摩擦电效应
纳米发生器
材料科学
手势识别
聚偏氟乙烯
手势
手指敲击
电气工程
声学
人工智能
计算机科学
复合材料
工程类
聚合物
听力学
物理
医学
压电
作者
Sheng Liu,Weiming Qing,Dong Zhang,Chong-Zao Gan,Jiacheng Zhang,Sihua Liao,Kexiang Wei,Hong‐Xiang Zou
出处
期刊:Nano Energy
[Elsevier]
日期:2024-06-06
卷期号:128: 109849-109849
被引量:4
标识
DOI:10.1016/j.nanoen.2024.109849
摘要
Triboelectric sensors, which are used in human-computer interaction and condition monitoring, have attracted tremendous scientific interest owing to their broad applicability, high energy utilization, and high accuracy detection. Here, a staircase-style flexible triboelectric sensor assembled by the antimony-doped tin oxide (ATO) functionalized flexible polyvinylidene fluoride polymer (PVDF) composite film is first proposed for gesture recognition and human motion detection. The modified composite film ATO/PVDF with high polarization and large permittivity improves the electrical output of the triboelectric nanogenerator (TENG). Compared with the pure PVDF, the modified PVDF film-based TENG could substantially enhance power density by 11.5 times. The peak voltage and power density of the flexible staircase-style TENG achieve 70 V and 0.58 W/m2, respectively. The flexible triboelectric sensor can be attached to the finger or wrist to obtain movement information through positive/negative signals. A set of rules between gestures and corresponding letters and numbers is defined and a gesture recognition system using deep learning algorithms is developed. The flexible triboelectric sensor realizes human body part bending, gesture, and motion state recognition, offering potential solutions and novel possibilities in smart sensing and human-computer interaction.
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