基于ResNet的睡姿识别分析
Analysis of Sleep Position Recognition Based on ResNet
周逸鹏 1刘谱辉 1骆洁幸 1周国平1
作者信息
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.
Abstract
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Key words
intelligent technology application/ResNet/deep residual network/sleeping posture recognition引用本文复制引用
出版年
2024
NETL
NSTL
万方数据