Enhancing triboelectrification with synergistic effect of xBNT-(1-x)BKT fillers and machine learning enabled advanced air mouse technology

doi:10.1016/j.jmst.2025.01.021

J. Mater. Sci. Technol. ›› 2025, Vol. 231: 105-114.DOI: 10.1016/j.jmst.2025.01.021

• Research article • Previous Articles Next Articles

Enhancing triboelectrification with synergistic effect of xBNT-(1-x)BKT fillers and machine learning enabled advanced air mouse technology

Monunith Anithkumar^a, Nirmal Prashanth Maria Joseph Raj^a,b, Asokan Poorani Sathya Prasanna^a, Thanjan Shaji Bincy^a, Sang-Jae Kim^a,c,d,e,*

^aNanomaterials & System Laboratory, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju 63243, Republic of Korea;
^bEnergy Harvesting Research Group, School of Physics and Astronomy, SUPA, University of St Andrews, North Haugh, St Andrews KY16 9SS, United Kingdom;
^cNanomaterials & System Lab, Major of Mechanical System Engineering, College of Engineering, Jeju National University, Jeju 63243, Republic of Korea;
^dGreen Hydrogen Glocal Leading Research Center (gH2-RC), Jeju National University, Jeju 63243, Republic of Korea;
^eResearch Institute of New Energy Industry (RINEI), Jeju National University, Jeju 63243, Republic of Korea

Received:2024-11-18 Revised:2025-01-08 Accepted:2025-01-19 Published:2025-10-01 Online:2025-02-26
Contact: *E-mail address: kimsangj@jejunu.ac.kr (S.-J. Kim).

Abstract

Abstract: Air mouse has a wide range of uses in robotics, automation, and VR/AR technologies. In this work, the air mouse is prepared using triboelectric sensors, controller units, and machine learning. The triboelectric nanogenerator (TENG) performance was optimized by altering the filler's properties. A dual-ferroelectric crystal system BNKT (xBi_0.5Na_0.5TiO₃-(1 - x) Bi_0.5K_0.5TiO₃) was prepared with different concentrations (x = 0.5, 0.6, 0.7, 0.8, and 0.9) to alter the dielectric property. The BNKT-8-based TENG showed a higher performance of 134.04 V and 1.49 µA. The prepared device enables to power the small electronic devices such as hygrometers and calculators. Using this TENG device air mouse system with machine learning allows the user to control the mouse pointer in the computer using the smart glove with a high accuracy of 100 %.

Key words: Triboelectric nanogenerator, Dielectric materials, Air mouse, Machine learning

Monunith Anithkumar, Nirmal Prashanth Maria Joseph Raj, Asokan Poorani Sathya Prasanna, Thanjan Shaji Bincy, Sang-Jae Kim. Enhancing triboelectrification with synergistic effect of xBNT-(1-x)BKT fillers and machine learning enabled advanced air mouse technology[J]. J. Mater. Sci. Technol., 2025, 231: 105-114.

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Enhancing triboelectrification with synergistic effect of xBNT-(1-x)BKT fillers and machine learning enabled advanced air mouse technology

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