This paper explores new approaches to recognize Chinese characters in images through touch sense. We extract the gradient image fused with brightness and chrominance information by the flow-based Gauss difference algorithm, and use the edge tangential flow method to smooth image contour, to obtain smooth character contours with significant edge features. Then, we use a tactile generation algorithm with five mechanical elements to generate stable and continuous tactile information based on the normal vector of triangular patches of the surface. To verify the feasibility and effectiveness of the proposed methods, we developed a Chinese character tactile sensing system. Experiments show that Chinese characters in images can be recognized by touch sense with higher recognition accuracy rate.

Force generation will improve the immersion and authenticity of the virtual environment with human computer interaction. Considering the limitations of single-point interaction with force generation, this paper proposes real-time force generation methods based on double-points interaction. Analyzing the double-points interaction behaviors, we propose different equations to calculate the interactive force under four different interaction states. We establish an experimental environment to test the efficiency of double-points haptic interaction. The evaluation results show that the method can generate interactive force in time, enhance the immersion and authenticity of the virtual environment, and improve the naturalness of human computer interaction.