JomImageProcessing: Machine Learning Weight Control with SnapFudo

Authors

  • P.S. JosephNg UCSI University, Malaysia
  • V. Vivilyana Malaysia

Keywords:

food, calorie, healthy, weight loss, obesity, overweight, image recognition, food recognition

Abstract

Tracking the calorie of food consumed is becoming harder when eating outside. With many fast food choices available almost everywhere, the consumption of fast food is high among Malaysian. While numerous calorie-tracking apps are available in the market, these apps require manual inputs that are frustrating yet demotivating. With the application of
machine learning, this study will involve image recognition of food to ease the food input for the user. From the survey data collected, most respondents are aware of Body Mass Index (BMI) but find it difficult to track their calorie intake, especially when eating out. Respondents also have difficulties identifying each ingredient and how much the quantity in their meals. As a result, the implemented apps can guide the user on losing weight healthily and motivating them to achieve their weight goals.

Downloads

Published

2021-06-28

How to Cite

JosephNg, P., & V. Vivilyana. (2021). JomImageProcessing: Machine Learning Weight Control with SnapFudo. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 13(2), 35–43. Retrieved from https://jtec.utem.edu.my/jtec/article/view/5890

Issue

Vol. 13 No. 2 (2021): April - June 2021

Section

Articles

License

TRANSFER OF COPYRIGHT AGREEMENT

The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):

  1. All proprietary right other than copyright, such as patent rights
  2. The right to make further copies of all or part of the published article for my use in classroom teaching
  3. The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
  4. The right to make copies of the published work for internal distribution within the institution that employs me

I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.