{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T22:30:56Z","timestamp":1775255456537,"version":"3.50.1"},"reference-count":20,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2018,10,22]],"date-time":"2018-10-22T00:00:00Z","timestamp":1540166400000},"content-version":"vor","delay-in-days":294,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671081"],"award-info":[{"award-number":["61671081"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61720106007"],"award-info":[{"award-number":["61720106007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005089","name":"Beijing Municipal Natural Science Foundation","doi-asserted-by":"publisher","award":["4172042"],"award-info":[{"award-number":["4172042"]}],"id":[{"id":"10.13039\/501100005089","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2018,1]]},"abstract":"<jats:p>For smartphone service providers, it is of vital importance to recognize characteristics of customers. The process of recognizing these characteristics is generally referred to as user profile, which provides knowledge basis for business decisions, enables intelligent services, and brings unique competitiveness. As a basic component of user profile, bedtime could reflect lifestyle, health condition, and occupation of people. This paper presents a flexible algorithm named BTP (Bedtime Prediction), which is designed for predicting wake time and bedtime by analysing screen status of smartphone. BTP first collects screen status log data of user\u2019s smartphone and conducts preprocessing with a series of auxiliary user profiles. Then, it detects and records users\u2019 wake time and bedtime of one day by searching and combining major screen extinguish periods in the past 24 hours. Finally, BTP predicts future bedtime by matching current screen status sequence with all historical records. By applying BTP, most of night and morning scenario\u2010based applications could provide more considerate services, rather than following fixed execution time like alarm clock. Experiments on practical applications prove that BTP can effectively predict wake time and bedtime without applying complicated machine learning algorithms or uploading data to server.<\/jats:p>","DOI":"10.1155\/2018\/7619102","type":"journal-article","created":{"date-parts":[[2018,10,22]],"date-time":"2018-10-22T19:40:57Z","timestamp":1540237257000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["BTP: A Bedtime Predicting Algorithm via Smartphone Screen Status"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1877-5982","authenticated-orcid":false,"given":"Kun","family":"Niu","sequence":"first","affiliation":[]},{"given":"Shubo","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8771-2315","authenticated-orcid":false,"given":"Haizhen","family":"Jiao","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2018,10,22]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/31.5.619"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02599573"},{"key":"e_1_2_9_3_2","unstructured":"https:\/\/pzizz.com\/."},{"key":"e_1_2_9_4_2","unstructured":"https:\/\/www.sleepcycle.com\/."},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/2636242.2636244"},{"key":"e_1_2_9_6_2","doi-asserted-by":"crossref","unstructured":"AndersenA.andKarlsenR. User profiling through NFC interactions: Mining NFC-based user information from mobile devices and back-end systems Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access MobiWac 2016 November 2016 Malta 173\u2013176 2-s2.0-85006967249.","DOI":"10.1145\/2989250.2989274"},{"key":"e_1_2_9_7_2","doi-asserted-by":"crossref","unstructured":"FanY. ChenY. TungK. WuK. andChenA. L. A framework for enabling user preference profiling through Wi-Fi logs Proceedings of the 2016 IEEE 32nd International Conference on Data Engineering (ICDE) May 2016 Helsinki Finland 1550\u20131551 https:\/\/doi.org\/10.1109\/ICDE.2016.7498419.","DOI":"10.1109\/ICDE.2016.7498419"},{"key":"e_1_2_9_8_2","doi-asserted-by":"crossref","unstructured":"Baeza-YatesR. SilvestriF. JiangD. andHarrisonB. Predicting the next app that you are going to use Proceedings of the 8th ACM International Conference on Web Search and Data Mining WSDM 2015 February 2015 China 285\u2013294 2-s2.0-84928743449.","DOI":"10.1145\/2684822.2685302"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/28.4.499"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/0140-6736(92)91660-Z"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/24.8.957"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/3.1.83"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/5.4.389"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1093\/sleep\/15.5.461"},{"key":"e_1_2_9_15_2","doi-asserted-by":"crossref","unstructured":"OrellanaG. HeldC. M. EstevezP. A. PerezC. A. ReyesS. AlgarinC. andPeiranoP. A balanced sleep\/wakefulness classification method based on actigraphic data in adolescents Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC 2014 August 2014 USA 4188\u20134191 2-s2.0-84929494060.","DOI":"10.1109\/EMBC.2014.6944547"},{"key":"e_1_2_9_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2280538"},{"key":"e_1_2_9_17_2","doi-asserted-by":"crossref","unstructured":"YangG. ChenJ. TenhunenH. andZhengL. Intelligent electrode design for long-term ECG monitoring at home: Prototype design using FPAA and FPGA Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare August 2009 London UK https:\/\/doi.org\/10.4108\/ICST.PERVASIVEHEALTH2009.6005.","DOI":"10.4108\/ICST.PERVASIVEHEALTH2009.6005"},{"key":"e_1_2_9_18_2","doi-asserted-by":"crossref","unstructured":"MinJ.-K. DoryabA. WieseJ. AminiS. ZimmermanJ. andHongJ. I. Toss \u2032N\u2032 turn: Smartphone as sleep and sleep quality detector Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems CHI 2014 May 2014 Canada 477\u2013486 2-s2.0-84900448310.","DOI":"10.1145\/2556288.2557220"},{"key":"e_1_2_9_19_2","unstructured":"https:\/\/developers.google.cn\/awareness\/."},{"key":"e_1_2_9_20_2","volume-title":"Predictive Analytics and Data Mining","author":"Kotu V.","year":"2015"}],"container-title":["Wireless Communications and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2018\/7619102.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2018\/7619102.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2018\/7619102","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T21:09:58Z","timestamp":1775250598000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2018\/7619102"}},"subtitle":[],"editor":[{"given":"Kok-Seng","family":"Wong","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":20,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,1]]}},"alternative-id":["10.1155\/2018\/7619102"],"URL":"https:\/\/doi.org\/10.1155\/2018\/7619102","archive":["Portico"],"relation":{},"ISSN":["1530-8669","1530-8677"],"issn-type":[{"value":"1530-8669","type":"print"},{"value":"1530-8677","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1]]},"assertion":[{"value":"2018-04-19","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-08","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-10-22","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"7619102"}}