Intelligent snore-stopping pillow and control method thereof

By using surface and internal microphones to collect audio signals, calculate energy ratios, and identify the location of sound sources in the smart anti-snoring pillow, the problem of misjudging snoring from bed partners is solved, enabling precise adjustment of the main user's snoring and improving sleep quality.

CN122398528APending Publication Date: 2026-07-17SHENZHEN LANTISE TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN LANTISE TECH CO LTD
Filing Date
2026-05-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing smart anti-snoring pillows cannot accurately distinguish between the snoring of a bed partner and the snoring of the main user, leading to system misjudgment and triggering ineffective adjustments, thus disrupting sleep quality.

Method used

Audio signals are acquired using surface ambient microphones and internal noise-canceling cavity microphones. The audio signals are aligned by a signal synchronization acquisition module, respiratory acoustic features are extracted and energy ratios are calculated, and a joint acoustic feature tensor is generated using an acoustic feature extraction module. The sound source location is identified by combining the recognition model, and the decision-driven module precisely controls the mechanical shape adjustment mechanism.

Benefits of technology

It achieves accurate identification and mechanical adjustment of the main user's snoring, reducing interference with the partner and improving sleep quality.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122398528A_ABST
    Figure CN122398528A_ABST
Patent Text Reader

Abstract

本发明涉及智能睡眠辅助干预技术领域,尤其涉及一种智能止鼾枕及其控制方法,包括设备装置与控制装置,设备装置包括表面环境麦克风、内部降噪腔体麦克风及机械形态调节机构。控制装置同步采集第一、第二音频信号生成对齐音频流,提取呼吸声学特征,并计算两者的能量比值生成能量衰减比例矩阵;将其组合为联合声学特征张量,利用识别模型执行分类映射,输出带有声源位置标签的声音分析结果。当标签指示声源位于正上方时,驱动机械形态调节机构执行物理顶升调节动作。本发明有效解决了单一音频特征无法区分相邻用户鼾声而造成的系统误判问题。
Need to check novelty before this filing date? Find Prior Art