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Robust hydrogel sensors for unsupervised learning enabled sign-to-verbal translation 被引量:2
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作者 Hude Ma Haiyang Qin +12 位作者 Xiao Xiao Na Liu Shaolei Wang Junye Li Sophia Shen Shuqi Dai Mengmeng Sun Peiyi Li Xiaofang Pan Mingjun Huang Baoyang Lu Jun Chen Lidong Wu 《InfoMat》 SCIE CSCD 2023年第7期70-80,共11页
Highly stretchable and robust strain sensors are rapidly emerging as promising candidates for a diverse of wearable electronics.The main challenge for the practical application of wearable electronics is the energy co... Highly stretchable and robust strain sensors are rapidly emerging as promising candidates for a diverse of wearable electronics.The main challenge for the practical application of wearable electronics is the energy consumption and device aging.Energy consumption mainly depends on the conductivity of the sensor,and it is a key factor in determining device aging.Here,we design a liq-uid metal(LM)-embedded hydrogel as a sensing material to overcome the bar-rier of energy consumption and device aging of wearable electronics.The sensing material simultaneously exhibits high conductivity(up to 22 S m�1),low elastic modulus(23 kPa),and ultrahigh stretchability(1500%)with excel-lent robustness(consistent performance against 12000 mechanical cycling).A motion monitoring system is composed of intrinsically soft LM-embedded hydrogel as sensing material,a microcontroller,signal-processing circuits,Bluetooth transceiver,and self-organizing map developed software for the visu-alization of multi-dimensional data.This system integrating multiple functions including signal conditioning,processing,and wireless transmission achieves monitor hand gesture as well as sign-to-verbal translation.This approach provides an ideal strategy for deaf-mute communicating with normal people and broadens the application of wearable electronics. 展开更多
关键词 HYDROGEL liquid metal sign-to-verbal translation strain sensor unsupervised learning
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上海手语动词的“体”语法范畴研究 被引量:6
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作者 刘鸿宇 《中国特殊教育》 CSSCI 北大核心 2015年第5期33-38,共6页
对上海手语动词的体标记和体语法范畴进行考察,发现与有声语言相比,手语体标记手段主要借助停顿、重复、动作路径、具语法化倾向表完结义的附缀,以及非手控特征等手段,来标记不同体意义。手语体标记具有象似性、空间性、同时性和序列性... 对上海手语动词的体标记和体语法范畴进行考察,发现与有声语言相比,手语体标记手段主要借助停顿、重复、动作路径、具语法化倾向表完结义的附缀,以及非手控特征等手段,来标记不同体意义。手语体标记具有象似性、空间性、同时性和序列性特征。手语体表达中手控和非手控体标记经常叠用,同类体标记可表达不同体意义。不同手语凸显的体范畴类别不同,手语体语法范畴、数量和方式有紧密交融。 展开更多
关键词 手语 动词的体 体标记 体语法范畴
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