A High‐Precision Triboelectric Rotational Sensor for Enhanced Low‐Speed Monitoring via Magnetic Modulation in Smart Fitness Systems

ABSTRACT Real‐time detection of low‐speed motion and precise monitoring of low‐intensity exercise are crucial for smart fitness systems. These capabilities enable continuous data acquisition, capture subtle motion variations for personalized guidance, and enhance training effectiveness while reducing the risk of injury. However, conventional rotational speed sensors often exhibit signal loss and limited responsiveness at low speeds, leading to inaccurate feedback and constraining the development of intelligent fitness devices. Therefore, this paper proposes a triboelectric rotational speed sensor (TRSS), which employs a coaxial reverse magnetic modulation transmission mechanism to enhance low‐speed monitoring, thereby overcoming low‐speed signal loss. The sensor enables real‐time detection of rotational speed in fitness equipment, and features a compact structure, doubled resolution, and high detection accuracy of 0.21 rad s −1 . Performance test indicates a sensitivity of 3.15 Hz (rad s −1 ) −1 , a linear correlation coefficient of 0.99892, and an average error of 1.19% in simulated tests, which demonstrates the capability of the sensor for accurate motion monitoring at low speeds. Furthermore, a triboelectric magnetic‐modulated rotational monitoring system (TMRMS) is developed and validated through cycling experiments, demonstrating excellent performance across a wide speed range. These findings highlight the strong potential of the system for advancing next‐generation smart fitness applications.

Authors

Institutions

Publication Details

Journal
SmartSys
Published
2025-12-01
DOI
https://doi.org/10.1002/sys3.70011
Citations
4
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
2.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A High‐Precision Triboelectric Rotational Sensor for Enhanced Low‐Speed Monitoring via Magnetic Modulation in Smart Fitness Systems

Fengna Xi, Hong Xia, E. Uddin, Shaosong Li et al.
4 citations
SmartSys
Advanced Sensor and Energy Harvesting Materials
2.70
article

A High‐Precision Triboelectric Rotational Sensor for Enhanced Low‐Speed Monitoring via Magnetic Modulation in Smart Fitness Systems

Fengna Xi, Hong Xia, E. Uddin, Shaosong Li, M. Yamin Younis, Hengyu Li, Zhaojie Zhang, Yang Yu, Zheng Yang, Tinghai Cheng, Liang Zhu, Chaoyu Yang, Xiaosong Zhang
article en
4 citations

Abstract

ABSTRACT Real‐time detection of low‐speed motion and precise monitoring of low‐intensity exercise are crucial for smart fitness systems. These capabilities enable continuous data acquisition, capture subtle motion variations for personalized guidance, and enhance training effectiveness while reducing the risk of injury. However, conventional rotational speed sensors often exhibit signal loss and limited responsiveness at low speeds, leading to inaccurate feedback and constraining the development of intelligent fitness devices. Therefore, this paper proposes a triboelectric rotational speed sensor (TRSS), which employs a coaxial reverse magnetic modulation transmission mechanism to enhance low‐speed monitoring, thereby overcoming low‐speed signal loss. The sensor enables real‐time detection of rotational speed in fitness equipment, and features a compact structure, doubled resolution, and high detection accuracy of 0.21 rad s −1 . Performance test indicates a sensitivity of 3.15 Hz (rad s −1 ) −1 , a linear correlation coefficient of 0.99892, and an average error of 1.19% in simulated tests, which demonstrates the capability of the sensor for accurate motion monitoring at low speeds. Furthermore, a triboelectric magnetic‐modulated rotational monitoring system (TMRMS) is developed and validated through cycling experiments, demonstrating excellent performance across a wide speed range. These findings highlight the strong potential of the system for advancing next‐generation smart fitness applications.

SmartSysVol. 1(4)
Chinese University of Hong Kong (HK), Chinese Academy of Sciences (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), Changchun University of Technology (CN), Mirpur University of Science and Technology (PK), National University of Sciences and Technology (PK)
Jilin Province Development and Reform Commission, People's Government of Jilin Province, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 9%
Advanced Sensor and Energy Harvesting Materials
2.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.