Progress and applications of nanotechnology-based wearable sensors in human motion and posture detection
- School of Physical Education and Health, Wenzhou University, Wenzhou, Zhejiang, China
- Institute of Physical Education, Hubei University of Science and Technology, Xianning, Hubei, China
Received: 08-01-2025
Revised: 30-01-2025
Accepted: 26-02-2025
Published in Issue 28-02-2025
Copyright (c) 2025 Hezhou Li, Dan Wang (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
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Abstract
The advancement of nanotechnology has revolutionized the development of wearable sensors, offering enhanced sensitivity, flexibility, and real-time performance in human motion and posture detection. This review explores the integration of advanced nanomaterials, including graphene, carbon nanotubes, and metal nanowires, which facilitate the creation of highly conformal and biocompatible sensors. Recent progress in self-powered sensing technologies, such as triboelectric and piezoelectric nanogenerators, has enabled continuous monitoring without the need for external power sources. Moreover, innovations in fabrication techniques, including 3D printing, inkjet deposition, and laser scribing, have improved the scalability and cost-effectiveness of wearable sensor production. The convergence of multimodal sensing approaches-combining inertial sensors, electromyography (EMG), and brain-computer interfaces (BCI)-with artificial intelligence (AI)-based algorithms has further enhanced motion recognition accuracy and adaptive system responses. This review highlights the broad spectrum of applications, ranging from healthcare and rehabilitation to
sports performance and industrial safety, while discussing current challenges related to sensor durability, environmental interference, and data processing. Future advancements in material science, sensor fusion, and energy harvesting hold immense potential for developing next-generation wearable sensors capable of seamlessly integrating into everyday life.
Keywords
- Energy harvesting,
- Artificial intelligence,
- Fabrication techniques,
- Sensor fusion,
- Motion recognition
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