Full-stack sleep optimization method and system based on foot bottom and upper limb motion perception, medium

By combining smart insoles and wrist-worn sensors to collect multimodal data, perform time synchronization and dynamic calibration, and use machine learning models to predict changes in physiological indicators during the circadian rhythm and sleep cycle, the system solves the problems of insufficient quantification of physiological load and discontinuous data transfer in existing systems, and achieves high-precision sleep optimization and closed-loop regulation.

CN122097790APending Publication Date: 2026-05-29HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-21
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing sleep optimization systems lack the ability to capture the continuity and causal relationships of human physiological states. They rely on low-quality input data, resulting in insufficient accuracy in quantifying physiological load and an inability to achieve precise sleep recovery models. Furthermore, the discontinuous transition between daytime and nighttime data affects the predictive regulation effect of the system.

Method used

By combining smart insoles and wrist-worn sensors to collect multimodal data, time synchronization and dynamic calibration are performed. Machine learning models are used to predict changes in physiological indicators during the circadian rhythm and sleep cycle, generating personalized intervention suggestions and achieving closed-loop optimization.

Benefits of technology

It achieves high-precision physiological load input and closed-loop predictive regulation of the diurnal causal chain, improves the accuracy of sleep optimization and the logical continuity of the system, generates targeted and compensatory environmental intervention suggestions, and enhances sleep recovery.

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Abstract

The application provides a full-stack sleep optimization method and system based on foot bottom and upper limb motion perception, and a medium, solves the monitoring fracture problem caused by not wearing intelligent insoles at night, and the precision defects and day-night causal modeling fracture problems existing in the existing sleep health monitoring optimization scheme based on digital twinning, and realizes personalized and high-precision closed-loop sleep optimization. The application realizes continuous dynamic calibration of body mass parameters by using the FSR array of the intelligent insole, integrates dynamic body weight into the EE prediction model, and provides high-confidence steady-state process driving input for the DT model. The application establishes a day-night data handover protocol based on an offline timestamp, ensures seamless transmission of whole-body EE load scores, and maintains the logical continuity of the system; based on the MVPA intensity and timing of the insole quantization, the causal influence of motion on the core body temperature reduction efficiency and the wake-up time after falling asleep is accurately predicted, and compensatory and targeted environmental intervention suggestions are triggered, realizing real closed-loop optimization.
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Citation Information

Patent Citations

  • Fatigue monitoring and management system

    EP3054836A1

  • Systems and methods for optimization of sleep and post-sleep performance

    WO2010042615A3