Outside Front Cover: Volume 5 Issue 6

Outside front cover image: This work presents a gesture recognition system powered by high-performance ionogel-based strain sensors and deep learning algorithms. It enables precise, real-time hand gesture recognition with high sensitivity, fast response, and robust performance, making it ideal for applications such as virtual reality, intelligent control, assistive devices, and secure, silent command transmission in tactical operations. The system's adaptability ensures reliable recognition without retraining, even across different users or devices, offering significant potential for interactive technologies and secure communication in complex environments. (https://onlinelibrary.wiley.com/doi/full/10.1002/smm2.1269)

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Publication Details

Journal
SmartMat
Published
2024-12-01
DOI
https://doi.org/10.1002/smm2.1327
Primary Topic
Hand Gesture Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Outside Front Cover: Volume 5 Issue 6

Yan Cheng, Yi Shi, Lijia Pan, Yuqiong Sun et al.
SmartMat
Hand Gesture Recognition Systems
article

Outside Front Cover: Volume 5 Issue 6

Yan Cheng, Yi Shi, Lijia Pan, Yuqiong Sun, Jinrong Huang, Jing Zhang
article en

Abstract

Outside front cover image: This work presents a gesture recognition system powered by high-performance ionogel-based strain sensors and deep learning algorithms. It enables precise, real-time hand gesture recognition with high sensitivity, fast response, and robust performance, making it ideal for applications such as virtual reality, intelligent control, assistive devices, and secure, silent command transmission in tactical operations. The system's adaptability ensures reliable recognition without retraining, even across different users or devices, offering significant potential for interactive technologies and secure communication in complex environments. (https://onlinelibrary.wiley.com/doi/full/10.1002/smm2.1269)

SmartMatVol. 5(6)
Collaborative Innovation Center of Advanced Microstructures (CN), Nanjing University (CN)
Openalex Percentile: Top 76%
Hand Gesture Recognition Systems
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