, T., Blanke, U., Schiele, B.: Scalable recognition of daily activities with wearable sensors. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 50\u201367. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-75160-1_4"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Hu\u1ef3nh, T., Fritz, M., Schiele, B.: Discovery of activity patterns using topic models. In: Proceedings of the 10th International Conference on Ubiquitous Computing, pp. 10\u201319. ACM (2008)","DOI":"10.1145\/1409635.1409638"},{"key":"8_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1007\/978-3-642-01721-6_12","volume-title":"Location and Context Awareness","author":"U Blanke","year":"2009","unstructured":"Blanke, U., Schiele, B.: Daily routine recognition through activity spotting. In: Choudhury, T., Quigley, A., Strang, T., Suginuma, K. (eds.) LoCA 2009. LNCS, vol. 5561, pp. 192\u2013206. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-01721-6_12"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Yan, Z., Chakraborty, D., Misra, A., Jeung, H., Aberer, K.: Sammple: Detecting semantic indoor activities in practical settings using locomotive signatures. In: Proceedings 16th International Symposium on Wearable Computers, 37\u201340. IEEE (2012)","DOI":"10.1109\/ISWC.2012.22"},{"key":"8_CR16","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.protcy.2013.04.031","volume":"7","author":"E Garcia-Ceja","year":"2013","unstructured":"Garcia-Ceja, E., Brena, R.: Long-term activity recognition from accelerometer data. Procedia Technol. 7, 248\u2013256 (2013)","journal-title":"Procedia Technol."},{"key":"8_CR17","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.future.2014.02.014","volume":"39","author":"G Okeyo","year":"2014","unstructured":"Okeyo, G., Chen, L., Wang, H.: Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes. Future Gener. Comput. Syst. 39, 29\u201343 (2014)","journal-title":"Future Gener. Comput. Syst."},{"key":"8_CR18","unstructured":"Sohm, M.: Erkennung von komplexen Aktivit\u00e4ten anhand von tragbaren Sensoren. Master thesis, University of Applied Sciences, Vorarlberg (2016)"},{"key":"8_CR19","doi-asserted-by":"crossref","unstructured":"Intille, S.S., Bao, L., Tapia, E.M., Rondoni, J.: Acquiring in situ training data for context-aware ubiquitous computing applications. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1\u20138. ACM (2004)","DOI":"10.1145\/985692.985693"},{"key":"8_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2012\/107046","volume":"2012","author":"M L\u00e4ngkvist","year":"2012","unstructured":"L\u00e4ngkvist, M., Karlsson, L., Loutfi, A.: Sleep stage classification using unsupervised feature learning. Adv. Artif. Neural Syst. 2012, 1\u20139 (2012)","journal-title":"Adv. Artif. Neural Syst."},{"key":"8_CR21","doi-asserted-by":"publisher","first-page":"1350012","DOI":"10.1142\/S0129065713500123","volume":"23","author":"LJ Herrera","year":"2013","unstructured":"Herrera, L.J., Fernandes, C.M., Mora, A.M., Migotina, D., Largo, R., Guill\u00e9n, A., Rosa, A.C.: Combination of heterogeneous EEG feature extraction methods and stacked sequential learning for sleep stage classification. Int. J. Neural Syst. 23, 1350012 (2013)","journal-title":"Int. J. Neural Syst."},{"key":"8_CR22","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.jneumeth.2015.07.006","volume":"254","author":"J Shi","year":"2015","unstructured":"Shi, J., Liu, X., Li, Y., Zhang, Q., Li, Y., Ying, S.: Multi-channel EEG-based sleep stage classification with joint collaborative representation and multiple kernel learning. J. Neurosci. Methods 254, 94\u2013101 (2015)","journal-title":"J. Neurosci. Methods"},{"key":"8_CR23","doi-asserted-by":"crossref","unstructured":"Gu, W., Yang, Z., Shangguan, L., Sun, W., Jin, K., Liu, Y.: Intelligent sleep stage mining service with smartphones. In: Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 649\u2013660 (2014)","DOI":"10.1145\/2632048.2632084"},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Rahman, T., Adams, A.T., Ravichandran, R.V., Zhang, M., Patel, S.N., Kientz, J.A., Choudhury, T.: Dopplesleep: a contactless unobtrusive sleep sensing system using short-range doppler radar. In: Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 39\u201350 (2015)","DOI":"10.1145\/2750858.2804280"},{"key":"8_CR25","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.1109\/TSMCA.2012.2192264","volume":"42","author":"Y Kurihara","year":"2012","unstructured":"Kurihara, Y., Watanabe, K.: Sleep-stage decision algorithm by using heartbeat and body-movement signals. IEEE Trans. Syst. Man Cybern. - Part A: Syst. Humans 42, 1450\u20131459 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. - Part A: Syst. Humans"},{"key":"8_CR26","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1007\/s11325-014-0967-z","volume":"19","author":"E O\u2019Hare","year":"2015","unstructured":"O\u2019Hare, E., Flanagan, D., Penzel, T., Garcia, C., Frohberg, D., Heneghan, C.: A comparison of radio-frequency biomotion sensors and actigraphy versus polysomnography for the assessment of sleep in normal subjects. Sleep Breath. 19, 91\u201398 (2015)","journal-title":"Sleep Breath."},{"key":"8_CR27","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1586\/17434440.2016.1171708","volume":"13","author":"BP Kolla","year":"2016","unstructured":"Kolla, B.P., Mansukhani, S., Mansukhani, M.P.: Consumer sleep tracking devices: a review of mechanisms, validity and utility. Expert Rev. Med. Devices 13, 497\u2013506 (2016)","journal-title":"Expert Rev. Med. Devices"},{"key":"8_CR28","doi-asserted-by":"crossref","unstructured":"Radha, M., Garcia-Molina, G., Poel, M., Tononi, G.: Comparison of feature and classifier algorithms for online automatic sleep staging based on a single EEG signal. In: Proceedings of 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 1876\u20131880 (2014)","DOI":"10.1109\/EMBC.2014.6943976"},{"key":"8_CR29","volume-title":"Pattern-Oriented Software Architecture: A System of Patterns","author":"F Buschmann","year":"2013","unstructured":"Buschmann, F., Meunier, R., Rohnert, H., Sommerlad, P., Stal, M.: Pattern-Oriented Software Architecture: A System of Patterns. Wiley, Hoboken (2013)"},{"key":"8_CR30","unstructured":"Panagiotou, C., Samaras, I., Gialelis, J., Chondros, P., Karadimas, D.: A comparative study between SVM and fuzzy inference system for the automatic prediction of sleep stages and the assessment of sleep quality. In: Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, pp. 293\u2013296 (2015)"},{"key":"8_CR31","unstructured":"Bengio, Y., Courville, A.C., Vincent, P.: Unsupervised feature learning and deep learning: a review and new perspectives. CoRR abs\/1206.5538 (2012)"},{"key":"8_CR32","unstructured":"Keyvanrad, M.A., Homayounpour, M.M.: A brief survey on deep belief networks and introducing a new object oriented toolbox (DeeBNet). Technical report, Laboratory for Intelligent Multimedia Processing, Computer Engineering and Information Technology Department, Amirkabir University of Technology, Tehran, Iran (2014)"},{"key":"8_CR33","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1162\/089976602760128018","volume":"14","author":"GE Hinton","year":"2002","unstructured":"Hinton, G.E.: Training products of experts by minimizing contrastive divergence. Neural Comput. 14, 1771\u20131800 (2002)","journal-title":"Neural Comput."},{"key":"8_CR34","unstructured":"Carreira-Perpinan, M.A., Hinton, G.E.: On contrastive divergence learning. In: Artificial Intelligence and Statistics 2005 (2005)"},{"key":"8_CR35","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1007\/978-3-642-35289-8_32","volume-title":"Neural Networks: Tricks of the Trade","author":"GE Hinton","year":"2012","unstructured":"Hinton, G.E.: A practical guide to training Restricted Boltzmann Machines. In: Montavon, G., Orr, G.B., M\u00fcller, K.-R. (eds.) Neural Networks: Tricks of the Trade. LNCS, vol. 7700, pp. 599\u2013619. Springer, Heidelberg (2012). https:\/\/doi.org\/10.1007\/978-3-642-35289-8_32"},{"key":"8_CR36","doi-asserted-by":"crossref","unstructured":"Borazio, M., Berlin, E., K\u00fcc\u00fckyildiz, N., Scholl, P., Laerhoven, K.V.: Towards benchmarked sleep detection with wrist-worn sensing units. In: 2014 IEEE International Conference on Healthcare Informatics, pp. 125\u2013134 (2014)","DOI":"10.1109\/ICHI.2014.24"},{"key":"8_CR37","unstructured":"Biswal, S., Kulas, J., Sun, H., Goparaju, B., Westover, M.B., Bianchi, M.T., Sun, J.: Sleepnet: Automated sleep staging system via deep learning. arXiv:1707.08262 (2017)"},{"key":"8_CR38","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436\u2013444 (2015)","journal-title":"Nature"},{"key":"8_CR39","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1093\/sleep\/27.7.1255","volume":"27","author":"MM Ohayon","year":"2004","unstructured":"Ohayon, M.M., Carskadon, M.A., Guilleminault, C., Vitiello, M.V.: Meta-analysis of quantitative sleep parameters from childhood to old age in healthy individuals: developing normative sleep values across the human lifespan. Sleep 27, 1255\u20131273 (2004)","journal-title":"Sleep"},{"key":"8_CR40","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1111\/j.1365-2869.2008.00700.x","volume":"18","author":"H Danker-Hopfe","year":"2009","unstructured":"Danker-Hopfe, H., Anderer, P., Zeitlhofer, J., Boeck, M., Dorn, H., Gruber, G., Heller, E., Loretz, E., Moser, D., Parapatics, S., et al.: Interrater reliability for sleep scoring according to the Rechtschaffen & Kales and the new AASM standard. J. Sleep Res. 18, 74\u201384 (2009)","journal-title":"J. Sleep Res."},{"key":"8_CR41","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/978-3-319-62704-5_8","volume-title":"Information and Communication Technologies for Ageing Well and e-Health","author":"U Reimer","year":"2017","unstructured":"Reimer, U., Maier, E., Ulmer, T.: A Self-learning Application Framework for Behavioral Change Support. In: R\u00f6cker, C., O\u2019Donoghue, J., Ziefle, M., Helfert, M., Molloy, W. (eds.) ICT4AWE 2016. CCIS, vol. 736, pp. 119\u2013139. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-62704-5_8"}],"container-title":["Communications in Computer and Information Science","Information and Communication Technologies for Ageing Well and e-Health"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-93644-4_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,19]],"date-time":"2019-10-19T07:00:36Z","timestamp":1571468436000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-93644-4_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319936437","9783319936444"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-93644-4_8","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"ICT4AWE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information and Communication Technologies for Ageing Well and e-Health","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Porto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 April 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 April 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ict4awe2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}