Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence DOI Creative Commons

Yi‐Feng Su,

D.L. Yin,

Xinmao Zhao

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(8), P. 2520 - 2520

Published: April 17, 2025

The integration of Deep Learning with sensor technologies has significantly advanced the field intelligent sensing and decision making by enhancing perceptual capabilities delivering sophisticated data analysis processing functionalities. This review provides a comprehensive overview synergy between sensors, particular focus on applications triboelectric nanogenerator (TENG)-based self-powered sensors combined artificial intelligence (AI) algorithms. First, evolution is reviewed, highlighting advantages, limitations, application domains several classical models. Next, innovative in autonomous driving, wearable devices, Industrial Internet Things (IIoT) are discussed, emphasizing critical role neural networks precision capabilities. then delves into TENG-based introducing their mechanisms based contact electrification electrostatic induction, material selection strategies, novel structural designs, efficient energy conversion methods. algorithms showcased through groundbreaking motion recognition, smart healthcare, homes, human–machine interaction. Finally, future research directions outlined, including multimodal fusion, edge computing integration, brain-inspired neuromorphic computing, to expand robotics, space exploration, other high-tech fields. offers theoretical technical insights collaborative innovation technologies, paving way for development next-generation systems.

Language: Английский

Great Carbon Nano Materials based Composites for Electronic Skin: Intelligent Sensing, and Self-Powered Nano Generators DOI
Vineet Kumar, Nargish Parvin, Sang Woo Joo

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110805 - 110805

Published: Feb. 1, 2025

Language: Английский

Citations

2
Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence DOI Creative Commons

Yi‐Feng Su,

D.L. Yin,

Xinmao Zhao

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(8), P. 2520 - 2520

Published: April 17, 2025

The integration of Deep Learning with sensor technologies has significantly advanced the field intelligent sensing and decision making by enhancing perceptual capabilities delivering sophisticated data analysis processing functionalities. This review provides a comprehensive overview synergy between sensors, particular focus on applications triboelectric nanogenerator (TENG)-based self-powered sensors combined artificial intelligence (AI) algorithms. First, evolution is reviewed, highlighting advantages, limitations, application domains several classical models. Next, innovative in autonomous driving, wearable devices, Industrial Internet Things (IIoT) are discussed, emphasizing critical role neural networks precision capabilities. then delves into TENG-based introducing their mechanisms based contact electrification electrostatic induction, material selection strategies, novel structural designs, efficient energy conversion methods. algorithms showcased through groundbreaking motion recognition, smart healthcare, homes, human–machine interaction. Finally, future research directions outlined, including multimodal fusion, edge computing integration, brain-inspired neuromorphic computing, to expand robotics, space exploration, other high-tech fields. offers theoretical technical insights collaborative innovation technologies, paving way for development next-generation systems.

Language: Английский

Citations

0