{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T17:26:51Z","timestamp":1783790811451,"version":"3.55.0"},"reference-count":85,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2019,7,24]],"date-time":"2019-07-24T00:00:00Z","timestamp":1563926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"4IE project","award":["0045-4IE-4-P"],"award-info":[{"award-number":["0045-4IE-4-P"]}]},{"name":"4IE+ project","award":["0499-4IE-PLUS-4-E"],"award-info":[{"award-number":["0499-4IE-PLUS-4-E"]}]},{"name":"Spanish Ministry of Science, Innovation and Universities","award":["RTI2018-094591-B-I00"],"award-info":[{"award-number":["RTI2018-094591-B-I00"]}]},{"name":"Department of Economy and Infrastructure of the Government of Extremadura","award":["GR18112, IB18030"],"award-info":[{"award-number":["GR18112, IB18030"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The dietary habits of people directly impact their health conditions. Especially in elder populations (in 2017, 6.7% of the world\u2019s population was over 65 years of age), these habits could lead to important-nutrient losses that could seriously affect their cognitive and functional state. Recently, a great research effort has been devoted to using different technologies and proposing different techniques for monitoring food-intake. Nevertheless, these techniques are usually generic but make use of the most innovative technologies and methodologies to obtain the best possible monitoring results. However, a large percentage of elderly people live in depopulated rural areas (in Spain, 28.1% of the elderly population lives in this type of area) with a fragile cultural and socioeconomic context. The use of these techniques in these environments is crucial to improving this group\u2019s quality of life (and even reducing their healthcare expenses). At the same time, it is especially challenging since they have very specific and strict requirements regarding the use and application of technology. In this Systematic Literature Review (SLR), we analyze the most important proposed technologies and techniques in order to identify whether they can be applied in this context and if they can be used to improve the quality of life of this fragile collective. In this SLR, we have analyzed 326 papers. From those, 29 proposals have been completely analyzed, taking into account the characteristics and requirements of this population.<\/jats:p>","DOI":"10.3390\/s19153265","type":"journal-article","created":{"date-parts":[[2019,7,24]],"date-time":"2019-07-24T10:48:19Z","timestamp":1563965299000},"page":"3265","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Systematic Literature Review of Food-Intake Monitoring in an Aging Population"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4096-1282","authenticated-orcid":false,"given":"Enrique","family":"Moguel","sequence":"first","affiliation":[{"name":"Av. de la Universidad, s\/n. University of Extremadura, 10004 C\u00e1ceres, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1007-2134","authenticated-orcid":false,"given":"Javier","family":"Berrocal","sequence":"additional","affiliation":[{"name":"Av. de la Universidad, s\/n. University of Extremadura, 10004 C\u00e1ceres, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jos\u00e9","family":"Garc\u00eda-Alonso","sequence":"additional","affiliation":[{"name":"Av. de la Universidad, s\/n. University of Extremadura, 10004 C\u00e1ceres, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,7,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1016\/S0140-6736(14)61464-1","article-title":"Macroeconomic implications of population ageing and selected policy responses","volume":"385","author":"Bloom","year":"2015","journal-title":"Lancet"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Berry, E.H., and Kirschner, A. (2013). Demography of Rural Aging. Rural Aging in 21st Century America, Springer.","DOI":"10.1007\/978-94-007-5567-3_2"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"850","DOI":"10.7326\/0003-4819-123-11-199512010-00008","article-title":"Nutritional Issues in Nursing Home Care","volume":"123","author":"Morley","year":"1995","journal-title":"Ann. Intern. Med."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Burris, M., Kihlstrom, L., Arce, K.S., Prendergast, K., Dobbins, J., McGrath, E., Renda, A., Shannon, E., Cordier, T., and Song, Y. (2019). Food Insecurity, Loneliness, and Social Support among Older Adults. J. Hunger. Environ. Nutr., 1\u201316.","DOI":"10.1080\/19320248.2019.1595253"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"38","DOI":"10.7812\/TPP\/05-056","article-title":"Malnutrition in the elderly: A multifactorial failure to thrive","volume":"9","author":"Evans","year":"2005","journal-title":"Perm. J."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1079\/PNS2001138","article-title":"Early diet and growth: Impact on ageing","volume":"61","author":"Sayer","year":"2002","journal-title":"Proc. Nutr. Soc."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1079\/PHN2003584","article-title":"A life course approach to diet, nutrition and the prevention of chronic diseases","volume":"7","author":"Nishida","year":"2004","journal-title":"Public Health Nutr."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1054\/clnu.2001.0477","article-title":"Malnutrition in hospitalized elderly patients: When does it matter?","volume":"20","author":"Gariballa","year":"2001","journal-title":"Clin. Nutr."},{"key":"ref_9","unstructured":"World Health Organization (1996). Methods of monitoring food and nutrient intake. Preparation and Use of Food-Based Dietary Guidelines, World Health Organization. Chapter 3."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"551","DOI":"10.1093\/ajcn\/77.3.551","article-title":"Nutritional risk assessment and obesity in rural older adults: A sex difference","volume":"77","author":"Ledikwe","year":"2003","journal-title":"Am. J. Clin. Nutr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1007\/s12603-013-0032-9","article-title":"Nutritional status of community-dwelling elderly with newly diagnosed Alzheimer\u2019s disease: Prevalence of malnutrition and the relation of various factors to nutritional status","volume":"17","author":"Droogsma","year":"2013","journal-title":"J. Nutr. Health Aging"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.clnu.2015.01.008","article-title":"Malnutrition and frailty in community dwelling older adults living in a rural setting","volume":"35","author":"Boulos","year":"2016","journal-title":"Clin. Nutr."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Khanam, M.A., Qiu, C., Lindeboom, W., Streatfield, P.K., Kabir, Z.N., and Wahlin, \u00c5. (2011). The metabolic syndrome: prevalence, associated factors, and impact on survival among older persons in rural Bangladesh. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0020259"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Fuchs, K.L., Haldimann, M., Vuckovac, D., and Ilic, A. (2018, January 17\u201319). Automation of Data Collection Techniques for Recording Food Intake: A Review of Publicly Available and Well-Adopted Diet Apps. Proceedings of the 2018 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea.","DOI":"10.1109\/ICTC.2018.8539468"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1186\/s12966-016-0434-2","article-title":"The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review","volume":"13","author":"Alley","year":"2016","journal-title":"Int. J. Behav. Nutr. Phys. Act."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1017\/S1368980013000153","article-title":"The health benefits of selective taxation as an economic instrument in relation to IHD and nutrition-related cancers","volume":"16","author":"Holm","year":"2013","journal-title":"Public Health Nutr."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Doulah, A., Yang, X., Parton, J., Higgins, J.A., McCrory, M.A., and Sazonov, E. (2018, January 18\u201321). The importance of field experiments in testing of sensors for dietary assessment and eating behavior monitoring. Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA.","DOI":"10.1109\/EMBC.2018.8513623"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Farooq, M., Doulah, A., Parton, J., McCrory, M., Higgins, J., and Sazonov, E. (2019). Validation of Sensor-Based Food Intake Detection by Multicamera Video Observation in an Unconstrained Environment. Nutrients, 11.","DOI":"10.3390\/nu11030609"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Moguel, E., Berrocal, J., Murillo, J., Garcia-Alonso, J., Mendes, D., Fonseca, C., Lopes, M., Moguel, E., Berrocal, J., and Murillo, J.M. (2018). Monitoring Food Intake in an Aging Population: A Survey on Technological Solutions. Proceedings, 2.","DOI":"10.3390\/proceedings2190445"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Biegel, D.E., and Leibbrandt, S. (2006). Elders Living in Poverty. Handbook of Social Work in Health and Aging, Oxford University Press.","DOI":"10.1093\/acprof:oso\/9780195173727.003.0014"},{"key":"ref_21","unstructured":"Rector, C., Avila, M., and Strand, S. (2013). Community & Public Health Nursing: Promoting the Public\u2019s Health, Wolters Kluwer."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.amepre.2006.08.029","article-title":"Creating a Robust Public Health Infrastructure for Physical Activity Promotion","volume":"32","author":"Yancey","year":"2007","journal-title":"Am. J. Prev. Med."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1177\/089124249300700109","article-title":"Migrating Retirees: A Source for Economic Development","volume":"7","author":"Fagan","year":"1993","journal-title":"Econ. Dev. Q."},{"key":"ref_24","unstructured":"Butler, S.S., and Kaye, L.W. (2011). Gerontological Social Work in Small Towns and Rural Communities, Routledge."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.archger.2005.03.002","article-title":"Predictors and subjective causes of loneliness in an aged population","volume":"41","author":"Savikko","year":"2005","journal-title":"Arch. Gerontol. Geriatr."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1037\/0882-7974.12.4.574","article-title":"Loneliness and nursing home admission among rural older adults","volume":"12","author":"Russell","year":"1997","journal-title":"Psychol. Aging"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1109\/MPRV.2017.1","article-title":"A Survey of Diet Monitoring Technology","volume":"16","author":"Kalantarian","year":"2017","journal-title":"IEEE Pervasive Comput."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Vu, T., Lin, F., Alshurafa, N., and Xu, W. (2017). Wearable food intake monitoring technologies: A comprehensive review. Computers, 6.","DOI":"10.3390\/computers6010004"},{"key":"ref_29","unstructured":"Kitchenham, B., and Charters, S. (2007). Guidelines for Performing Systematic Literature Reviews in Software Engineering, Durham University. Technical Report."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.infsof.2008.09.009","article-title":"Systematic literature reviews in software engineering\u2014A systematic literature review","volume":"51","author":"Kitchenham","year":"2009","journal-title":"Inf. Softw. Technol."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Petersen, K., Feldt, R., Mujtaba, S., and Mattsson, M. (2008, January 26\u201327). Systematic Mapping Studies in Software Engineering. Proceedings of the 12th International Conference on Evaluation and Assessment in Software Engineering, Bari, Italy.","DOI":"10.14236\/ewic\/EASE2008.8"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1016\/j.jss.2006.10.031","article-title":"Introduction to special section on Evaluation and Assessment in Software Engineering EASE06","volume":"80","author":"Kitchenham","year":"2007","journal-title":"J. Syst. Softw."},{"key":"ref_33","unstructured":"Scopus (2019, July 23). Scopus Web Page. Available online: www.scopus.com."},{"key":"ref_34","unstructured":"Enrique Moguel (2019, July 23). Search in Scopus. Available online: https:\/\/goo.gl\/GzbXaP."},{"key":"ref_35","unstructured":"NCBI (2019, July 23). PubMed, Available online: https:\/\/www.ncbi.nlm.nih.gov\/pubmed."},{"key":"ref_36","unstructured":"ProQuest (2019, July 23). PsycINFO. Available online: https:\/\/search.proquest.com\/psycinfo\/advanced."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1007\/s10614-017-9702-8","article-title":"Measurement Error Models for Replicated Data Under Asymmetric Heavy-Tailed Distributions","volume":"52","author":"Cao","year":"2018","journal-title":"Comput. Econ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Liu, Q., Zhang, Y., Liu, Z., Yuan, Y., Cheng, L., and Zimmermann, R. (2018, January 2\u20137). Multi-modal Multi-task Learning for Automatic Dietary Assessment. Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, LA, USA. Technical Report.","DOI":"10.1609\/aaai.v32i1.11848"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.compag.2016.05.015","article-title":"A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle","volume":"127","author":"Chelotti","year":"2016","journal-title":"Comput. Electron. Agric."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Li, Y., Wang, X., Chen, Q., Hou, Y., Xia, Q., and Zhao, P. (2016). Metabolomics Analysis of the Larval Head of the Silkworm, Bombyx mori. Int. J. Mol. Sci., 17.","DOI":"10.3390\/ijms17091460"},{"key":"ref_41","unstructured":"Moguel, E., Garcia-Alonso, J., and Berrocal, J. (2019, July 23). Reviewed Papers in the SLR. Available online: https:\/\/docs.google.com\/spreadsheets\/d\/1QfYodc3DOUVf7hU9tE82HGotzQYiGnlO5FxUqTV9Qoo\/edit?usp=sharing."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"S50","DOI":"10.1038\/ejcn.2008.65","article-title":"Use of technology in children\u2019s dietary assessment","volume":"63","author":"Boushey","year":"2009","journal-title":"Eur. J. Clin. Nutr."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Research2guidance (2019, July 23). mHealth Economics 2016\u2014Current Status and Trends of the mHealth App Market; Technical Report; 2016. Available online: https:\/\/research2guidance.com\/product\/mhealth-app-developer-economics-2016\/.","DOI":"10.21037\/mhealth.2016.05.03"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"e101","DOI":"10.2196\/mhealth.4924","article-title":"Health App Use Among US Mobile Phone Owners: A National Survey","volume":"3","author":"Krebs","year":"2015","journal-title":"JMIR mHealth uHealth"},{"key":"ref_45","unstructured":"Aitken, M. (2015). Patient Adoption of mHealth, IMS Institute for Healthcare Informatics."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Villalobos, G., Almaghrabi, R., Hariri, B., and Shirmohammadi, S. (2011, January 1). A personal assistive system for nutrient intake monitoring. Proceedings of the 2011 International ACM Workshop on Ubiquitous Meta User Interfaces\u2014Ubi-MUI \u201911, Scottsdale, AZ, USA.","DOI":"10.1145\/2072652.2072657"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Ocay, A.B., Fernandez, J.M., and Palaoag, T.D. (2017, January 13\u201316). NutriTrack: Android-based food recognition app for nutrition awareness. Proceedings of the 2017 3rd IEEE International Conference on Computer and Communications (ICCC), Chengdu, China.","DOI":"10.1109\/CompComm.2017.8322907"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Kim, S., Schap, T., Bosch, M., Maciejewski, R., Delp, E.J., Ebert, D.S., and Boushey, C.J. (2010, January 1\u20133). Development of a Mobile User Interface for Image-based Dietary Assessment. Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, Limassol, Cyprus.","DOI":"10.1145\/1899475.1899488"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Okamoto, K., and Yanai, K. (2014, January 14\u201318). Real-time eating action recognition system on a smartphone. Proceedings of the 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Chengdu, China.","DOI":"10.1109\/ICMEW.2014.6890718"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MMUL.2015.39","article-title":"FoodLog: Multimedia Tool for Healthcare Applications","volume":"22","author":"Aizawa","year":"2015","journal-title":"IEEE Multimed."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Noronha, J., Hysen, E., Zhang, H., and Gajos, K.Z. (2011, January 16\u201319). Platemate: Crowdsourcing nutritional analysis from food photographs. Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology\u2014UIST \u201911, Santa Barbara, CA, USA.","DOI":"10.1145\/2047196.2047198"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Thomaz, E., Parnami, A., Essa, I., and Abowd, G.D. (2013, January 18\u201319). Feasibility of identifying eating moments from first-person images leveraging human computation. Proceedings of the 4th International SenseCam & Pervasive Imaging Conference on-SenseCam \u201913, San Diego, CA, USA.","DOI":"10.1145\/2526667.2526672"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"2643","DOI":"10.1109\/ACCESS.2018.2879117","article-title":"A Framework to Estimate the Nutritional Value of Food in Real Time Using Deep Learning Techniques","volume":"7","author":"Yunus","year":"2019","journal-title":"IEEE Access"},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Liao, H.C., Lim, Z.Y., and Lin, H.W. (2016, January 13\u201315). Food intake estimation method using short-range depth camera. Proceedings of the 2016 IEEE International Conference on Signal and Image Processing (ICSIP), Beijing, China.","DOI":"10.1109\/SIPROCESS.2016.7888252"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"19769","DOI":"10.1007\/s11042-017-5346-x","article-title":"Context based image analysis with application in dietary assessment and evaluation","volume":"77","author":"Wang","year":"2018","journal-title":"Multimed. Tools Appl."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Farooq, M., and Sazonov, E. (2017, January 4\u20136). Real time monitoring and recognition of eating and physical activity with a wearable device connected to the eyeglass. Proceedings of the 2017 Eleventh International Conference on Sensing Technology (ICST), Sydney, NSW, Australia.","DOI":"10.1109\/ICSensT.2017.8304420"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1109\/JBHI.2017.2698523","article-title":"Monitoring Chewing and Eating in Free-Living Using Smart Eyeglasses","volume":"22","author":"Zhang","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1109\/JBHI.2016.2640142","article-title":"Segmentation and Characterization of Chewing Bouts by Monitoring Temporalis Muscle Using Smart Glasses With Piezoelectric Sensor","volume":"21","author":"Farooq","year":"2017","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Papapanagiotou, V., Diou, C., Zhou, L., van den Boer, J., Mars, M., and Delopoulos, A. (2016, January 16\u201320). A novel approach for chewing detection based on a wearable PPG sensor. Proceedings of the 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA.","DOI":"10.1109\/EMBC.2016.7592214"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Zhang, R., and Amft, O. (2016, January 12\u201316). Regular-look eyeglasses can monitor chewing. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Adjunct\u2014UbiComp \u201916, Heidelberg, Germany.","DOI":"10.1145\/2968219.2971374"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Zhang, R., and Amft, O. (2016, January 12\u201316). Bite glasses\u2014Measuring chewing using EMG and bone vibration in smart eyeglasses. Proceedings of the 2016 ACM International Symposium on Wearable Computers\u2014ISWC \u201916, Heidelberg, Germany.","DOI":"10.1145\/2971763.2971799"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Zhang, R., Bernhart, S., and Amft, O. (2016, January 14\u201317). Diet eyeglasses: Recognising food chewing using EMG and smart eyeglasses. Proceedings of the 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN), San Francisco, CA, USA.","DOI":"10.1109\/BSN.2016.7516224"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/MPRV.2009.32","article-title":"On-Body Sensing Solutions for Automatic Dietary Monitoring","volume":"8","author":"Amft","year":"2009","journal-title":"IEEE Pervasive Comput."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Pa\u00dfler, S., and Fischer, W.J. (2011, January 25\u201328). Food Intake Activity Detection Using a Wearable Microphone System. Proceedings of the 2011 Seventh International Conference on Intelligent Environments, Nottingham, UK.","DOI":"10.1109\/IE.2011.9"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Kalantarian, H., Alshurafa, N., and Sarrafzadeh, M. (2014, January 16\u201319). A Wearable Nutrition Monitoring System. Proceedings of the 2014 11th International Conference on Wearable and Implantable Body Sensor Networks, Zurich, Switzerland.","DOI":"10.1109\/BSN.2014.26"},{"key":"ref_66","unstructured":"Dong, B., and Biswas, S. (2013, January 3\u20137). Wearable diet monitoring through breathing signal analysis. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Lee, J., Paudyal, P., Banerjee, A., and Gupta, S.K.S. (2017, January 18\u201321). FIT-EVE&ADAM: Estimation of Velocity & Energy for Automated Diet Activity Monitoring. Proceedings of the 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, Mexico.","DOI":"10.1109\/ICMLA.2017.000-7"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Ghazal, M., Khalil, Y.A., Dehbozorgi, F.J., and Alhalabi, M.T. (2015, January 19\u201321). An integrated caregiver-focused mHealth framework for elderly care. Proceedings of the 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Abu Dhabi, UAE.","DOI":"10.1109\/WiMOB.2015.7347967"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Zhou, B., Cheng, J., Sundholm, M., Reiss, A., Huang, W., Amft, O., and Lukowicz, P. (2015, January 23\u201327). Smart table surface: A novel approach to pervasive dining monitoring. Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications (PerCom), St. Louis, MO, USA.","DOI":"10.1109\/PERCOM.2015.7146522"},{"key":"ref_70","unstructured":"Aarts, E., and Marzano, S. (2003). The New Everyday: Views on Ambient Intelligence, 010 Publishers."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Kwon, T., Park, E., and Chang, H. (2016, January 2\u20135). Smart Refrigerator for Healthcare Using Food Image Classification. Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics\u2014BCB \u201916, Seattle, WA, USA.","DOI":"10.1145\/2975167.2985644"},{"key":"ref_72","first-page":"835","article-title":"Food Recognition via Monitoring Power Leakage from a Microwave Oven","volume":"23","author":"Wei","year":"2015","journal-title":"J. Inf. Process."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Thong, Y.J., Nguyen, T., Zhang, Q., Karunanithi, M., and Yu, L. (2017, January 11\u201315). Predicting food nutrition facts using pocket-size near-infrared sensor. Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Seogwipo, Korea.","DOI":"10.1109\/EMBC.2017.8036931"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1080\/07315724.1996.10718620","article-title":"Interrelationships of food, nutrition, diet and health: the National Association of State Universities and Land Grant Colleges White Paper","volume":"15","author":"Bidlack","year":"1996","journal-title":"J. Am. Coll. Nutr."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Huang, Q., Yang, Z., and Zhang, Q. (2018, January 16\u201319). Smart-U: Smart Utensils Know what You Eat. Proceedings of the IEEE INFOCOM 2018\u2014IEEE Conference on Computer Communications, Honolulu, HI, USA.","DOI":"10.1109\/INFOCOM.2018.8486266"},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Kojima, T., Ijiri, T., White, J., Kataoka, H., and Hirabayashi, A. (2016, January 11\u201315). CogKnife: Food recognition from their cutting sounds. Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Seattle, WA, USA.","DOI":"10.1109\/ICMEW.2016.7574741"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Harous, S., Serhani, M.A., El Menshawy, M., and Benharref, A. (2017, January 26\u201330). Hybrid obesity monitoring model using sensors and community engagement. Proceedings of the 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), Valencia, Spain.","DOI":"10.1109\/IWCMC.2017.7986403"},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1016\/S0002-8223(95)00240-5","article-title":"Comparison of Eight Microcomputer Dietary Analysis Programs with the USDA Nutrient Data Base for Standard Reference","volume":"95","author":"Lee","year":"1995","journal-title":"J. Am. Diet. Assoc."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"486","DOI":"10.1016\/0141-9331(85)90164-4","article-title":"Dietary intake recorder based upon a single-board microcomputer","volume":"9","author":"Chapman","year":"1985","journal-title":"Microprocess. Microsyst."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/S0002-8223(21)03167-9","article-title":"A computerized diet analysis system for the research nutritionist","volume":"87","author":"Dare","year":"1987","journal-title":"J. Am. Diet. Assoc."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1109\/JBHI.2017.2709333","article-title":"Speech2Health: A Mobile Framework for Monitoring Dietary Composition From Spoken Data","volume":"22","author":"Hezarjaribi","year":"2018","journal-title":"IEEE J. Biomed. Health Inform."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.future.2017.05.037","article-title":"Expert system for nutrition care process of older adults","volume":"80","author":"Cioara","year":"2018","journal-title":"Future Gener. Comput. Syst."},{"key":"ref_83","unstructured":"Mukhopadhyay, S., Mehta, S., Williams, D., and Yadav, R. (2013, January 10\u201313). Health and wellbeing monitoring and advice: The next generation for tele-health systems. Proceedings of the 5th International Conference on Internet Technologies and Applications, ITA 2013, Glyndwr University, Wrexham, UK."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.pmcj.2016.05.001","article-title":"Rich contextual information for monitoring the elderly in an early stage of cognitive impairment","volume":"34","author":"Berrocal","year":"2017","journal-title":"Pervasive Mob. Comput."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.pmcj.2016.06.011","article-title":"Early analysis of resource consumption patterns in mobile applications","volume":"35","author":"Berrocal","year":"2017","journal-title":"Pervasive Mob. 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