南京大学学报(自然科学版) ›› 2023, Vol. 59 ›› Issue (4): 590–599.doi: 10.13232/j.cnki.jnju.2023.04.006
基于液态金属复合材料传感手环的手势意图识别系统
陈怡1, 唱睿喆1, 曹雨冬1, 张世武1,2, 孙帅帅1,2(
), 贠国霖3
- 1.中国科学技术大学工程科学学院, 合肥, 230022
2.中国科学技术大学?爱博智能机器人联合实验室, 合肥, 230022
3.剑桥大学剑桥石墨烯中心, 英国 剑桥, CB3 0FA
Gesture Intention recognition system based on liquid metal composites⁃enabled sensor bracelet
Yi Chen1, Ruizhe Chang1, Yudong Cao1, Shiwu Zhang1,2, Shuaishuai Sun1,2(), Guolin Yun3
- 1.School of Engineering Science, University of Science and Technology of China, Hefei, 230022, China
2.University of Science and Technology of China ? AiBLE Joint Laboratory of Intelligent Robots, Hefei, 230022, China
3.Cambridge Graphene Centre, University of Cambridge, Cambridge, CB3 0FA, UK
摘要：
手势意图识别是人机交互领域的热门研究方向，然而现有手势的识别系统大多基于肌电信号，肌电信号不可避免的信号串扰、衰减、信噪比低等问题严重影响了手势识别的准确率.为了解决这一问题，研发了基于液态金属复合材料传感手环的可穿戴手势识别系统，液态金属复合材料灵敏的压阻效应使设计的传感手环获取的传感信号表现出稳定、灵敏度高、噪声低等优异特性.基于此传感信号的手势识别系统由数据采集和模式识别两个部分组成，其平均离线识别准确率高达97.19%.更重要的是，该系统无须在手部加装设备，通过前臂肌肉即可获取信号，因此可用于手部功能缺失的残疾群体，用户范围广泛，具有重要的社会和经济效益.
中图分类号:
- TH702
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