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基于ResNet的睡姿识别分析

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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.
Analysis of Sleep Position Recognition Based on ResNet
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.

intelligent technology applicationResNetdeep residual networksleeping posture recognition

周逸鹏、刘谱辉、骆洁幸、周国平

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南京林业大学,江苏 210037

智能技术应用 ResNet 深度残差网络 睡姿识别

2024

集成电路应用
上海贝岭股份有限公司

集成电路应用

影响因子:0.132
ISSN:1674-2583
年,卷(期):2024.41(6)