Research on Intelligent elderly care system based on Neural Network
Yue Geng, Chenlu Jia, Shuo Sun · 2022 International Conference on Big Data, Information and Computer Network (BDICN) · 2022
The Internet plus nursing home has formed a new type of "virtual nursing home". At the same time, there are many problems in this mode. For example, it is necessary to provide timely help for the elderly, such as physical discomfort and accidents. To solve these problems, a more intelligent service system is needed to create a better environment for the elderly. Based on artificial intelligence technology, this paper analyzes the problems existing in the traditional human posture recognition algorithm. The traditional algorithm processes the set blur in the image and the results appear in many cases. Based on the neural network, the original VGG-19 module is optimized and replaced by the latest depth level separable convolution network MobileNetv3. Part of the original networks are combined to increase hole convolution, expand receptive field and reduce parameters so that the network is lighter under the condition of ensuring accuracy and speed. The research content of this paper can promote the rapid development of artificial intelligence. Further research can improve the humanization of artificial intelligence and fully achieve artificial intelligence.