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面向24h身体行为监测应用的柔性可穿戴智能材料应用研究进展

郭佳 唐嘉凯 侯少卿 张栋 曹春梅

材料工程2026,Vol.54Issue(6):13-24,12.
材料工程2026,Vol.54Issue(6):13-24,12.DOI:10.11868/j.issn.1001-4381.2025.000686

面向24h身体行为监测应用的柔性可穿戴智能材料应用研究进展

Application and research progress in flexible wearable intelligent materials for 24 h physical behavior monitoring

郭佳 1唐嘉凯 1侯少卿 1张栋 2曹春梅1

作者信息

  • 1. 清华大学 体育部,北京 100084
  • 2. 首都体育学院 体育人工智能研究院,北京 100091
  • 折叠

摘要

Abstract

Modern lifestyles are associated with significant public health concerns,including sedentary behavior and sleep disorders.Flexible wearable intelligent materials,characterized by excellent biocompatibility and continuous signal acquisition capabilities,are becoming a pivotal technology for the precise 24 h monitoring of physical behaviors(e.g.,activity,sedentariness,and sleep).This review aims to dissect the current research landscape in this field,from theoretical foundations to engineering applications.It first explores the use of flexible electronic interfaces in physical activity monitoring,highlighting how material innovations have enabled the expansion from macroscopic biomechanical sensing to microscopic metabolite tracking.The role of these materials in identifying sedentary behaviors is then analyzed,focusing on high-sensitivity designs for capturing postural transitions and assessing physiological load.For sleep health,the discussion centers on unobtrusive material systems for long-term monitoring of respiratory and sleep rhythms.Furthermore,to support the extended operation of such wearable devices,this review synthesizes advanced self-powering and energy storage solutions,such as triboelectric nanogenerators,photovoltaics,and biofuel cells.Persistent challenges are identified,including the lack of standardized validation,limited battery life,and insufficient understanding of the complex correlations between behavior and physiology.Future progress is expected to depend on the convergence of material innovation,multimodal sensor fusion,optimized artificial intelligence algorithms,and large-scale clinical trials,ultimately contributing to a comprehensive smart health management ecosystem.

关键词

可穿戴设备/体力活动/久坐/睡眠/健康

Key words

wearable device/physical activity/sedentary behavior/sleep/health

分类

通用工业技术

引用本文复制引用

郭佳,唐嘉凯,侯少卿,张栋,曹春梅..面向24h身体行为监测应用的柔性可穿戴智能材料应用研究进展[J].材料工程,2026,54(6):13-24,12.

基金项目

国家重点研发计划"科技冬奥"重点专项(2020YFF0304605) (2020YFF0304605)

材料工程

1001-4381

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