Abstract
People haven’t enough activity and bad eating habits in a busy life. And, people aren’t understanding nutrition health knowledge for foods and drink. People suffering from obesity and chronic disease risk are relatively high. People how to learn nutrition health knowledge are very important for reducing those risks. But, the applying of nutrition health education general is speech communication by nurse at the hospital. That learning situated is short time. People cannot enough understanding information. So, this paper proposed the use of mobile application to perform nutrition health education. When people or patients need health knowledge, they can use application system on the mobile device to get relation information anytime anywhere. Because the contents of nutrition health education are very large and complex, it’s impossible what people or patients want understanding at a short time. Therefore, this application can to apply people focusing on self-requirement to get relation information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Scaioli, G., Bert, F., Galis, V., Brusaferro, S., De Vito, E., La Torre, G., Manzoli, L., Messina, G., Torregrossa, M.V., Ricciardi, W., Gualano, M.R., Siliquin, R.: Pregnancy and internet: sociodemographic and geographic differences in e-health practice. Results from an Italian multicenter study. Public Health 129(9), 1258–1266 (2015)
Rosen, L.D., Lim, A.F., Felt, J., Carrier, L.M., Cheever, N.A., Lara-Ruiz, J.M., Mendoza, J.S., Rokkum, J.: Media and technology use predicts ill-being among children, preteens and teenagers independent of the negative health impacts of exercise and eating habits. Comput. Hum. Behav. 35, 364–375 (2014)
Tani, Y., Kondo, N., Takagi, D., Saito, M., Hikichi, H., Ojima, T., Kondo, K.: Combined effects of eating alone and living alone on unhealthy dietary behaviors, obesity and underweight in older Japanese adults: Results of the JAGESO. Appetite 95, 1–8 (2015)
Mayer-Brown, S., Lawless, C., Fedele, D., Dumont-Driscoll, M., Janicke, D.M.: The effects of media, self-esteem, and BMI on youth’s unhealthy weight control behaviors. Eating Behaviors, (in press) Available online 12 November 2015
Punja, S.G., Mislan, R.P.: Mobile device analysis. Small Scale Digit. Device Forensics J. 2(1), 1–16 (2008)
Kousaridas, A., Parissis, G., Apostolopoulos, T.: An open financial services architecture based on the use of intelligent mobile devices. Electron. Commer. Res. Appl. 7(2), 232–246 (2008)
Ramlakhan, K., Shang, Y.: A mobile automated skin lesion classification system. In: 2011 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 138–141 (2011)
Wadhawan, T., Situ, N., Rui, H., Lancaster, K., Yuan, X., Zouridakis, G.: Implementation of the 7-point checklist for melanoma detection on smart handheld devices. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, pp. 3180–3183 (2011)
Wadhawan, T., Situ, N., Lancaster, K., Yuan, X., Zouridakis, G.: SkinScan©: a portable library for melanoma detection on handheld devices. In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp. 133–136 (2011)
Grimaldi, D., Kurylyak, Y., Lamonaca, F., Nastro, A.: Photoplethysmography detection by smartphone’s videocamera. In: 2011 IEEE 6th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), vol. 1, pp. 488–491 (2011)
Oresko, J.J., Jin, Z., Cheng, J., Huang, S., Sun, Y., Duschl, H., Cheng, A.C.: A wearable smartphone-based platform for real-time cardiovascular disease detection via electrocardiogram processing. IEEE Trans. Inf. Technol. Biomed. 14(3), 734–740 (2010)
Lin, C.T., Chang, K.C., Lin, C.L., Chiang, C.C., Lu, S.W., Chang, S.S., Ko, L.W.: An intelligent telecardiology system using a wearable and wireless ECG to detect atrial fibrillation. IEEE Trans. Inf. Technol. Biomed. 1,4(3), 726–733 (2010)
Banitsas, K.A., Georgiadis, P., Tachakra, S., Cavouras, D.: Using handheld devices for real-time wireless teleconsultation. In: 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEMBS 20104, vol. 2, pp. 3105–3108 (2004)
Doukas, C., Pliakas, T., Maglogiannis, I.: Mobile healthcare information management utilizing Cloud Computing and Android OS. In: 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1037–1040 (2010)
Consolvo, S., Landay, J.A., McDonald, D.W.: Designing for behavior change in everyday life, pp. 405–414. Focus, San Francisco (2009)
Nakauchi, Y., Kozakai, K., Taniguchi, S., Fukuda, T.: Dietary and health information logging system for home health care services. In: IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007, pp. 275–280 (2007)
Matsumoto, T., Shimada, Y., Teo, T., Kawaji, S.: A design of information system improving dietary habit based on individual clinical data and life style. In: 21st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2008, pp. 173–175, June 2008
Antoniou, I., Nanou, T., Fotiadis, D., Likas, A.: An intelligent system for the provision of personalized dietary plans and health monitoring. In: 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, pp. 70–73 (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Li, HH., Luo, MH., Liao, YH. (2016). Use of Mobile Application for Nutrition Health Education. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2016. Lecture Notes in Computer Science(), vol 9656. Springer, Cham. https://doi.org/10.1007/978-3-319-31744-1_35
Download citation
DOI: https://doi.org/10.1007/978-3-319-31744-1_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-31743-4
Online ISBN: 978-3-319-31744-1
eBook Packages: Computer ScienceComputer Science (R0)