数据手套用柔性传感系统及信号特征分析技术
Flexible sensing systems and signature feature analysis techniques for data gloves
黄辰 1胡吉永1
作者信息
- 1. 东华大学 纺织学院,上海 201620;东华大学 纺织面料技术教育部重点实验室,上海 201620
- 折叠
摘要
对数据手套采集信息的各组成部件进行归纳,总结数据手套中的传感系统,重点探讨柔性传感器的制备和传感阵列在手套中的集成.综述数据手套在不同应用场景下对采集信号的处理模式,特别介绍深度学习及神经网络计算方法在手势识别中的研究进展.最后,总结数据手套需突破的问题及未来发展趋势.
Abstract
The components of data gloves collecting information were concluded,the sensor systems in data gloves were summarized,including the preparation of flexible sensors and the integration of sensor array in the gloves.The processing modes of data gloves for the collected signals in different application scenarios were reviewed,and the research progress of deep learning and neural network computing methods in gesture recognition was particularly introduced.Finally,the problems to be broken through and the future development trend of data gloves were summarized.
关键词
人机交互/数据手套/纺织基传感器/信号采集处理/信号特征提取Key words
human-computer interaction/data glove/textile based sensor/signal acquisition processing/signal feature extraction引用本文复制引用
基金项目
上海市自然科学基金(22ZR1400800)
出版年
2024
NETL
NSTL
万方数据