摘要
手指运动姿势识别在远程医疗、智能可穿戴设备以及人机交互等领域具有广泛的应用前景,但如何实现自然流畅的手指运动姿势识别仍存在不少挑战。提出了一种基于双包层光纤布拉格光栅(FBG)传感器阵列的手指运动姿势识别系统,通过在受测者前臂不同位置布设6个不同中心波长的双包层FBG传感器,可在不影响手指自然流畅运动的前提下,实时监测手指运动引起的前臂不同肌肉组织的微小形变。在学习6种已知手势引起的双包层FBG中心波长漂移的基础上,实现了对未知简单手势近100%和复杂手势约87%的高准确率识别。与普通单模FBG传感器进行了对比实验,结果表明在相同的实验条件下,双包层FBG传感器对微小应变具有更高的灵敏度和对手指运动姿势更高的识别率。本工作开发的双包层FBG传感器阵列既可以高精度的识别不同手势,同时具有良好的稳定性,有望在手势识别领域中获得实际应用。
Finger motion gesture recognition has broad application prospects in remote medical care,intelligent wearable devices,and human-computer interaction.However,many challenges still exist in achieving natural and fluent finger motion gesture recognition.In this paper,we proposed a finger motion gesture recognition system based on a double-clad fiber Bragg grating(FBG)sensor array.Six double-clad FBG sensors with different central wavelengths were deployed at various positions on the subjects forearms.The system can recognize the small deformations of different muscle tissues caused by finger motion in real-time,and it will not affect the natural and fluent motion of the fingers.The system achieved high accuracy recognition of nearly 100%of unknown simple gestures and about 85%of complex gestures based on the double-clad FBG center wavelength shift of six known static gestures.The same experiment was conducted using single-mode FBG.The results showed that the double-clad FBG could effectively recognize simple gestures of single-finger motion and complex gestures of multiple-finger motion.In contrast,the single-mode FBG can only recognize gestures of single-finger motion.The double-clad FBG sensor array finger motion gesture recognition system proposed in this paper not only ensures high-precision deformation measurement to recognize different gestures but also has good stability and anti-interference ability.These results indicate that the research work in this paper has great potential in gesture recognition.
作者
张森
刘熠鑫
张增亚
周健文
陆俊宇
曹珊珊
余柯涵
韦玮
郑加金
ZHANG Sen;LIU Yi-xin;ZHANG Zeng-ya;ZHOU Jian-wen;LU Jun-yu;CAO Shan-shan;YU Ke-han;WEI Wei;ZHENG Jia-jin(College of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China;China Telecom Group Shandong Branch,Jinan 250101,China;Jiangsu Zhongtian Technology Co.,Ltd.,Nantong 226009,China;Jiangsu Province Engineering Research Center for Fabrication and Application of Special Optical Fiber Materials and Devices,Nanjing 210023,China)
出处
《光谱学与光谱分析》
北大核心
2025年第3期863-868,共6页
Spectroscopy and Spectral Analysis
基金
国家自然科学基金项目(62075100)资助。
