Change of mechanical properties related to starch gelatinization and moisture content of rice kernel during fluidized bed drying
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Publication Details
Author list: Wetchakama S., Prachayawarakorn S., Soponronnarit S.
Publisher: Hindawi
Publication year: 2019
Volume number: 37
Issue number: 9
Start page: 1173
End page: 1183
Number of pages: 11
ISBN: 9781728132716
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
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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 system, Voting Strategy