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Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]

The system itself does not succeed in helping Malaysians to build up a healthy lifestyle on their own using their gadgets. Some cater mainly in the area of physical fitness but ignore the vital food calories. While other current systems may not be suitable for Asians, mainly Malaysians, as the calcu...

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Main Authors: Abdul Rahman, Shuzlina, Mutalib, Sofianita, Salleh, Mohd Razali, Abdul Karim, Hilman
Format: Book Section
Language:English
Published: Research Innovation Business Unit 2014
Subjects:
Physical education and training. Physical fitness
Physical measurements. Physical tests, etc.
Testing. Evaluation of performance
Online Access:https://ir.uitm.edu.my/id/eprint/70717/1/70717.pdf
https://ir.uitm.edu.my/id/eprint/70717/
http://www.iidex.com.my
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id my.uitm.ir.70717
record_format eprints
spelling my.uitm.ir.707172023-03-21T08:51:09Z https://ir.uitm.edu.my/id/eprint/70717/ Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.] Abdul Rahman, Shuzlina Mutalib, Sofianita Salleh, Mohd Razali Abdul Karim, Hilman Physical education and training. Physical fitness Physical measurements. Physical tests, etc. Testing. Evaluation of performance The system itself does not succeed in helping Malaysians to build up a healthy lifestyle on their own using their gadgets. Some cater mainly in the area of physical fitness but ignore the vital food calories. While other current systems may not be suitable for Asians, mainly Malaysians, as the calculation differs quite significantly. Fortunately, in relating to the future demands of the intelligent applications, this project featured Expert System, Fuzzy Inference System and Case-Based reasoning to create well-developed mobile web environment that serve the needs of the future users. To address this matter, understanding about the relationship of calories and personal information of the user was obtained and studied which resulted in a great interactive intelligent system. The manual calculation which is the traditional way to calculate and manage calories intake is only dealt with by the experts such as, the doctor, the nutritionist and perhaps the gym instructor. Thus, almost 60% of Malaysians aged 18 and above fall in the overweight category of basal metabolic rate. The findings demonstrated that by having this kind of system and the mobility of it will make more users aware on managing balanced diet whilst having healthy lifestyle. Research Innovation Business Unit 2014 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/70717/1/70717.pdf Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]. (2014) In: IIDEX 2014: invention, innovation & design exposition. Research Innovation Business Unit, Shah Alam, Selangor, p. 90. http://www.iidex.com.my
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Physical education and training. Physical fitness
Physical measurements. Physical tests, etc.
Testing. Evaluation of performance
spellingShingle Physical education and training. Physical fitness
Physical measurements. Physical tests, etc.
Testing. Evaluation of performance
Abdul Rahman, Shuzlina
Mutalib, Sofianita
Salleh, Mohd Razali
Abdul Karim, Hilman
Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]
description The system itself does not succeed in helping Malaysians to build up a healthy lifestyle on their own using their gadgets. Some cater mainly in the area of physical fitness but ignore the vital food calories. While other current systems may not be suitable for Asians, mainly Malaysians, as the calculation differs quite significantly. Fortunately, in relating to the future demands of the intelligent applications, this project featured Expert System, Fuzzy Inference System and Case-Based reasoning to create well-developed mobile web environment that serve the needs of the future users. To address this matter, understanding about the relationship of calories and personal information of the user was obtained and studied which resulted in a great interactive intelligent system. The manual calculation which is the traditional way to calculate and manage calories intake is only dealt with by the experts such as, the doctor, the nutritionist and perhaps the gym instructor. Thus, almost 60% of Malaysians aged 18 and above fall in the overweight category of basal metabolic rate. The findings demonstrated that by having this kind of system and the mobility of it will make more users aware on managing balanced diet whilst having healthy lifestyle.
format Book Section
author Abdul Rahman, Shuzlina
Mutalib, Sofianita
Salleh, Mohd Razali
Abdul Karim, Hilman
author_facet Abdul Rahman, Shuzlina
Mutalib, Sofianita
Salleh, Mohd Razali
Abdul Karim, Hilman
author_sort Abdul Rahman, Shuzlina
title Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]
title_short Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]
title_full Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]
title_fullStr Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]
title_full_unstemmed Personalized Intelligent Fitness Calorie (IFITCAL) advisor / Ahmad Furqaan Hod … [et al.]
title_sort personalized intelligent fitness calorie (ifitcal) advisor / ahmad furqaan hod … [et al.]
publisher Research Innovation Business Unit
publishDate 2014
url https://ir.uitm.edu.my/id/eprint/70717/1/70717.pdf
https://ir.uitm.edu.my/id/eprint/70717/
http://www.iidex.com.my
_version_ 1761622311921778688
score 13.211869

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