Improvement of height estimation of low birth weight infants, newborns and infants image processing system using Kinect

Author

Noguchi, C. ; Katto, J. ; Ohyama, K.

Author_Institution

Dept. of Comput. Sci., Waseda Univ., Tokyo, Japan

fYear

2014

fDate

7-10 Oct. 2014

Firstpage

221

Lastpage

222

Abstract

Height data is very important not only as an indicator of growth in low birth weight infants, newborn, infants (infants below), but also for early detection of disease such as dwarfism. In this paper, we consider height estimation by image processing that targets lying infants for the purpose of reducing the burden of infants, doctors and parents. Furthermore, we compare results of using a single image and multiple images obtained by moving pictures, and show the latter contributes to improvement.

Keywords

biomedical equipment; biomedical optical imaging; diseases; feature extraction; medical disorders; medical image processing; paediatrics; parameter estimation; Kinect; doctor burden reduction; dwarfism detection; early disease detection; height data; infant burden reduction; infant growth indicator; infant height estimation improvement; infant image processing system; low birth weight infant; low birth weight newborn; lying infant; moving picture; multiple image processing; newborn image processing system; parent burden reduction; single image processing; Diseases; Educational institutions; Estimation; Extraterrestrial measurements; Image processing; Pediatrics; Health care; Image processing; Kinect;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (GCCE), 2014 IEEE 3rd Global Conference on

Conference_Location

Tokyo

Type

conf

DOI

10.1109/GCCE.2014.7031230

Filename

7031230