TactGAN - vibrotactile designing driven by GAN-based automatic generation.

In this study, we propose the vibrotactile feedback designing system using GAN (Generative Adversarial Network)-based vibrotactile signal generator (TactGAN). Preparing appropriate vibrotactile signals for applications is difficult and takes much time because we need recording or directly hand tuning signals if the required signals do not exist in the database of vibrotactile stimuli. To solve these problems, TactGAN can generate signals presenting specific tactile impression based on user-defined parameters. It can also automatically generate signals presenting the tactile impression of images. It realizes the rapid designing of vibrotactile signals for application with such feedback. Users can experience the rapid designing process of the vibrotactile stimuli for specific user interfaces or specific contents on applications. TactGAN enables us to apply various vibrotactile stimuli to UI components like buttons using material kinds or tactile words, and to attach textures with vibrotactile feedback to the 3D model.