Scale Production of a Stretchable Fiber Triboelectric Nanogenerator in Customizable Textile for Human Motion Recognition DOI

Yifan Zu,

Shuai Xu, Pengfei Sun

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(47), P. 65348 - 65357

Published: Nov. 15, 2024

Although the fiber-based triboelectric nanogenerator (F-TENG) has been recognized as one of most promising flexible sensor systems, it is facing a challenge balancing performance and processing scalability. Herein, we develop hierarchical coaxial F-TENG possessing PU layer, Ag PA layer from core to outer part by an efficient straightforward two-step braiding method. Owning small diameter 1 mm, presents high linear sensing response, wide working range 5 150 kPa, quick reaction speed around 200 ms. In addition, shows flexibility, cyclic washability, superior mechanical stability. Furthermore, customizable textiles (e.g., wrist support socks) that conform perfectly human body have knitted F-TENGs warps or wefts, which are able monitor motion signals. Together with optimized machine learning algorithm, five motions (stand, slow walk, normal run, jump) can be analyzed precision up 99%. short, this work scalable approach self-powered textiles, offering excellent wearable digital platform/system for potential capture/monitoring, identification, smart-sports-related applications.

Language: Английский

Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review DOI Creative Commons
Ahmed Mahfuz Tamim, Yebin Lee,

Jung Hwan Park

et al.

Nano Trends, Journal Year: 2025, Volume and Issue: unknown, P. 100086 - 100086

Published: Feb. 1, 2025

Language: Английский

Citations

1
Recent advances in nanogenerators for wearable electronic devices DOI Creative Commons

Daniel Manaye Tiruneh,

Hanjun Ryu

Published: March 1, 2025

The advancement of triboelectric nanogenerators (TENGs) and piezoelectric (PENGs) have impacted different fields emerging technological applications by changing wasted mechanical energy into useful electrical energy. Specifically, TENGs PENGs contribute as a power source for applications, such health fitness real-time monitoring therapeutic interventions flexible smart fabric wearable devices variety also to intelligent transportation security including vehicle safety systems IoT-based feedback alerts. Furthermore, it highlights environmental air quality purification. This Review introduces recent advancements in TENGs, PENGs, hybrid NGs introducing structural designs, working mechanisms, device materials, output power, diverse applications. With the growth miniaturization material discipline, offer innovative solutions sustainability off-grid electronics. Future research should emphasize increasing conversion efficiencies, durability, washability facilitate self-powered

Language: Английский

Citations

1
Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality DOI
Deqiang He, Hongyu Chen, Xinyi Zhao

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: March 12, 2025

With the increasing development of metaverse and human-computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual reality (VR) environments are receiving significant attention. This study presents a self-sensing facial recognition mask (FRM) utilizing triboelectric nanogenerators (TENG) machine learning algorithms to enhance user immersion interaction. Various TENG negative electrode materials evaluated improve sensor performance, efficacy single is confirmed. For accurate movement emotion detection, different assessed, leading selection an advanced data processing method with two-layer long short-term memory model, which achieves 99.87% accuracy. The practical FRM system reality, including psychotherapy HMI scenarios, validated through mathematical models. Additionally, digital twin-based monitoring platform developed using 5G, database, visualization technologies oversee status. Overall, these innovative approaches overcome limitations existing face environmental interference high cost, compared other technologies.

Language: Английский

Citations

0
A high recognition accuracy tactile sensor based on boron nitride nanosheets/epoxy composites for material identification DOI
Shufen Wang, Mengyu Li,

Hailing Xiang

et al.

Materials Horizons, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Boron nitride nanosheets/waterborne epoxy composites were used as friction layers for TENG devices to identify materials with strong electrophilicity, achieving a static identification accuracy of 100% 8 types negative materials.

Language: Английский

Citations

0
Scale Production of a Stretchable Fiber Triboelectric Nanogenerator in Customizable Textile for Human Motion Recognition DOI

Yifan Zu,

Shuai Xu, Pengfei Sun

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(47), P. 65348 - 65357

Published: Nov. 15, 2024

Although the fiber-based triboelectric nanogenerator (F-TENG) has been recognized as one of most promising flexible sensor systems, it is facing a challenge balancing performance and processing scalability. Herein, we develop hierarchical coaxial F-TENG possessing PU layer, Ag PA layer from core to outer part by an efficient straightforward two-step braiding method. Owning small diameter 1 mm, presents high linear sensing response, wide working range 5 150 kPa, quick reaction speed around 200 ms. In addition, shows flexibility, cyclic washability, superior mechanical stability. Furthermore, customizable textiles (e.g., wrist support socks) that conform perfectly human body have knitted F-TENGs warps or wefts, which are able monitor motion signals. Together with optimized machine learning algorithm, five motions (stand, slow walk, normal run, jump) can be analyzed precision up 99%. short, this work scalable approach self-powered textiles, offering excellent wearable digital platform/system for potential capture/monitoring, identification, smart-sports-related applications.

Language: Английский

Citations

2