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Application of Deep Learning for Infant Vomiting and Crying Detection

机译:深度学习在婴儿呕吐和哭泣检测中的应用

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Obstruction of the nose and mouth by vomit or quilts is the main cause of sudden infant death. Different baby sleeping postures will increase the difficulty of face detection. Therefore, a deep learning neural network is adopted to detect baby faces and a novel algorithm is proposed to detect vomiting of infants in this paper. The SSD + mobilenet network in Teansorflow is adopted. Experimental results show reasonable detection results of the proposed method.
机译:呕吐物或被子阻塞鼻子和嘴是婴儿猝死的主要原因。婴儿不同的睡眠姿势会增加面部识别的难度。因此,本文采用深度学习神经网络来检测婴儿的面部,并提出了一种新的算法来检测婴儿的呕吐。采用Teansorflow中的SSD + mobilenet网络。实验结果表明了该方法的合理检测结果。

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