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Enhancing triboelectrification with synergistic effect of x BNT-(1−x)BKT fillers and machine learning enabled advanced air mouse technology
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作者 monunith anithkumar Nirmal Prashanth Maria Joseph Raj +2 位作者 Asokan Poorani Sathya Prasanna Thanjan Shaji Bincy Sang-Jae Kim 《Journal of Materials Science & Technology》 2025年第28期105-114,共10页
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... 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_(0.5) Na_(0.5) TiO_(3)-(1−x)Bi_(0.5) K_(0.5) TiO_(3))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 1.49μA.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%. 展开更多
关键词 Triboelectric nanogenerator Dielectric materials Air mouse Machine learning
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