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水下手势识别元手套用于海洋沉浸式通信

Jiaxu Liu¹, Lihong Wang¹, Ruidong Xu¹

¹Health & Protective Smart Textiles Research Center (HPT)/Research Center for Intelligent & Wearable Technology, College of Textiles & Clothing, State Key Laboratory of Bio-Fibers & Eco-Textiles, Collaborative Innovation Center for Eco-Textiles of Shandong Province, Qingdao University, Qingdao, Shandong 266071, People's Republic of China.

|April 10, 2024

概括

这项研究介绍了一款以海星为灵感的柔性手套,配有先进的触觉传感器,用于水下通信. 手套准确地识别了16种手势,增强了潜水员的互动和沉浸式体验.

科学领域:

生物仿真工程生物仿真工程
机器人技术和人与计算机的互动.
材料科学是一种材料科学.

背景情况:

人工智能和沉浸式通信的进步需要高性能触觉感应手套.
目前的触摸手套缺乏舒适性,不适合在水下使用.
需要强大,灵敏和多功能触觉传感解决方案.

研究的目的:

开发一款灵活的手动手势识别手套 (GRG),配备高性能微柱状触觉传感器 (MPTS).
为了创建一个防水触摸感应系统用于水下应用.
通过精确的手势识别来实现智能水下通信.

主要方法:

制造以海星为灵感的微柱状触觉传感器 (MPTS).
将MPTS集成到灵活的手套系统中.
开发用于手势识别的机器学习算法.

主要成果:

这些MPTS显示了广泛的工作范围 (5Pa到450kPa),快速响应 (23ms) 和高可重复性 (~10000个周期).
防水传感器适用于水下环境.
该GRG系统实现了水下16种手势的智能识别,具有高精度.

结论:

拟议的GRG系统为水下触觉传感和通信提供了一个新的解决方案.
仿生传感器设计提供了出色的性能特征.
这项技术在增强水下人机交互和潜水员沟通方面具有重大潜力.

关键词:

灵活的触觉传感器是灵活的触觉传感器.这是手势识别,是手势识别.机器学习是机器学习.灵感来自于海星的微柱体.水下通信是指水下通信.

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