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AIoT-enhanced health management system using soft and stretchable triboelectric sensors for human behavior monitoring
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  • Liang Xu,
  • Songyi Zhong,
  • Tao Yue,
  • Zixuan Zhang,
  • Xiao Lu,
  • Yangqiao Lin,
  • Long Li,
  • Yingzhong Tian,
  • Tao Jin,
  • Quan Zhang,
  • Chengkuo Lee
Liang Xu
Shanghai University
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Songyi Zhong
Shanghai University
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Tao Yue
Shanghai University
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Zixuan Zhang
National University of Singapore
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Xiao Lu
Shanghai University
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Yangqiao Lin
Shanghai University
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Long Li
Shanghai University
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Yingzhong Tian
Shanghai University
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Tao Jin
Shanghai University School of Mechatronic Engineering and Automation
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Quan Zhang
Shanghai University School of Mechatronic Engineering and Automation
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Chengkuo Lee
National University of Singapore

Corresponding Author:[email protected]

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Abstract

Sedentary, inadequate sleep and exercise can affect human health. Artificial intelligence (AI) and Internet of thing (IoT) creates the Artificial Intelligence of Things (AIoT), providing the possibility to solve these problems. This paper presents a novel approach to monitor various human behaviors for AIoT-based health management using triboelectric nanogenerator (TENG) sensors. The insole with solely one TENG sensor, creating a most simplified system that utilizes machine learning (ML) for personalized motion monitoring, encompassing identity recognition and gait classification. A cushion with 12 TENG sensors achieves real-time identity and sitting posture recognition with accuracy rates of 98.86% and 98.40%, respectively, effectively correcting sedentary behavior. Similarly, a smart pillow, equipped with 15 sensory channels, detects head movements during sleep, identifying 8 sleep patterns with 96.25% accuracy. Ultimately, constructing an AIoT-based health management system to analyzes these data, displaying health status through human-machine interfaces, offering the potential to help individuals maintain good health.
Submitted to EcoMat
15 Feb 2024Review(s) Completed, Editorial Evaluation Pending
15 Feb 2024Editorial Decision: Revise Minor
19 Feb 20241st Revision Received
20 Feb 2024Submission Checks Completed
20 Feb 2024Assigned to Editor
20 Feb 2024Review(s) Completed, Editorial Evaluation Pending
20 Feb 2024Reviewer(s) Assigned
28 Mar 2024Editorial Decision: Accept