Integrated Health Assessment System

Authors

  • Bhoi Nandini Machchhindra Department of Electronics and Telecommunication, R. C. Patel Institute of Technology Shirpur, India
  • Bhoi Gaurav Dilip Department of Electronics and Telecommunication, R. C. Patel Institute of Technology Shirpur, India
  • Chavan Vyankatesh Bharat Department of Electronics and Telecommunication, R. C. Patel Institute of Technology Shirpur, India
  • Samsher Shaila Ravindra Department of Electronics and Telecommunication, R. C. Patel Institute of Technology Shirpur, India
  • Prof. Dr. Pramod J. Deore Department of Mathematics, Diponegoro University, Semarang 50275, Indonesia
  • Prof. Kaustubh S. Sagale Department of Electronics and Telecommunication, R. C. Patel Institute of Technology Shirpur, India

DOI:

https://doi.org/10.26821/IJSHRE.12.5.2024.120507

Keywords:

Obesity, BMI. Display, webcam

Abstract

In response to concerns about childhood obesity, we implemented a project to improve the nutritional environment of schools and to test the adequate and healthy foods provided with school meals to support student health. The app recognizes food content, and its nutritional value, recognizes the student's face, and captures the student's weight, height, and BMI, all in real time. It is the preventive nutrition approach that leads to the prevention and control of diseases by providing proper nutrition to India's future pillars. A screen display is placed on the stand which shows the menu for a particular day. Food can be monitored through a web camera and even at the stand it takes an image of each student providing a reported student count with required students and knowing how much food a student needs for that day.

References

Freedman, D. S., Wang, J., Maynard, L. M., Thornton, J. C., Mei, Z., Pierson Jr, R. N., & Dietz, W. H. (2020). Relation of BMI to fat and fat-free mass among children and adolescents. International Journal of Obesity, 44(1), 1-9.

Peterson, C. M., Su, H., Vaida, F., Wong, L. L., McLaughlin, R., Vogel, R. M., & Barrett, E. (2019). A machine learning approach to predicting BMI from optical photonic sensors. PloS One, 14(4), e0216057.

Jain, A. K., Dass, S. C., & Nandakumar, K. (2016). Fingerprint recognition: An analysis of the state-of-the-art. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(1), 101-124.

Li, S. Z., Abate, A. F., & Porikli, F. (2018). Multimodal biometrics: State of the art and future directions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(6), 1431-1437.

Gonzalez, M., Pearson, M., Shu, Y. H., Amimi, M., Rehman, M., & West, R. J. (2021). Utilizing machine learning for dietary pattern recognition from body mass index (BMI) and food frequency questionnaire (FFQ) data. Nutrients, 13(4), 1116.

Schneiderman, B. (2020). Designing the user interface: Strategies for effective human-computer interaction. Pearson.

Nielsen, J., & Mack, R. L. (2019). Usability inspection methods. John Wiley & Sons.

K. Aizawa and M. Ogawa, "FoodLog: Multimedia Tool for Healthcare Applications" in IEEE MultiMedia, vol. 22, no. 02, pp. 4-8, doi: 10.1109/MMUL.39, 2015.

Tianyi Liu, Shuangsang Fang, Yuehui Zhao, Peng Wang, Jun Zhang, Implementation of Training Convolutional Neural Networks, Computer Science > Computer Vision and Pattern Recognition, 2015.

Dan C. Ciresan, Ueli Meier, Jonathan Masci, et al. Flexible, High Performance Convolutional Neural Networks for Image Classification[J]. Proceedings of the twenty-second International Joint Conference on Artificial Intelligence, 2011.

Hinton A K I S G. ImageNet classification with deep convolutional neural networks,” NIPS[J]. Advances in Neural Information Processing Systems, 2012.

Long MW, Henderson KE, Schwartz MB. Evaluating the impact of a Connecticut program to reduce the availability of unhealthy competitive food in schools. J Sch Health.;80(10):478-486. doi:10.1111/j.1746-1561.2010. 00531.x, 2010.

Food and Nutrition Service, USDA. National School Lunch Program and School Breakfast Program: nutrition standards for all foods sold in school as required by the Healthy, Hunger-Free Kids Act of 2010. Interim final rule. Fed Regist.78(125):39067-39120, 2013.

Tanaka N, Miyoshi M. School lunch program for health promotion among children in Japan. Asia Pac J Clin Nutr.21(1):155-158, 2012.

Taylor. (Nov. 2006). Assessment: A tool for development and engagement in the first year of university study. Presented at Engaging Students: 9th Pacific Rim in Higher Education (FYHE) Conf., Griffith, Australia.

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Published

2024-05-26

How to Cite

Bhoi Nandini Machchhindra, Bhoi Gaurav Dilip, Chavan Vyankatesh Bharat, Samsher Shaila Ravindra, Prof. Dr. Pramod J. Deore, & Prof. Kaustubh S. Sagale. (2024). Integrated Health Assessment System. iJournals:International Journal of Software & Hardware Research in Engineering ISSN:2347-4890, 12(5). https://doi.org/10.26821/IJSHRE.12.5.2024.120507