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REVIEW article

Front. Public Health

Sec. Aging and Public Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1659600

This article is part of the Research TopicAssistive Technologies in Aging and DisabilityView all 10 articles

Sensor for Sports Applications: Monitoring and Assessment of Intrinsic Capacity Enhancement in Older Adults During Brisk Walking

Provisionally accepted
Fangyuan  JuFangyuan Ju1*Xu  HanXu Han1Mengyun  ZhaoMengyun Zhao1Shuo  WangShuo Wang2
  • 1Yangzhou University, Yangzhou, China
  • 2Gansu University of Political Science and Law, Lanzhou, China

The final, formatted version of the article will be published soon.

Background: As population aging accelerates, the development of precise health monitoring technologies for older adults is crucial for mitigating functional decline and chronic disease risks.The"Intrinsic Capacity (IC)"framework, proposed by the World Health Organization(WHO), defines five core dimensions of older adults' functional ability: locomotion, vitality, cognition, psychological and sensory . Wearable motion sensors provide a novel approach for early detection and continuous monitoring of these dimensions.Methods:This study conducts a systematic literature review of empirical research in 20 years (from 2005 to 2025), focusing on how motion sensors capture IC-related changes during brisk walking in older adults. A total of 23 studies were included after screening. Results:Key findings reveal that adults aged 60-74 demonstrate the highest levels of technology acceptance and compliance, whereas individuals over 80 years old favor simpler, more user-friendly devices. Triaxial accelerometers, pressure sensors, photoplethysmography (PPG), and electrodermal activity (EDA) sensors are used to monitor gait rhythm, stability, heart rate regulation, and emotional stress, respectively.Conclusions:The results indicate that motion sensor technologies offer comprehensive coverage across all five IC dimensions and hold strong potential for continuous assessment, anomaly detection, and personalized intervention. Future research should prioritize multimodal sensor integration and algorithm optimization to enhance real-world applications in health management and remote monitoring for aging populations.

Keywords: Sensors, Microchips, wisdom sports, Wearable Technology, Elderly fitness

Received: 04 Jul 2025; Accepted: 18 Aug 2025.

Copyright: © 2025 Ju, Han, Zhao and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Fangyuan Ju, Yangzhou University, Yangzhou, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.