id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-12274	Song, Zhengyun	Fall Detection Method Based on Convolutional Neural Network	2023	3	.pdf	application/pdf	2576	104	45	The results show the advantages of this method in fall detection and recognition, which can better meet the needs of medical monitoring, and also provide a reliable algorithm basis for human fall detection and alarm system. This paper mainly carried out a fall detection method based on convolutional neural networks, aiming to improve the accuracy of human fall detection through the natural advantages of convolutional neural networks in image recognition, and provide better solutions for medical monitoring and elderly care.	cache/ajst-12274.pdf	txt/ajst-12274.txt