Intelligent adaptive sleep system based on multi-sensor fusion and ai algorithms

The intelligent adaptive sleep system, which integrates multi-sensor fusion and AI algorithms, constructs a fully closed-loop management system. This solves the problem that existing systems cannot dynamically optimize and adjust, achieving high-precision sleep state monitoring and personalized control, thus improving the user experience.

CN122398231APending Publication Date: 2026-07-17ZHEJIANG MENGSHEN HOUSEHOLD CO LTD
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Patent Information

Application Number
CN202610486241.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing smart sleep systems cannot dynamically optimize their adjustment strategies based on individual user differences, long-term sleep habits, and physical conditions, resulting in reduced effectiveness.

Method used

By employing multi-sensor fusion and AI algorithms, a fully closed-loop sleep management system is constructed, including a multimodal sensing acquisition module, an edge-cloud collaborative processing module, an AI adaptive decision-making module, and a multi-actuator control module. Combined with a lightweight CNN-BiGRU sleep staging model and a reinforcement learning adaptive control model, personalized intervention strategies are realized.

Benefits of technology

It improves the accuracy of sleep state monitoring and the effectiveness of personalized adjustment, enhancing user comfort and the system's adaptability.

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Abstract

本发明涉及自适应睡眠系统的技术领域,特别是涉及基于多传感器融合与AI算法的智能自适应睡眠系统,包括多模态传感采集模块、边缘云端协同处理模块、AI自适应决策模块、多执行器调控模块、手动交互调节单元,各模块协同工作构建感知、分析、决策、执行、反馈的全闭环睡眠管理体系;多模态传感采集模块:用于多维度采集用户睡眠过程中的生理信号、身体行为数据及睡眠环境参数,为后续分析与决策提供原始数据支撑;其多传感器融合与硬件级同步设计,结合高精度AI睡眠分期模型,有效避免睡眠状态误判,为干预策略提供可靠数据支撑,强化学习模型可动态优化干预策略,手动调节与自动调控协同,弥补个体适配差异,提升用户使用舒适度。
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Citation Information

Patent Citations

  • Adaptive sleeping environment adjustment method and adaptive sleeping environment adjustment system

    CN106896733A