DocumentCode :
256952
Title :
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
Link To Document :
بازگشت