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Title: :  Body weight and age analysis from human body images
PaperId: :  20689
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20689
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shubham vikhePravara rural engineering college loni
Adarsh kaduPravara rural engineering college loni
Pranaali dighePravara rural engineering college loni
Pritam gandulePravara rural engineering college loni

Abstract

Computer engineering
Machine learning ., python, LR algorithm , CNN
Human body images encode plenty of useful biometric information, such as pupil color, gender, weight, etc. Among this information, body weight is a good indicator of health conditions. Motivated by the recent health science studies, this work investigates the feasibility of analyzing body weight from 2-dimensional (2D) frontal view human body images. The widely used body mass index (BMI) is employed as a measure of body weight. To investigate the problems at different levels of difficulties, three feasibility problems, from easy to hard, are studied. More specifically, a framework is developed for analyzing body weight from human body images. Computation of five anthropometric features is proposed for body weight characterization. Correlation is analyzed between the extracted anthropometric features and the BMI values, which validates the usability of the selected features. A visual-body-to-BMI dataset is collected and cleaned to facilitate the study, which contains 5900 images of 2950 subjects along with the labels corresponding gender, height, and weight. Some interesting results are obtained, demonstrating the feasibility of analyzing body weight from 2D body images. In addition, the proposed method outperforms two state-of-art facial images based weight analysis approaches in most cases. Index Terms—Body weight analysis, visual analysis of Body mass index (BMI), anthropometric features, visual-body-to-BMI dataset

Citations

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IJARIIE Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule. "Body weight and age analysis from human body images" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 3525-3531
MLA Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule. "Body weight and age analysis from human body images." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 3525-3531.
APA Shubham vikhe, Adarsh kadu, Pranaali dighe, & Pritam gandule. (2023). Body weight and age analysis from human body images. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 3525-3531.
Chicago Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule. "Body weight and age analysis from human body images." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 3525-3531.
Oxford Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule. 'Body weight and age analysis from human body images', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 3525-3531. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Body_weight_and_age_analysis_from_human_body_images_ijariie20689.pdf (Accessed : 21 December 2024).
Harvard Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule. (2023) 'Body weight and age analysis from human body images', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 3525-3531IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Body_weight_and_age_analysis_from_human_body_images_ijariie20689.pdf (Accessed : 21 December 2024)
IEEE Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule, "Body weight and age analysis from human body images," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 3525-3531, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Body_weight_and_age_analysis_from_human_body_images_ijariie20689.pdf [Accessed : 21 December 2024].
Turabian Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule. "Body weight and age analysis from human body images." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (21 December 2024).
Vancouver Shubham vikhe, Adarsh kadu, Pranaali dighe, and Pritam gandule. Body weight and age analysis from human body images. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 21 December 2024]; 9(3) : 3525-3531. Available from: https://ijariie.com/AdminUploadPdf/Body_weight_and_age_analysis_from_human_body_images_ijariie20689.pdf
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