Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

Gulpinar Bolukbas; Emrah Basaran; Mustafa Ersel Kamasak

doi:10.1109/SIU.2019.8806503

Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

Translated title of the contribution: BMI prediction from face images

Gulpinar Bolukbas, Emrah Basaran, Mustafa Ersel Kamasak

Department of Computer Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.

Translated title of the contribution	BMI prediction from face images
Original language	Turkish
Title of host publication	27th Signal Processing and Communications Applications Conference, SIU 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728119045
DOIs	https://doi.org/10.1109/SIU.2019.8806503
Publication status	Published - Apr 2019
Event	27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey Duration: 24 Apr 2019 → 26 Apr 2019

Publication series

Name	27th Signal Processing and Communications Applications Conference, SIU 2019

Conference

Conference	27th Signal Processing and Communications Applications Conference, SIU 2019
Country/Territory	Turkey
City	Sivas
Period	24/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Access to Document

10.1109/SIU.2019.8806503

Cite this

Bolukbas, G., Basaran, E., & Kamasak, M. E. (2019). Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini. In 27th Signal Processing and Communications Applications Conference, SIU 2019 Article 8806503 (27th Signal Processing and Communications Applications Conference, SIU 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2019.8806503

@inproceedings{2587bedc7834499cbf6a4fb110ef89c9,

title = "Y{\"u}z G{\"o}r{\"u}nt{\"u}lerinden V{\"u}cut Kitle Indeksi Tahmini",

abstract = "Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.",

keywords = "Face, Face Recognition, Facial Features, Feature Extraction, Transfer Learning",

author = "Gulpinar Bolukbas and Emrah Basaran and Kamasak, {Mustafa Ersel}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 27th Signal Processing and Communications Applications Conference, SIU 2019 ; Conference date: 24-04-2019 Through 26-04-2019",

year = "2019",

month = apr,

doi = "10.1109/SIU.2019.8806503",

language = "T{\"u}rk{\c c}e",

series = "27th Signal Processing and Communications Applications Conference, SIU 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "27th Signal Processing and Communications Applications Conference, SIU 2019",

address = "United States",

}

Bolukbas, G, Basaran, E & Kamasak, ME 2019, Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806503, 27th Signal Processing and Communications Applications Conference, SIU 2019, Institute of Electrical and Electronics Engineers Inc., 27th Signal Processing and Communications Applications Conference, SIU 2019, Sivas, Turkey, 24/04/19. https://doi.org/10.1109/SIU.2019.8806503

Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini. / Bolukbas, Gulpinar; Basaran, Emrah; Kamasak, Mustafa Ersel.
27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806503 (27th Signal Processing and Communications Applications Conference, SIU 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

AU - Bolukbas, Gulpinar

AU - Basaran, Emrah

AU - Kamasak, Mustafa Ersel

PY - 2019/4

Y1 - 2019/4

N2 - Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.

AB - Body-mass index (BMI) is the amount of mass per area of a person, and it is an important indicator of the weight status. From health industry till the social media applications, there are many areas where BMI data is used. Various machine learning techniques are developed for BMI prediction only from a face image without any information about the weight and height of a person.Making this kind of predictions is a regression problem. In this study, a deep network based BMI predictor tool is designed and its performance is compared with the existing methods from previous studies. Additionally, a new data set for validation purposes is introduced.

KW - Face

KW - Face Recognition

KW - Facial Features

KW - Feature Extraction

KW - Transfer Learning

UR - http://www.scopus.com/inward/record.url?scp=85071981300&partnerID=8YFLogxK

U2 - 10.1109/SIU.2019.8806503

DO - 10.1109/SIU.2019.8806503

M3 - Konferans katkısı

AN - SCOPUS:85071981300

T3 - 27th Signal Processing and Communications Applications Conference, SIU 2019

BT - 27th Signal Processing and Communications Applications Conference, SIU 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 27th Signal Processing and Communications Applications Conference, SIU 2019

Y2 - 24 April 2019 through 26 April 2019

ER -

Yüz Görüntülerinden Vücut Kitle Indeksi Tahmini

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Bibliographical note

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