The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition

Calories refer to a unit of energy that people should consume based on total energy needed. Thus, a system for health monitoring applications that can measure calories and nutrition can be very useful. This research is mainly focused on creating a new algorithm based on classification technique to...

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Main Authors: M. A., Ameedeen, Marhaini, M. S.
Format: Conference or Workshop Item
Language:en
en
Published: 2016
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8335/1/The%20Potential%20of%20a%20Classification-based%20Algorithm%20to%20Calculate%20Calories%20in%20Real-Time%20Via%20Pattern%20Recognition.pdf
http://umpir.ump.edu.my/id/eprint/8335/7/fskkp-2016-ariff-The%20Potential%20of%20a%20Classification.pdf
http://umpir.ump.edu.my/id/eprint/8335/
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author M. A., Ameedeen
Marhaini, M. S.
author_facet M. A., Ameedeen
Marhaini, M. S.
author_sort M. A., Ameedeen
building UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
description Calories refer to a unit of energy that people should consume based on total energy needed. Thus, a system for health monitoring applications that can measure calories and nutrition can be very useful. This research is mainly focused on creating a new algorithm based on classification technique to calculate food calorie intake in real-time. Enhancement on Extreme Learning Machine (ELM) algorithm will be done to get better results in terms of accuracy and speed of calculating the food calorie. The ELM algorithm will be applied to an ultra-mobile Near Infrared (NIR) spectrometer. While the algorithm helped to classify different types of wavelengths produced from the sensor, a classification-based algorithm via Pattern Recognition Method will be used to classify and match the food components. The results will displayed the total amount of calories consumed per day, per week and per month with total amount of calories left in a mobile application.
format Conference or Workshop Item
id my.ump.umpir.8335
institution Universiti Malaysia Pahang
language en
en
publishDate 2016
record_format eprints
spelling my.ump.umpir.83352018-09-26T05:21:48Z http://umpir.ump.edu.my/id/eprint/8335/ The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition M. A., Ameedeen Marhaini, M. S. QA76 Computer software Calories refer to a unit of energy that people should consume based on total energy needed. Thus, a system for health monitoring applications that can measure calories and nutrition can be very useful. This research is mainly focused on creating a new algorithm based on classification technique to calculate food calorie intake in real-time. Enhancement on Extreme Learning Machine (ELM) algorithm will be done to get better results in terms of accuracy and speed of calculating the food calorie. The ELM algorithm will be applied to an ultra-mobile Near Infrared (NIR) spectrometer. While the algorithm helped to classify different types of wavelengths produced from the sensor, a classification-based algorithm via Pattern Recognition Method will be used to classify and match the food components. The results will displayed the total amount of calories consumed per day, per week and per month with total amount of calories left in a mobile application. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8335/1/The%20Potential%20of%20a%20Classification-based%20Algorithm%20to%20Calculate%20Calories%20in%20Real-Time%20Via%20Pattern%20Recognition.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/8335/7/fskkp-2016-ariff-The%20Potential%20of%20a%20Classification.pdf M. A., Ameedeen and Marhaini, M. S. (2016) The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition. In: 3rd International Conference on Communication and Computer Engineering (ICOCOE 2016) , 15-17 March 2016 , Bandung, Indonesia. . (Unpublished) (Unpublished) DOI: 10.1016/j.cherd.2013.12.001
spellingShingle QA76 Computer software
M. A., Ameedeen
Marhaini, M. S.
The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
title The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
title_full The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
title_fullStr The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
title_full_unstemmed The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
title_short The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition
title_sort potential of a classification-based algorithm to calculate calories in real-time via pattern recognition
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/8335/1/The%20Potential%20of%20a%20Classification-based%20Algorithm%20to%20Calculate%20Calories%20in%20Real-Time%20Via%20Pattern%20Recognition.pdf
http://umpir.ump.edu.my/id/eprint/8335/7/fskkp-2016-ariff-The%20Potential%20of%20a%20Classification.pdf
http://umpir.ump.edu.my/id/eprint/8335/
url_provider http://umpir.ump.edu.my/