Machine Learning‐Enhanced Triboelectric Sensing Application DOI

Ruzhi Shang,

Huamin Chen,

Xu Cai

et al.

Advanced Materials Technologies, Journal Year: 2024, Volume and Issue: 9(7)

Published: Feb. 6, 2024

Abstract Triboelectric nanogenerator (TENG) has become a promising candidate for wearable energy harvesting and self‐powered sensing systems. However, processing large amounts of data imposes computing power barrier practical application. Machine learning‐assisted sensors based on TENG have been widely used in data‐driven applications due to their excellent characteristics such as no additional supply, high accuracy, low cost, good biocompatibility. This work comprehensively reviews the latest progress machine learning (ML)‐assisted TENG‐based sensors. The future challenges opportunities are discussed. First, fundamental principles including working mode ML‐assisted sensor common algorithms systematically illustrated, which emphasizes algorithm definition principle. Subsequently, ML methods field is further reviewed, summarizing advantages disadvantages various examples, providing guidance suggestions how choose appropriate methods. Finally, prospects summarized. Directions important insights development AI integration provided.

Language: Английский

A comprehensive review on triboelectric sensors and AI-integrated systems DOI
Shengshun Duan, Huiyun Zhang, Lei Liu

et al.

Materials Today, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

23
Extreme Orientation of Stereocomplexed Poly(lactic acid) Induced Ultrafine Electroactive Nanofibers for Respiratory Healthcare and Intelligent Diagnosis DOI

Cunmin Wang,

Xinjian He,

Guiying Zhu

et al.

ACS Sustainable Chemistry & Engineering, Journal Year: 2024, Volume and Issue: 12(24), P. 9290 - 9300

Published: June 5, 2024

Biodegradable and renewable poly(lactic acid) (PLA) fibrous membranes have emerged as a promising approach to replace traditional polymeric air filters, but are still challenged by relatively low electroactivity poor electret properties. Herein, we disclose an effective electrospinning strategy substantially promote the extreme orientation of stereocomplexed PLA (OSC-PLA), conferring significant alignment refinement electrospun nanofibers (diameter ∼370 nm), well facilitate formation electroactive phases (i.e., β-phase, phase, stereocomplex crystals). Benefiting from well-tailored morphology remarkable electroactivity, OSC-PLA nanofibrous (NFMs) were characterized largely improved dielectric properties, surface potential (over 3.64 kV), PM0.3 filtration properties (93.33% at 85 L/min) compared pure PLLA membrane (2.01 kV 80.21%). It enabled assembly triboelectric nanogenerator (TENG) filters using NFMs active layer, yielding excellent charge regeneration mechanisms output current nearly 80 nA, driven respiratory vibrations L/min, thus permitting high humidity resistance, exemplified removal efficiency 95.02% RH 90%. Moreover, deep machine learning man–machine interaction integrated with OSC-PLA-based TENGs, demonstrating long-term monitoring high-precision diagnosis (accuracy 96.88%) various patterns. The proposed ecofriendly ultrafine highly appealing for sustained healthcare self-powered intelligent diagnosis.

Language: Английский

Citations

20
Printed-Scalable Microstructure BaTiO3/Ecoflex Nanocomposite for High-Performance Triboelectric Nanogenerators and Self-Powered Human-Machine Interaction DOI
Wentao Guo,

Yanqiang Lei,

Xinhua Zhao

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: unknown, P. 110324 - 110324

Published: Oct. 1, 2024

Language: Английский

Citations

20
Augmented Tactile Perception of Robotic Fingers Enabled by AI‐Enhanced Triboelectric Multimodal Sensors DOI
Xi Zhao, Zhongda Sun, Chengkuo Lee

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(49)

Published: Aug. 8, 2024

Abstract Recent developments in robotics increasingly highlight the importance of sensing technology, especially tactile perception, enabling robots to effectively engage with their environment and interpret physical interactions. Due power efficiency low cost, triboelectric mechanism has been frequently studied for measuring pressure identifying materials enhance robot perception. Nevertheless, there limited exploration using effect detect curved surfaces, despite prevalence daily lives. Here, a multimodal sensor (TMTS) multilayered structural design is proposed recognize distinct materials, curvatures, simultaneously, thus decoupling different modalities enable more accurate detection. By attaching sensors robotic fingertips leveraging deep learning analytics, quantitative curvature measurement provides precise insights into an object's detailed geometric characteristics rather than merely assessing its overall shape, hence achieving automatic recognition 12 grasped objects 99.2% accuracy. The can be further used accurately softness under touch gestures hand, 94.1% accuracy, demonstrating significant potential wide‐ranging applications future robotic‐enabled intelligent society.

Language: Английский

Citations

17
Enhancing contact triboelectrification by coupling interfacial spontaneous polarization and permittivity manipulation DOI

Haozhen Li,

Xin Zhao,

Guangzhong Xie

et al.

Applied Physics Letters, Journal Year: 2025, Volume and Issue: 126(5)

Published: Feb. 3, 2025

The electricity generation of triboelectric nanogenerators (TENGs) originates from charge transfer enabled by contact electrification. However, the inherent barrier between two contacting surfaces hampers transfer. There are mainly four ways to promote triboelectrification TENGs. While synergy among them has never been achieved. Herein, we reported an effective strategy boost efficiency synergizing strong ferroelectric polarization and high permittivity embedded lead zirconate titanate fillers. influence interfacial intensity dielectric permittivity, as well corona poling, on composite film was systematically investigated. Notably, switching direction renders increase (207%) or a decrease (71%) in output comparison with non-poled counterpart. Theoretical modeling established combining Kelvin probe force microscopy characterization electron cloud overlap energy band derivation. This work not only offers unprecedented insight into fundamental mechanism but also opens up possibility development next-generation wearable electronics.

Language: Английский

Citations

9
Electro-spun nanofibers-based triboelectric nanogenerators in wearable electronics: status and perspectives DOI Creative Commons
Dan Tao, Ping Su, Aiping Chen

et al.

npj Flexible Electronics, Journal Year: 2025, Volume and Issue: 9(1)

Published: Jan. 16, 2025

Language: Английский

Citations

3
Breathable, hydrophobic and antibacterial bioinspired fabric pressure sensors for comfortable skin-mountable health monitoring DOI

Guifen Sun,

Zhendong Sun,

Peng Wang

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159808 - 159808

Published: Jan. 1, 2025

Language: Английский

Citations

2
Thermal insulating textile based triboelectric nanogenerator for outdoor wearable sensing and interaction DOI

Haishuang Jiao,

Xiangde Lin, Yao Xiong

et al.

Nano Energy, Journal Year: 2023, Volume and Issue: 120, P. 109134 - 109134

Published: Nov. 29, 2023

Language: Английский

Citations

38
Multi-functional triboelectric nanogenerators on printed circuit board for metaverse sport interactive system DOI
Yongsheng Zhu,

Tianming Zhao,

Fengxin Sun

et al.

Nano Energy, Journal Year: 2023, Volume and Issue: 113, P. 108520 - 108520

Published: May 12, 2023

Language: Английский

Citations

35
2D Material‐Based Wearable Energy Harvesting Textiles: A Review DOI Creative Commons
Iftikhar Ali, Marzia Dulal, Nazmul Karim

et al.

Small Structures, Journal Year: 2023, Volume and Issue: 5(1)

Published: Nov. 27, 2023

Wearable electronic textiles (e‐textiles) have emerged as a transformative technology revolutionizing healthcare monitoring and communication by seamlessly integrating with the human body. However, their practical application has been limited lack of compatible sustainable power sources. Various energy sources, including solar, thermal, mechanical, wind, explored for harvesting, leading to diverse harvesting technologies, such photovoltaic, thermoelectric, piezoelectric, triboelectric systems. Notably, 2D materials gained significant attention attractive candidates storage in e‐textiles due unique properties, high surface‐to‐volume ratio, mechanical strength, electrical conductivity. Textile‐based harvesters employing offer promising solutions powering next‐generation smart wearable devices integrated into clothing. This comprehensive review explores utilization textile‐based harvesters, covering preparation, fabrication, characterization strategies. Recent advancements are highlighted, focusing on integration implementations, shedding light performance effectiveness 2D‐material‐based e‐textiles, highlighting potential alternative conventional supplies technologies.

Language: Английский

Citations

32