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 (Unpublished)
![[img]](http://umpir.ump.edu.my/style/images/fileicons/application_pdf.png) |
PDF
The Potential of a Classification-based Algorithm to Calculate Calories in Real-Time Via Pattern Recognition.pdf Restricted to Repository staff only Download (299kB) | Request a copy |
|
|
PDF
fskkp-2016-ariff-The Potential of a Classification.pdf Download (17kB) | Preview |
Abstract
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.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | Extreme Learning Machine (ELM), Pattern Recognition, ultramobile Near Infrared (NIR) spectrometer, Food Calorie, Classification |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 28 Jul 2016 01:20 |
| Last Modified: | 26 Sep 2018 05:21 |
| URI: | http://umpir.ump.edu.my/id/eprint/8335 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |