深度学习在婴儿呕吐哭闹检测中的应用

Chuan-Yu Chang, Fu Ren Chen
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引用次数: 2

摘要

呕吐物或被子阻塞口鼻是婴儿猝死的主要原因。不同的宝宝睡姿会增加人脸检测的难度。因此,本文采用深度学习神经网络对婴儿面部进行检测,并提出了一种新的婴儿呕吐检测算法。采用Teansorflow中的SSD + mobilenet组网。实验结果表明,该方法检测结果合理。
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Application of Deep Learning for Infant Vomiting and Crying Detection
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.
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