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Application and research progress in flexible wearable intelligent materials for 24 h physical behavior monitoring
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Jia GUO1, Jiakai TANG1, Shaoqing HOU1, Dong ZHANG2, Chunmei CAO1
Journal of Materials Engineering | 2026, 54(6) : 13 - 24
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Journal of Materials Engineering | 2026, 54(6): 13-24
• INTELLIGENT MATERIALS FOR FLEXIBLE AND WEARABLE DEVICES COLUMN •
Application and research progress in flexible wearable intelligent materials for 24 h physical behavior monitoring
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Jia GUO1, Jiakai TANG1, Shaoqing HOU1, Dong ZHANG2, Chunmei CAO1
Affiliations
  • 1.Division of Sports Science and Physical Education,Tsinghua University,Beijing 100084,China
  • 2.Institute of Artificial Intelligence in Sports,Capital University of Physical Education and Sports,Beijing 100091,China
Published: 2026-06-20 doi: 10.11868/j.issn.1001-4381.2025.000686
Outline
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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.

wearable device  /  physical activity  /  sedentary behavior  /  sleep  /  health
郭佳, 唐嘉凯, 侯少卿, 张栋, 曹春梅. 面向24 h身体行为监测应用的柔性可穿戴智能材料应用研究进展. 材料工程, 2026 , 54 (6) : 13 -24 . DOI: 10.11868/j.issn.1001-4381.2025.000686
Jia GUO, Jiakai TANG, Shaoqing HOU, Dong ZHANG, Chunmei CAO. Application and research progress in flexible wearable intelligent materials for 24 h physical behavior monitoring[J]. Journal of Materials Engineering, 2026 , 54 (6) : 13 -24 . DOI: 10.11868/j.issn.1001-4381.2025.000686
Year 2026 volume 54 Issue 6
59
26
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Article Info
doi: 10.11868/j.issn.1001-4381.2025.000686
  • Receive Date:2025-11-26
  • Online Date:2026-10-27
  • Published:2026-06-20
Article Data
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History
  • Received:2025-11-26
  • Accepted:2026-01-28
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Affiliations
    1.Division of Sports Science and Physical Education,Tsinghua University,Beijing 100084,China
    2.Institute of Artificial Intelligence in Sports,Capital University of Physical Education and Sports,Beijing 100091,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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