ItemConference Paper

Statistical Forecasting of Fat in Body Proportion Utilizing Nonlinear Anthropological Parameters and Density Evaluation

Title
Statistical Forecasting of Fat in Body Proportion Utilizing Nonlinear Anthropological Parameters and Density Evaluation
Creator
Dinesh, G.; Vigneshwaran, T.; Velammal, B.L.; Sweetline, S.; Sasthi Kumar, C.; Brinda, V.
Description
Body Fat Percentage (BFP) is an accurate body fat assessment, plays vital role in order to evaluate an individual's health status and disease risk. Traditional BFP assessments, such as dual-energy X-ray absorptiometry (DXA) and hydrostatic weighing are high in accuracy which is compromised by their cost and complexity. This research work focuses on creating a predictive BFP model using anthropometric techniques. For formulating and validating the proposed model, a benchmark dataset is used consisting of 252 samples having measures of weight, height, waist circumference (WC), hip circumference (HC), skinfold thicknesses along with air displacement plethysmography (ADP) based density estimates. For feature engineering, the most important values are selected such as body mass index, hip ratio etc., as well as logarithmic values and then the best artificial neural network model is trained. The proposed model is developed using quadratic polynomial terms with a literature-based space-cost function (r > 0.98), provided the best model with a Mean Absolute Error (MAE) of 1.5% and coefficient of determination R = 0.92 outperforming conventional works. 2025 IEEE.
Source
Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Artificial Neural Network; Body Fat Percentage; Data Preprocessing; Deep Learning; Feature Selection; X-ray absorptiometry
Coverage
Dinesh G., School of Computing SRM Institute of Science and Technology, Kattankulathur, Department of Computational Intelligence, Tamilnadu, Chennai, India; Vigneshwaran T., Christ (Deemed to be University), School of Engineering and Technology, Department of CSE, Bangalore, India; Velammal B.L., College of Engineering Guindy Anna University, Department of CSE, Tamilnadu, Chennai, India; Sweetline S., Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Department of English, Tamilnadu, Chennai, India; Sasthi Kumar C., Karpagam Academy of Higher Education, Department of Computer Science and Engineering, Tamilnadu, Coimbatore, India; Brinda V., K. Ramakrishnan College of Engineering, Dept. of ECE, Tamil Nadu, Tiruchirappalli, 621112, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833152118-9;
Format
online
Language
English
Type
Conference paper

Citation

Dinesh, G.; Vigneshwaran, T.; Velammal, B.L.; Sweetline, S.; Sasthi Kumar, C.; Brinda, V., “Statistical Forecasting of Fat in Body Proportion Utilizing Nonlinear Anthropological Parameters and Density Evaluation,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/26161.

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