Design of a flexible data glove for gesture recognition

IF 4.1 3区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Sensors and Actuators A-physical Pub Date : 2025-05-10 DOI:10.1016/j.sna.2025.116638

Jing Fang , Ruoxin Feng , Xiangxuan Tang , Longhui Qin

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引用次数: 0

Abstract

As a newly emerged assistive device, data gloves are able to help amputees rebuild their sense of haptic perception, empower robots with dexterous manipulation, and even enhance human’s capability of remote sensing and control. Up to now, it has boosted a wide range of potential applications, e.g., tele-operation, medical rehabilitation, and virtual reality. In this paper, a low-cost and easy-to-fabricate flexible data glove was designed consisting of 5–row by 4–column piezo-resistive sensing elements (SEs), two flexible electronic circuits and two protective polydimethylsiloxane (PDMS) layers. Based on the design of a ’switch’ structure and a simplified wiring layout, the stimulus locations and force values could be determined conveniently with a dynamic scanning algorithm, although there were only 9-path signal outputs. After the experimental verification of its perception performance, a recognition model was established based on an extreme learning machine (ELM) algorithm to recognize 10 hand gestures, one of its potential applications, in which 20 subjects participated. It achieved a recognition accuracy of 92.37% and the standard deviation was

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1.80% among these individuals, which validated the performance of our designed data glove.

查看原文本刊更多论文

一种用于手势识别的柔性数据手套设计

数据手套作为一种新兴的辅助设备，可以帮助截肢者重建触觉感知，赋予机器人灵巧的操作能力，甚至可以增强人类的遥感和控制能力。到目前为止，它已经推动了广泛的潜在应用，如远程操作，医疗康复和虚拟现实。本文设计了一种低成本、易于制作的柔性数据手套，该手套由5排4列压阻传感元件（SEs）、两个柔性电子电路和两个聚二甲基硅氧烷（PDMS）保护层组成。基于“开关”结构的设计和简化的布线布局，虽然只有9路信号输出，但可以通过动态扫描算法方便地确定刺激位置和力值。在对其感知性能进行实验验证后，建立了一种基于极限学习机（ELM）算法的识别模型，以识别其潜在应用之一的10种手势，共有20名受试者参与。在这些个体中，其识别准确率为92.37%，标准差为±1.80%，验证了数据手套的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sensors and Actuators A-physical 工程技术-工程：电子与电气

CiteScore

8.10

自引率

6.50%

发文量

630

审稿时长

49 days

期刊介绍： Sensors and Actuators A: Physical brings together multidisciplinary interests in one journal entirely devoted to disseminating information on all aspects of research and development of solid-state devices for transducing physical signals. Sensors and Actuators A: Physical regularly publishes original papers, letters to the Editors and from time to time invited review articles within the following device areas: • Fundamentals and Physics, such as: classification of effects, physical effects, measurement theory, modelling of sensors, measurement standards, measurement errors, units and constants, time and frequency measurement. Modeling papers should bring new modeling techniques to the field and be supported by experimental results. • Materials and their Processing, such as: piezoelectric materials, polymers, metal oxides, III-V and II-VI semiconductors, thick and thin films, optical glass fibres, amorphous, polycrystalline and monocrystalline silicon. • Optoelectronic sensors, such as: photovoltaic diodes, photoconductors, photodiodes, phototransistors, positron-sensitive photodetectors, optoisolators, photodiode arrays, charge-coupled devices, light-emitting diodes, injection lasers and liquid-crystal displays. • Mechanical sensors, such as: metallic, thin-film and semiconductor strain gauges, diffused silicon pressure sensors, silicon accelerometers, solid-state displacement transducers, piezo junction devices, piezoelectric field-effect transducers (PiFETs), tunnel-diode strain sensors, surface acoustic wave devices, silicon micromechanical switches, solid-state flow meters and electronic flow controllers. Etc...