Poster Abstract: TENG-enabled Self-powered Human-machine Interfaces for the Metaverse

被引：1

作者：

Wang, Haoyang ^{[1
]}

Man, Fanhang ^{[2
]}

Wang, Zihan ^{[2
]}

Liu, Yuxuan ^{[2
]}

Chen, Xinlei ^{[1
]}

Dingt, Wenbo ^{[1
]}

机构：

[1] Tsinghua Univ, Shenzhen Int Grad Sch, RISC V Int Open Source Lab, Peng Cheng Lab, Shenzhen, Peoples R China

[2] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China

来源：

PROCEEDINGS OF THE 2023 THE 22ND INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS, IPSN 2023 | 2023年

关键词：

Triboelectric nanogenerator; Human-machine interface; Metaverse;

D O I：

10.1145/3583120.3589820

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Human-machine interface (HMI) of high degrees of freedom (DoF) is one of the most critical bases of the metaverse. The ideal HMI for the metaverse should be cheap, robust, customizable, and ergonomically friendly. In light of this, we propose a triboelectric nanogenerator (TENG)-based sensing system. We developed a low-cost, soft, light, and customizable TENG sensor to collect data from the human body. We then used an artificial neural network (ANN) to obtain the corresponding human motion from collected sensory data. The effectiveness of the proposed system is demonstrated with experiments of a working prototype.

引用

页码：306 / 307

页数：2

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