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- W3049622012 abstract "Physically we can see that there is a difference between obese and non-obese people, it’s seen from a fatter body posture. Then we can categorize the person into obese or not by calculating the Body Mass Index (BMI). But this still must be done manually because we have to check weight and height first, then calculated BMI according to the BMI formula. Therefore we need a system that can be used to detect obesity automatically. In this study, we created a system that can detect obesity automatically based on foot plantar pressure. On foot plantar pressure there is a significant change between foot pressure in obese and non-obese people. In obese people the pressure will be further increased in the metatarsal foot, heel, and midfoot. This is because the heel is part of the foot which is the main support of the body and in the midfoot there are different levels of leg curvature between obese and non-obese people. The system is built using Fuzzy Inference System based on Fuzzy Logic Concept. So, the system can provide an automatic output whether the person is categorized as thin, normal, or obese." @default.
- W3049622012 created "2020-08-21" @default.
- W3049622012 creator A5036801987 @default.
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- W3049622012 creator A5085027471 @default.
- W3049622012 date "2020-06-01" @default.
- W3049622012 modified "2023-10-16" @default.
- W3049622012 title "Foot Plantar Pressure to Detect Obesity" @default.
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- W3049622012 doi "https://doi.org/10.1109/icoict49345.2020.9166372" @default.
- W3049622012 hasPublicationYear "2020" @default.
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