At present,the recognition technology of old people's falling down is immature,and the recognition effect is rela-tively poor.This paper proposes an elderly falling down recognition and detection system based on the enhanced YOLOv5 tar-get detection algorithm.It has been proven by experiments that this design has improved the algorithm recognition accuracy,reduced the frequency of missed inspection,and made the modified design has a better identification and inspection function.
关键词
深度学习/老人摔倒检测/YOLOv5/K-means/卷积神经网络
Key words
deep learning/the elderly falling down detection analysis/YOLOv5/K-means/convolutional neural network
维普
万方数据