Posture Recognition Using Ensemble Deep Models under Various Home Environments

Clicks: 180
ID: 116366
2020
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Abstract
This paper is concerned with posture recognition using ensemble convolutional neural networks (CNNs) in home environments. With the increasing number of elderly people living alone at home, posture recognition is very important for helping elderly people cope with sudden danger. Traditionally, to recognize posture, it was necessary to obtain the coordinates of the body points, depth, frame information of video, and so on. In conventional machine learning, there is a limitation in recognizing posture directly using only an image. However, with advancements in the latest deep learning, it is possible to achieve good performance in posture recognition using only an image. Thus, we performed experiments based on VGGNet, ResNet, DenseNet, InceptionResNet, and Xception as pre-trained CNNs using five types of preprocessing. On the basis of these deep learning methods, we finally present the ensemble deep model combined by majority and average methods. The experiments were performed by a posture database constructed at the Electronics and Telecommunications Research Institute (ETRI), Korea. This database consists of 51,000 images with 10 postures from 51 home environments. The experimental results reveal that the ensemble system by InceptionResNetV2s with five types of preprocessing shows good performance in comparison to other combination methods and the pre-trained CNN itself.
Reference Key
byeon2020appliedposture Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yeong-Hyeon Byeon;Jae-Yeon Lee;Do-Hyung Kim;Keun-Chang Kwak;Byeon, Yeong-Hyeon;Lee, Jae-Yeon;Kim, Do-Hyung;Kwak, Keun-Chang;
Journal applied sciences
Year 2020
DOI
10.3390/app10041287
URL
https://doi.org/10.3390/app10041287
Keywords
Convolutional neural network ensemble deep models posture recognition preconfigured cnns posture database home environments Convolutional neural network ensemble deep models posture recognition preconfigured cnns posture database home environments

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