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,tr...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.展开更多
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)+2 种基金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)。
文摘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.
