摘要
ABSTRACT Gesture interaction has emerged as a highly effective interface for intelligent human-computer interaction,attributed to its intuitive interaction modality and multidimensional control capabilities.However,traditional gesture interaction devices often depend on predefined encoding rules,which substantially limit interaction efficiency and degrade user experience.This study introduces an innovative intelligent finger ring interaction system based on a triboelectric nanogenerator utilizing PDMS/SrTiO_(3) composite thin film(PS-TENG).The system maps freehand writing gestures directly to textual information input,thereby eliminating the need for complex gesture encoding schemes and offering a user-friendly,low-learning-curve input method.By integrating a deep learning model,the system achieves recognition accuracies of 98.21%for English letters,96.87%for Arabic numerals,and 96.44%for Chinese characters.Furthermore,it supports secure and encrypted data transmission and enables wireless interaction for gaming control.These findings indicate that the intelligent finger ring interaction system possesses significant potential for practical applications in information input and wireless control.
手势交互因其自然交互模态和高维度操控优势而成为智能人机交互的理想媒介.然而,传统的手势交互设备依赖传统的手势编码规则,严重限制了交互效率与用户体验.本研究提出了一种基于摩擦纳米发电机的创新智能指环交互系统(PS-TENG),该系统采用聚二甲基硅氧烷/钛酸锶复合薄膜.该系统可将自由书写手势直接映射为文本信息输入,从而消除对复杂手势编码方案的需求,并提供一种用户友好、学习曲线低输入方法.通过集成深度学习模型,该系统实现了对英文字母98.21%、阿拉伯数字96.87%及中文字符96.44%的识别准确率.此外,该系统支持安全加密数据传输,并可实现无线交互以控制游戏操作.这些研究结果表明,智能指环交互系统在信息输入和无线控制领域具有显著的实际应用潜力.
基金
supported by the National Key R&D Program of China (2023YFB3608701)
the Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China (2021ZZ130)
the Fujian Science and Technology Talent Development Program (2024RC013)
the Fuzhou Science and Technology Talent Development Program (2024-R-010)
the Natural Science Foundation of Fujian Province of China (2024J01281)。
