Intelligent sleep environment adaptation method and system based on user personal parameters

By acquiring users' personal parameters and real-time monitoring data, and using pressure calculations and joint angle models to adjust the mattress height, the problem of traditional mattresses being unable to adapt to individual needs is solved. This achieves personalized comfort and energy consumption optimization for smart mattresses, thereby improving users' sleep quality.

CN121808983APending Publication Date: 2026-04-07CHINA STATE SHIPBUILDING CORP LTD RESEARCH INSTITUTE 719
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Patent Information

Application Number
CN202512027706.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2025-03-11
Filing Date
2025-12-30
Publication Date
2026-04-07

AI Technical Summary

Technical Problem

Traditional mattress designs cannot be adjusted to meet individual user needs, resulting in significant differences in comfort levels for users of different ages and during different activities. Furthermore, existing smart mattresses lack personalized adaptability and suffer from high energy consumption.

Method used

By acquiring users' personal parameters and real-time monitoring data, the system calculates the desired pressure value and joint angle using pressure calculation models and joint angle models. It then adjusts the mattress height using a particle swarm optimization algorithm and combines acceleration to determine the user's movement status, thereby achieving a personalized comfort experience and energy consumption optimization.

Benefits of technology

It provides real-time adjustments based on user age, group type, and exercise status, improving sleep quality and comfort, reducing energy consumption, and meeting various user needs.

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Abstract

The invention discloses an intelligent sleep environment adaptation method and system based on personal parameters of a user. The method comprises the steps that the personal parameters of the user and real-time monitoring data are acquired; substituting the acquired personal parameters of the user and the real-time monitoring data into a pressure calculation model to calculate an expected pressure value of each sampling contact point; substituting the acquired personal parameters of the user and the real-time monitoring data into a joint angle model to calculate an expected joint angle; substituting the calculated expected pressure value and the expected joint angle into an optimization function for optimization so as to obtain an optimal adaptive parameter; and adjusting the height of the mattress based on the optimal adaptive parameters. The method has the advantages of personalized optimization, customized design, real-time feedback and adjustment, energy consumption reduction, user friendliness and high adaptability.
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