Change of mechanical properties related to starch gelatinization and moisture content of rice kernel during fluidized bed drying

Conference proceedings article


Authors/Editors


Strategic Research Themes

No matching items found.


Publication Details

Author listWetchakama S., Prachayawarakorn S., Soponronnarit S.

PublisherHindawi

Publication year2019

Volume number37

Issue number9

Start page1173

End page1183

Number of pages11

ISBN9781728132716

ISSN0146-9428

eISSN1745-4557

URLhttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85071472365&doi=10.1109%2fITC-CSCC.2019.8793440&partnerID=40&md5=dc28d68be5438c81bda7977f98cc44d9

LanguagesEnglish-Great Britain (EN-GB)


View in Web of Science | View on publisher site | View citing articles in Web of Science


Abstract

The number of elderly people is increasing but the regenerative ability of those people is decreasing every day. Falls and the consequences of falls impact highly on their health. The fall detection systems are developed for years. This paper proposes the improvement in the fall detection system by the voting strategy. The three Kinect cameras provide the depth image to the fall detection systems. Each system performs (1) Frame Smoothing by Median Filtering, (2) Background Subtraction by Mixture of Gaussian Model and Binary Thresholding, and (3) Event Recognition to predict the fall or non-fall events by Convolutional Neural Network. The voting strategy results in the majority event from the three detections. The results show that the voting strategy increases the accuracy, precision, and fall detection rate to 96.48%, 90.20%, and 96.65% respectively. ฉ 2019 IEEE.


Keywords

Fall detection systemVoting Strategy


Last updated on 2023-29-09 at 07:36