Intelligent Control Method for Nursing Beds Based on Feature Pyramid Network and Raspberry Pi
In order to solve the problems of low efficiency and complex operation in traditional nursing beds,this paper studies gesture detection through feature pyramids,and introduces channel attention and Transformer attention to optimize the feature pyra-mids.Based on Raspberry Pi,a nursing bed control system is designed,and then the optimized feature pyramids are applied in the system,thus designing a nursing bed intelligent control system combining feature pyramid network and Raspberry Pi.The results show that the accuracy of the improved model on the COCO dataset can reach 95％.In the angle testing error,the minimum error rate of the improved model is 1.17％,which proves its high accuracy.In terms of recognition rate and average testing time,the highest recognition rate of the improved model in different instructions can reach 98.7％,with an average testing time of 0.18 s,which proves its effectiveness and accuracy.Intelligent nursing beds based on this control method can effectively improve the nursing quality and comfort of the elderly,providing a new direction for the further development of intelligent nursing beds.
万方数据
维普
