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)
Authors
- Yan Cheng (ORCID: https://orcid.org/0000-0001-9239-6791)
- Yi Shi (ORCID: https://orcid.org/0000-0002-1082-0315)
- Lijia Pan (ORCID: https://orcid.org/0000-0002-8917-7843)
- Yuqiong Sun (ORCID: https://orcid.org/0000-0002-8197-4151)
- Jinrong Huang (ORCID: https://orcid.org/0000-0003-1370-2987)
- Jing Zhang (ORCID: https://orcid.org/0000-0003-3733-8104)
Institutions
- Collaborative Innovation Center of Advanced Microstructures (CN)
- Nanjing University (CN)
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