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| 1 | Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications显示文摘The era of artificial intelligence and internet of things is rapidly developed by recent advances in wearable electronics.Gait reveals sensory information in daily life containing personal information,regarding identification and healthcare.Current wearable electronics of gait analysis are mainly limited by high fabrication cost,operation energy consumption,or inferior analysis methods,which barely involve machine learning or implement nonoptimal models that require massive datasets for training.Herein,we developed low-cost triboelectric intelligent socks for harvesting waste energy from low-frequency body motions to transmit wireless sensory data.The sock equipped with self-powered functionality also can be used as wearable sensors to deliver information,regarding the identity,health status,and activity of the users.To further address the issue of ineffective analysis methods,an optimized deep learning model with an end-to-end structure on the socks signals for the gait analysis is proposed,which produces a 93.54%identification accuracy of 13 participants and detects five different human activities with 96.67%accuracy.Toward practical application,we map the physical signals collected through the socks in the virtual space to establish a digital human system for sports monitoring,healthcare,identification,and future smart home applications. | Zixuan Zhang Tianyiyi He Minglu Zhu Zhongda Sun Qiongfeng Shi Jianxiong Zhu Bowei Dong Mehmet Rasit Yuce Chengkuo Lee | 2020 | npj Flexible Electronics2020，4，1： | 4 |
| 2 | 石墨烯基柔性膜材料的制备及应用研究进展显示文摘具有多重优异性能的石墨烯已经成为推动新经济、新业态下的革命性新材料,石墨烯柔性膜材料作为石墨烯基材料的一种重要表现形式,在光伏发电、能源储备、电磁屏蔽、抗菌消毒等领域有着广泛的应用前景,也成为研究的重点。针对目前石墨烯基柔性膜材料的制备方法、应用机理和应用范畴进行综述,并分析当下所面临的主要问题及其发展前景。 | 陶思轩 杨群 谭金洪 胡庚昊 | 2023 | 化工新型材料2023，51，5： | 0 |
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