Virtual Keyboard

Virtual keyboard research aims to improve typing speed, accuracy, and accessibility across diverse user needs and contexts. Current efforts focus on leveraging machine learning, particularly deep learning models like convolutional recurrent neural networks and large language models, to enhance input methods by incorporating touch heatmaps, predictive text capabilities, and gesture recognition. These advancements are impacting assistive technologies for users with motor impairments, improving mobile keyboard performance, and even enabling novel input methods like typing on any surface using computer vision. The resulting improvements in typing efficiency and accessibility have significant implications for communication and human-computer interaction.