Optical‐Nanofiber‐Enabled Gesture‐Recognition Wristband for Human–Machine Interaction with the Assistance of Machine Learning
Optical‐Nanofiber‐Enabled Gesture‐Recognition Wristband for Human–Machine Interaction with the Assistance of Machine Learning
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DOI：
10.1002/aisy.202200412
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发表时间：
2023-03
影响因子：
7.4
通讯作者：
Shipeng Wang;Xiaoyu Wang;Shan Wang;Wen Yu;Longteng Yu;Lei Hou;Yao Tang;Zhang Zhang-Zhang;
中科院分区：
文献类型：
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作者：
Shipeng Wang;Xiaoyu Wang;Shan Wang;Wen Yu;Longteng Yu;Lei Hou;Yao Tang;Zhang Zhang-Zhang;
虚拟世界和真实的世界融合在一起的虚拟宇宙目前正处于快速发展之中。虚拟实境中的沉浸式和生动的体验需要人机交互设备，与目前可用的设备不同，这些设备同时是不可感知的，使用方便，便宜和安全的。在此，提出并实现了一种能够准确识别手势并用于与机器人手交互的基于光学传感器的手势识别腕带。该腕带仅需三个基于光纤的压力传感器，结构简单，使用方便，用户无法察觉。在机器学习算法的帮助下，对于不同体质的测试人员，最高识别准确率可达94%。一个机器人手可以通过手势由腕带远程控制。该腕带具有广阔的应用前景，是一种很有前途的高级人机交互设备解决方案。这篇文章的互动预印本可以在这里找到：https://doi.org/10.22541/au.167022827.77928491/v1。
The metaverse, where the virtual and real world are fused, is currently under rapid development. Immersive and vivid experience in the metaverse requires human–machine interaction devices that, unlike those currently available, are simultaneously imperceptible, convenient to use, inexpensive, and safe. Herein, an optical‐nanofiber‐based gesture‐recognition wristband that can accurately recognize gestures and be used to interact with a robotic hand is proposed and realized. Requiring only three optical‐nanofiber‐based pressure sensors, the wristband is simple in structure, convenient to use, and remarkably imperceptible to the user. With the assistance of a machine‐learning algorithm, a maximum recognition accuracy of 94% is achieved for testers with different physiques. A robotic hand can be remotely controlled by the wristband through gestures. The wristband has broad application prospects and is a promising solution for advanced human–machine‐interaction devices. An interactive preprint version of the article can be found here: https://doi.org/10.22541/au.167022827.77928491/v1.