基于ResNet的睡姿识别分析  

Analysis of Sleep Position Recognition Based on ResNet

作　　者：周逸鹏 刘谱辉 骆洁幸 周国平[1] ZHOU Yipeng;LIU Puhui;LUO Jiexing;ZHOU Guoping(Nanjing Forestry University,Jiangsu 210037,China)

机构地区：[1]南京林业大学,江苏210037

出　　处：《集成电路应用》2024年第6期236-237,共2页Application of IC

摘　　要：阐述为使智能床垫具有高准确率的睡姿识别功能,设计一种气压传感器结合空气弹簧床垫的睡姿检测系统。使用空气弹簧气压相对变化率作为用户睡姿数据集,提出一种ResNet18睡姿识别模型。This paper expounds the design of a sleeping posture detection system that combines a pressure sensor with an air spring mattress to enable intelligent mattresses to have high accuracy in sleeping posture recognition.It uses the relative change rate of air spring pressure as the user sleeping posture dataset and proposes a ResNet18 sleeping posture recognition model.

关 键 词：智能技术应用 ResNet 深度残差网络 睡姿识别 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]