{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T22:28:06Z","timestamp":1750890486572,"version":"3.40.3"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319920153"},{"type":"electronic","value":"9783319920160"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-92016-0_24","type":"book-chapter","created":{"date-parts":[[2018,5,21]],"date-time":"2018-05-21T13:54:16Z","timestamp":1526910856000},"page":"263-274","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Advancing Quantified-Self Applications Utilizing Visual Data Analytics and the Internet of Things"],"prefix":"10.1007","author":[{"given":"Dimitris","family":"Chousiadas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Menychtas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Panayiotis","family":"Tsanakas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilias","family":"Maglogiannis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,22]]},"reference":[{"key":"24_CR1","unstructured":"AGILE-IOT, H2020 EU Research Project. http:\/\/agile-iot.eu"},{"issue":"2","key":"24_CR2","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1097\/NAQ.0000000000000029","volume":"38","author":"KM Aguilar","year":"2014","unstructured":"Aguilar, K.M., Campbell, R.S., Fiester, A., Simpson, R.L., Hertel, C.: Bringing care home: how telemonitoring can expand population health management beyond the hospital. Nurs. Adm. Q. 38(2), 166\u2013172 (2014)","journal-title":"Nurs. Adm. Q."},{"issue":"5","key":"24_CR3","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1145\/2503823","volume":"20","author":"F Bentley","year":"2013","unstructured":"Bentley, F., Tollmar, K., Stephenson, P., Levy, L., Jones, B., Robertson, S., Price, E., Catrambone, R., Wilson, J.: Health Mashups: presenting statistical patterns between wellbeing data and context in natural language to promote behavior change. ACM Trans. Comput.-Hum. Interact. (TOCHI) 20(5), 30 (2013)","journal-title":"ACM Trans. Comput.-Hum. Interact. (TOCHI)"},{"key":"24_CR4","unstructured":"Bluetooth GATT specifications. https:\/\/www.bluetooth.com\/specifications\/gatt"},{"issue":"8","key":"24_CR5","doi-asserted-by":"publisher","first-page":"431047","DOI":"10.1155\/2015\/431047","volume":"11","author":"F Chen","year":"2015","unstructured":"Chen, F., Deng, P., Wan, J., Zhang, D., Vasilakos, A.V., Rong, X.: Data mining for the internet of things: literature review and challenges. Int. J. Distrib. Sens. Netw. 11(8), 431047 (2015)","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Choe, E.K., Lee, N.B., Lee, B., Pratt, W., Kientz, J.A.: Understanding quantified-selfers\u2019 practices in collecting and exploring personal data. In: Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems, pp. 1143\u20131152. ACM (2014)","DOI":"10.1145\/2556288.2557372"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"De Silva, A.H.T.E., Sampath, W.H.P., Sameera, N.H.L., Amarasinghe, Y.W.R., Mitani, A.: Development of a wearable tele-monitoring system with IoT for bio-medical applications. In: 2016 IEEE 5th Global Conference on Consumer Electronics, pp. 1\u20132. IEEE, October 2016","DOI":"10.1109\/GCCE.2016.7800404"},{"issue":"4","key":"24_CR8","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1089\/big.2015.0049","volume":"3","author":"T Fawcett","year":"2015","unstructured":"Fawcett, T.: Mining the quantified self: personal knowledge discovery as a challenge for data science. Big Data 3(4), 249\u2013266 (2015)","journal-title":"Big Data"},{"key":"24_CR9","unstructured":"Fitbit. https:\/\/www.fitbit.com\/eu\/home"},{"key":"24_CR10","unstructured":"GoogleFit. https:\/\/www.google.com\/fit\/"},{"key":"24_CR11","unstructured":"Ledger, D., McCaffrey, D.: Endeavour Partners Report: Inside Wearables: How the Science of Human Behavior Change Offers the Secret to Long-term Engagement (2016)"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Kor, A.L., Yanovsky, M., Pattinson, C., Kharchenko, V.: SMART-ITEM: ioT-enabled smart living. In: Future Technologies Conference (FTC), pp. 739\u2013749. IEEE (2016)","DOI":"10.1109\/FTC.2016.7821687"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Leibenger, D., M\u00f6llers, F., Petrlic, A., Petrlic, R., Sorge, C.: Privacy challenges in the quantified self movement\u2013an EU perspective. In: Proceedings on Privacy Enhancing Technologies, pp. 315\u2013334 (2016)","DOI":"10.1515\/popets-2016-0042"},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Li, J., Jin, J., Yuan, D., Palaniswami, M., Moessner, K.: EHOPES: data-centered Fog platform for smart living. In: 2015 International Telecommunication Networks and Applications Conference (ITNAC), pp. 308\u2013313. IEEE (2015)","DOI":"10.1109\/ATNAC.2015.7366831"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Mackensen, E., Lai, M., Wendt, T.M.: Bluetooth low energy (BLE) based wireless sensors. In: Sensors, 2012 IEEE, pp. 1\u20134. IEEE (2012)","DOI":"10.1109\/ICSENS.2012.6411303"},{"key":"24_CR16","unstructured":"Matplotlib: Plotting library for the Python. https:\/\/matplotlib.org\/"},{"key":"24_CR17","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/978-1-4302-6014-1_10","volume-title":"Sensor Technologies","author":"Michael J. McGrath","year":"2013","unstructured":"McGrath, M.J., Scanaill, C.N.: Wellness, fitness, and lifestyle sensing applications. In: Sensor Technologies, pp. 217\u2013248. Apress, Berkeley (2013)"},{"key":"24_CR18","doi-asserted-by":"crossref","unstructured":"Menychtas, A., Doukas, C., Tsanakas, P., Maglogiannis, I.: A versatile architecture for building IoT quantified-self applications. In: IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS), pp. 500\u2013505. IEEE (2017)","DOI":"10.1109\/CBMS.2017.80"},{"issue":"1","key":"24_CR19","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1049\/htl.2015.0054","volume":"3","author":"A Menychtas","year":"2016","unstructured":"Menychtas, A., Tsanakas, P., Maglogiannis, I.: Automated integration of wireless biosignal collection devices for patient-centred decision-making in point-of-care systems. Healthc. Technol. Lett. 3(1), 34 (2016)","journal-title":"Healthc. Technol. Lett."},{"key":"24_CR20","doi-asserted-by":"crossref","unstructured":"Munson, S.A., Consolvo, S.: Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. In: 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 25\u201332. IEEE (2012)","DOI":"10.4108\/icst.pervasivehealth.2012.248691"},{"key":"24_CR21","unstructured":"Numpy: Package for scientific computing with Python. http:\/\/www.numpy.org\/"},{"key":"24_CR22","unstructured":"Open mHealth. http:\/\/www.openmhealth.org\/"},{"key":"24_CR23","series-title":"Advances in Experimental Medicine and Biology","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-319-57348-9_15","volume-title":"GeNeDis 2016","author":"C Panagopoulos","year":"2017","unstructured":"Panagopoulos, C., et al.: Utilizing a homecare platform for remote monitoring of patients with idiopathic pulmonary fibrosis. In: Vlamos, P. (ed.) GeNeDis 2016. AEMB, vol. 989, pp. 177\u2013187. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-57348-9_15"},{"key":"24_CR24","unstructured":"Pcmag.com: The best fitness trackers of 2017. http:\/\/www.pcmag.com\/article2\/0,2817,2404445,00.asp"},{"key":"24_CR25","unstructured":"Scikit-learn: Machine learning in Python. http:\/\/scikit-learn.org\/stable\/"},{"issue":"2","key":"24_CR26","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1089\/big.2012.0002","volume":"1","author":"M Swan","year":"2013","unstructured":"Swan, M.: The quantified self: fundamental disruption in big data science and biological discovery. Big Data 1(2), 85\u201399 (2013)","journal-title":"Big Data"},{"issue":"6","key":"24_CR27","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1016\/j.bushor.2015.06.005","volume":"58","author":"BD Weinberg","year":"2015","unstructured":"Weinberg, B.D., Milne, G.R., Andonova, Y.G., Hajjat, F.M.: Internet of things: convenience vs. privacy and secrecy. Bus. Horiz. 58(6), 615\u2013624 (2015)","journal-title":"Bus. Horiz."}],"container-title":["IFIP Advances in Information and Communication Technology","Artificial Intelligence Applications and Innovations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-92016-0_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,21]],"date-time":"2022-05-21T00:06:04Z","timestamp":1653091564000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-92016-0_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319920153","9783319920160"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-92016-0_24","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"type":"print","value":"1868-4238"},{"type":"electronic","value":"1868-422X"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"22 May 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"IFIP International Conference on Artificial Intelligence Applications and Innovations","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rhodes","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","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":"25 May 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 May 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aiai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/easyconferences.eu\/aiai2018\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}