{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T21:56:29Z","timestamp":1761947789868,"version":"build-2065373602"},"reference-count":36,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2012,4,26]],"date-time":"2012-04-26T00:00:00Z","timestamp":1335398400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Activity monitoring of a person for a long-term would be helpful for controlling lifestyle associated diseases. Such diseases are often linked with the way a person lives. An unhealthy and irregular standard of living influences the risk of such diseases in the later part of one\u2019s life. The symptoms and the initial signs of these diseases are common to the people with irregular lifestyle. In this paper, we propose a novel healthcare framework to manage lifestyle diseases using long-term activity monitoring. The framework recognizes the user\u2019s activities with the help of the sensed data in runtime and reports the irregular and unhealthy activity patterns to a doctor and a caregiver. The proposed framework is a hierarchical structure that consists of three modules: activity recognition, activity pattern generation and lifestyle disease prediction. We show that it is possible to assess the possibility of lifestyle diseases from the sensor data. We also show the viability of the proposed framework.<\/jats:p>","DOI":"10.3390\/s120505363","type":"journal-article","created":{"date-parts":[[2012,4,26]],"date-time":"2012-04-26T11:04:10Z","timestamp":1335438250000},"page":"5363-5379","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["A Framework for Supervising Lifestyle Diseases Using Long-Term Activity Monitoring"],"prefix":"10.3390","volume":"12","author":[{"given":"Yongkoo","family":"Han","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea"}]},{"given":"Manhyung","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea"}]},{"given":"Sungyoung","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea"}]},{"given":"A. M. Jehad","family":"Sarkar","sequence":"additional","affiliation":[{"name":"Deptartment of Digital Information Engineering, Hankuk University of Foreign Studies, 89 Wangsan-ri, Mohyeon-myeon, Cheoin-gu, 449-791, Korea"}]},{"given":"Young-Koo","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2012,4,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1177\/026921558900300301","article-title":"Measurement of activities of daily living","volume":"3","author":"Barer","year":"1989","journal-title":"Clin. Rehabil."},{"key":"ref_2","first-page":"1","article-title":"Deaths: Final data for 1999","volume":"49","author":"Donna","year":"2001","journal-title":"Natl. Vital Stat. Rep."},{"key":"ref_3","unstructured":"Willett, W., Koplan, J., Nugent, R., Dusenbury, C., Puska, C., and Gaziano, T. (2006). Prevention of Chronic Disease by Means of Diet and Lifestyle Changes, Disease Control Priorities in Developing Countries, Oxford University Press. [2nd ed.]."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1645","DOI":"10.1001\/archinte.161.13.1645","article-title":"Ten years of life: Is it a matter of choice?","volume":"61","author":"Fraser","year":"2001","journal-title":"Arch. Internal Med."},{"key":"ref_5","unstructured":"Mayo Clinic Staff Available online: http:\/\/www.mayoclinic.com\/health\/depression\/DS00175 (accessed on 18 April 2012)."},{"key":"ref_6","unstructured":"US Department of Health and Human Services (2002). Physical Activity Fundamental to Preventing Disease, US Department of Health and Human Services."},{"key":"ref_7","unstructured":"Macera, C.A., Jones, D.A., Yore, M.M., and Ham, S.A. (2003). Prevalence of Physical Activity, Including Lifestyle Activities Among Adults\u2014United States, 2000\u20132001, Centers for Disease Control and Prevention 1600 Clifton Rd. Morbidity and Mortality Weekly Report."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"7","DOI":"10.3810\/pgm.2010.05.2137","article-title":"Partnering with patients to improve therapeutic outcomes: Incretin-based therapy for type 2 diabetes","volume":"122","author":"Daniel","year":"2010","journal-title":"Postgrad. Med."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MEMB.2003.1213628","article-title":"Health monitoring in the home of the future","volume":"22","author":"Korhonen","year":"2003","journal-title":"IEEE Eng. Med. Biol. Mag."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"S\u00f6derlund, R., Reijonen, P., and Br\u00e4nnback, M. (2000). A web-based solution for enhancing diabetic well-being. Manag. Healthc. Inf. Syst. Web Enabled Technol., 205\u2013221.","DOI":"10.4018\/978-1-878289-65-0.ch014"},{"key":"ref_11","unstructured":"P\u00e4rkk\u00e4, J., van Gils, M., Tuomisto, T., Lappalainen, R., and Korhonen, I. (2000, January 9\u201310). A Wireless Wellness Monitor for Personal Weight Management. Arlington, MA, USA."},{"key":"ref_12","unstructured":"Van Gils, M., P\u00e4rkk\u00e4, J., Lappalainen, R., Ahonen, A., Maukonen, A., Tuomisto, T., L\u00f6tj\u00f6nen, J., Cluitmans, L., and Korhonen, I. (2001, January 25\u201328). Feasibility and User Acceptance of a Personal Weight Management System based on Ubiquitous Computing. Istanbul, Turkey."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.1109\/TBME.2002.805452","article-title":"A system for automatic measurement of circadian activity deviations in telemedicine","volume":"49","author":"Virone","year":"2002","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1109\/TITB.2007.904157","article-title":"Behavioral patterns of older adults in assisted living","volume":"12","author":"Virone","year":"2008","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_15","first-page":"198","article-title":"Home telehealth: Connecting care within the community","volume":"7","author":"Ohta","year":"2006","journal-title":"Med. Telemat."},{"key":"ref_16","first-page":"234","article-title":"Modeling of behavioral patterns for abnormality detection in the context of lifestyle reassurance","volume":"5197","author":"Cardinaux","year":"2008","journal-title":"Lect. Note Comput. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1109\/TITB.2011.2113352","article-title":"Detection of abnormal living patterns for elderly living alone using support vector data description","volume":"15","author":"Shin","year":"2011","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_18","unstructured":"Logan, B., Healey, J., Philipose, M., Tapia, E.M., and Intille, S. (2007, January 16\u201319). A Long-term Evaluation of Sensing Modalities for Activity Recognition. Innsbruck, Austria. Volume 4717."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1007\/978-3-540-24646-6_10","article-title":"Activity recognition in the home setting using simple and ubiquitous sensors","volume":"3001","author":"Tapia","year":"2004","journal-title":"Pervasive Comput."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1007\/11428572_5","article-title":"Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors","volume":"3468","author":"Wilson","year":"2005","journal-title":"Pervasive Comput."},{"key":"ref_21","unstructured":"Wilson, D., and Atkeson, C. (2004, January 24). Automatic Health Monitoring Using Anonymous, Binary Sensors. Vienna, Austria."},{"key":"ref_22","unstructured":"Kasteren, T., Noulas, A., Englebienne, G., and Kr\u00f6se, B. (2008, January 21). Accurate Activity Recognition in a Home Setting. Seoul, Korea."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"253","DOI":"10.3233\/AIS-2010-0071","article-title":"Activity recognition using temporal evidence theory","volume":"2","author":"McKeever","year":"2010","journal-title":"J. Ambient Intell. Smart Environ."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Bao, L., and Intille, S.S. (2004, January 18). Activity Recognition from User-Annotated Acceleration Data. Vienna, Austria.","DOI":"10.1007\/978-3-540-24646-6_1"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Lombriser, C., Bharatula, N.B., Roggen, D., and Troster, G. (2007, January 11). On-body Activity Recognition in a Dynamic Sensor Network. Florence, Italy.","DOI":"10.4108\/bodynets.2007.114"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Muncaster, J., and Ma, Y. (2007, January 23). Activity Recognition Using Dynamic Bayesian Networks with Automatic State Selection. Austin, USA.","DOI":"10.1109\/WMVC.2007.5"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.cviu.2006.07.014","article-title":"Conditional models for contextual human motion recognition","volume":"104","author":"Sminchisescu","year":"2006","journal-title":"Comput. Vis. Image Underst."},{"key":"ref_28","unstructured":"Ravi, N., Dandekar, N., Mysore, P., and Littman, L. (2005, January 9\u201313). Activity Recognition from Accelerometer Data. Pittsburgh, USA."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1007\/s10489-010-0217-4","article-title":"GPARS: A general-purpose activity recognition system","volume":"35","author":"Jehad","year":"2011","journal-title":"Appl. Intell."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3988","DOI":"10.3390\/s110403988","article-title":"An intelligent tool for activity data collection","volume":"11","author":"Jehad","year":"2011","journal-title":"Sensors"},{"key":"ref_31","unstructured":"National Health and Nutrition Examination Survey (NHANES) conducted from 1999\u20132002."},{"key":"ref_32","unstructured":"Illuminating Engineering Society of North America (1987). IES Lighting Handbook, Illuminating Engineering Society of North America. [9th ed.]."},{"key":"ref_33","unstructured":"Mark, H., Eibe, F., Geoffrey, H., Bernhard, P., Peter, R., and Ian, H. (2009, January 28). The WEKA Data Mining Software: An Update. Paris, France. Volume 11."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1007\/978-3-642-05408-2_10","article-title":"Sensor-based human activity recognition in a multi-user scenario","volume":"5859","author":"Wang","year":"2009","journal-title":"Lect. Notes Comput. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Hsu, K., Chiang, Y., Lin, G., Lu, C., Hsu, J.Y., and Fu, L. (2010, January 1\u20134). Strategies for Inference Mechanism of Conditional Random Fields for Multiple-resident Activity Recognition in a Smart Home. Cordoba, Spain.","DOI":"10.1007\/978-3-642-13022-9_42"},{"key":"ref_36","unstructured":"Yi-Ting, C., Kuo-Chung, H., Ching-Hu, L., Li-Chen, F., and Hsu, J. (2010, January 18\u201322). Interaction Models for Multiple-resident Activity Recognition in a Smart Home. Taipei, Taiwan."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/12\/5\/5363\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:50:00Z","timestamp":1760219400000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/12\/5\/5363"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,4,26]]},"references-count":36,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2012,5]]}},"alternative-id":["s120505363"],"URL":"https:\/\/doi.org\/10.3390\/s120505363","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2012,4,26]]}}}