Design of a lightweight and easy‐to‐wear hand glove with multi‐modal tactile perception for digital human

Abstract

Within the field of human–computer interaction, data gloves play an essential role in establishing a connection between virtual and physical environments for the realization of digital human. To enhance the credibility of human‐virtual hand interactions, we aim to develop a system incorporating a data glove‐embedded technology. Our proposed system collects a wide range of information (temperature, bending, and pressure of fingers) that arise during natural interactions and afterwards reproduce them within the virtual environment. Furthermore, we implement a novel traversal polling technique to facilitate the streamlined aggregation of multi‐channel sensors. This mitigates the hardware complexity of the embedded system. The experimental results indicate that the data glove demonstrates a high degree of precision in acquiring real‐time hand interaction information, as well as effectively displaying hand posture in real‐time using Unity3D. The data glove's lightweight and compact design facilitates its versatile utilization in virtual reality interactions.