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

IF 11.2 1区材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY

Journal of Materials Science & Technology Pub Date : 2025-02-26 DOI:10.1016/j.jmst.2025.01.021

Monunith Anithkumar, Nirmal Prashanth Maria Joseph Raj, Asokan Poorani Sathya Prasanna, Thanjan Shaji Bincy, Sang-Jae Kim

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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%.

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来源期刊

Journal of Materials Science & Technology 工程技术-材料科学：综合

CiteScore

20.00

自引率

11.00%

发文量

995

审稿时长

13 days

期刊介绍： Journal of Materials Science & Technology strives to promote global collaboration in the field of materials science and technology. It primarily publishes original research papers, invited review articles, letters, research notes, and summaries of scientific achievements. The journal covers a wide range of materials science and technology topics, including metallic materials, inorganic nonmetallic materials, and composite materials.