Research on texture haptic reconstruction method based on Informer model

As the technology of virtual reality (VR) and augmented reality (AR) continue to advance at a rapid pace, there has been an increasing focus among researchers on the perception of haptic feedback in virtual environments. In recent years, vibration-based texture haptic modeling research has gradually received attention. Using vibration signals to analyze the texture features of objects and describing them using mathematical models, object textures can be reproduced. This technique is not only widely used in VR and AR, but also has important research value and application prospects in haptic assistive technology for the blind. This article proposes a virtual texture haptic reconstruction model based on the Informer model, aiming to address issues such as poor accuracy, weak generalization ability, and poor real-time performance of texture haptic reconstruction models. The algorithm is based on the encoder-decoder framework of Informer model, and uses interaction information as input to extract features from the user-texture interaction parameters (sliding speed and interaction pressure) to generate dynamic vibration acceleration signals in real time. The algorithm is experimentally validated by performance evaluation of the model to verify the accuracy as well as the generalization of the algorithm.