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Fuzzy Logic Based Weight Balancing

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Artificial Intelligence and Algorithms in Intelligent Systems (CSOC2018 2018)

Abstract

Human race is affected by a silent but dangerous disease known as obesity. This is the result of the difference between the high calorie intake and low calorie burn. Though most of the people do not realize that they are slowly being engulfed by this disease which can be easily prevented by some simple measures. Along with obesity, underweight is also an issue. To avoid these issues a calorie based diet is the best solution. To recover from this obesity, people need to lose weight and to recover from underweight, people need to gain some weight, both depend on calorie intake and calorie burn. So, to assist with this weight-loss and weight-gain a fuzzy logic based weight loss/gain training program is proposed in this research.

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References

  1. Obesity and overweight, June 2016. http://www.who.int/mediacentre/factsheets/fs311/en/

  2. BMI classification. http://apps.who.int/bmi/index.jsp?introPage=intro3.htm

  3. Toumasis, C.: A mathematical diet model. Teach. Math. Appl. 23(4), 165–171 (2004)

    Google Scholar 

  4. Cespedes, A.: Non-Starving, 1200-calorie diet. 18 July 2017. http://www.livestrong.com/article/312891-calories-per-day-to-lose-3-lbs-perweek/

  5. Michalek, A.: What is the maximum weight loss per day? 18 July 2017. http://www.livestrong.com/article/405585-what-is-the-maximumweight-loss-per-day/

  6. McNab, B.K.: On the utility of uniformity in the definition of basal rate of metabolism. Physiol. Zoology 70(06), 718–720 (1997). https://doi.org/10.1086/5158817

    Article  Google Scholar 

  7. Manini, T.M.: Energy expenditure and aging. Ageing Res. Rev. 9, 1–11 (2010)

    Article  Google Scholar 

  8. Mifflin, M.D., St Jeor, S.T., Hill, L.A., Scott, B.J., Daugherty, S.A., Koh, Y.O.: A new predictive equation for resting energy expenditure in healthy individuals. Am. J. Clin. Nutr. 51(2), 241–247 (1990). PMID: 2305711

    Article  Google Scholar 

  9. Liu, C.-T., Chan, C.-T.: A fuzzy logic prompting mechanism based on pattern recognition and accumulated activity effective index using a smartphone embedded sensor. Sensors (Basel, Switzerland) 16(8), 1322 (2016). http://doi.org/10.3390/s16081322

    Article  Google Scholar 

  10. Lee, C.-S., Wang, M.-H., Acampora, G., Hsu, C.-Y., Hagras, H.: Diet assessment based on type-2 fuzzy ontology and fuzzy markup language. Int. J. Intell. Syst. 25, 1187–1216 (2010). https://doi.org/10.1002/int.20449

    Article  Google Scholar 

  11. Wing, R.R., Phelan, S.: Long-term weight loss maintenance. Am. J. Clin. Nutr. 82(1 Suppl), 222S–225S (2005). PMID: 16002825

    Article  Google Scholar 

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Correspondence to Rashedur M. Rahman .

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Farhad, M.S.I. et al. (2019). Fuzzy Logic Based Weight Balancing. In: Silhavy, R. (eds) Artificial Intelligence and Algorithms in Intelligent Systems. CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 764. Springer, Cham. https://doi.org/10.1007/978-3-319-91189-2_35

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