journal article·2021-01

A Delta‐Parallel‐Inspired Human Machine Interface by Using Self‐Powered Triboelectric Nanogenerator Toward 3D and VR/AR Manipulations

Cheng Hou, Jiangjun Geng, Zhan Yang, Tianyi Tang, Yuyang Sun, Fengxia Wang, Huicong Liu, Tao Chen, Lining Sun

Advanced Materials Technologies· Volume 6· Issue 1
Publisher page

Abstract

Abstract In recent years, human‐machine interface technology has entered a period of rapid development in the global scope. It has gradually expanded from the initial field of medical rehabilitation to engineering bionics, virtual reality, space technology, deep‐sea assignments, atomic energy technology, remote education, and other areas. Herein, an innovative, self‐powered delta‐parallel human‐machine interface (DT‐HMI) for 3D sensing and control is proposed. By using three pairs of triboelectric nanogenerator (TENG) sensing gears based on both contact‐separation and sliding modes of triboelectric effect, the positive and negative rotation of the gears and rotation angles can be obtained. According to the forward‐and‐inverse kinematics of parallel robots, the spatial position and motion attitude of the platform can be calculated. The three pairs of TENG sensing gears with six electrodes define the 512 virtual sensing pixels. The low‐cost, simple‐designed DT‐HMI controller can achieve remote control and even spatial position mapping. Accordingly, the combination of output signals enables the realization of a highly scalable and self‐powered triboelectric interface toward a variety of application scenarios, including 2/3D control, VR/AR, interaction, robotics, etc.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies · Conducting polymers and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical and Electric Engineering Jiangsu Provincial Key Laboratory of Advanced Robotics Soochow University Suzhou 215123 China

Funding

National Natural Science Foundation of China

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