Visual Expression of Emotion in Dynamic 3D Painting System Based on Emotion Synthesis Model

Emotion is a unique ability possessed by human beings as advanced creatures. Emotions give people a unique physical and mental experience. Assigning emotions to computer systems is one of the latest topics in artificial intelligence research. The purpose is to allow machines to achieve natural coordination between humans and computers. This article focuses on the visual expression of emotion in the dynamic three-dimensional painting system, creating an intelligent painting system and realizing a good user experience. In this paper, the discrete method is used to qualitatively analyze emotions, and the continuous method is used to quantify basic emotions, and emotional modeling and emotional quantitative analysis are proposed to realize quantitative analysis of emotions. Combining these two methods, a comprehensive method is proposed, which uses a continuous method to quantify the basic emotions of each discrete dimension, and finally superimposes them into a comprehensive emotional synthesis model. Emotion modeling is the basis of emotion visualization. Borrowing the relationship between emotion synthesis model and visual emotion elements, this article puts forward the concept of qualitative and quantitative visual emotion elements, and expounds that the multidimensional superposition of visual emotion elements makes dynamic three-dimensional painting system emotions. The experimental results in this article show that the emotional visualization scheme of 100 samples is tested by quantitative statistical methods to demonstrate its effectiveness. Starting from 5 points of concern, the emotion visualization method discussed in this article can indeed convey or suggest a certain positive emotion (the average value of experience, transitivity, and infectiousness > 2.5, and the variance is close to 0), but we also found this recognition at the same time The degree is not high enough, and individual differences are large (mean value < 2.5, variance close to 1). This can indicate that different subjects have different feelings and evaluations of this emotional visualization. As long as the difference is within a reasonable range, this emotional visualization also has practical value, and has the ability to convey or suggest emotions.

Non-invasive Brain Stimulation and Prism Adaptation in Art Constructive Errors of Painting

Introduction: This study aimed to investigate the influence of neglect and the effect of Prism Adaptation (PA) combined with continuous Theta-Burst Transcranial Magnetic Stimulation (cTBS) on the art constructive errors of painting rehabilitation of stroke patients with neglect. Methods: Fourteen patients with neglect and art constructive errors of painting secondary to stroke were randomly assigned to the rehabilitation group and received PA combined with inhibitory protocol of cTBS over the intact parietal cortex; the control group received PA combined with sham cTBS for 2 weeks in 10 daily sessions. Patients have assessed for art constructive errors of painting in Figure Copying Test (FCT), and Coloring Test (CT) before and after the intervention. Art constructive errors of painting were classified into omission, deformation, size, neglect of warm colors, and perseveration of errors. Neglect was evaluated using the Line Bisection task (LBT), Figure Copying Test (FCT), and Coloring Test (CT). Results: All patients showed significant improvement in art constructive errors of painting (measured using pattern of painting’ errors in Figure Copying Test and Coloring Test), and neglect (measured using LBT, FCT, and CT) (p<0.05). Omission, neglect of warm colors, and deformation were the most frequent errors. Conclusion: Neglect and rehabilitation influences the painting system in stroke patients. Both approaches improved art constructive errors of painting and neglect symptoms.

Development of an Autonomous Robotics Platform for Road Marks Painting Using Laser Simulator and Sensor Fusion Technique

SUMMARY The design and experimental works of an autonomous robotic platform for road marks painting are presented in this paper as the first autonomous system of its kind. The whole system involves two main sub-systems, namely: an autonomous mobile robot navigation system which is used for recognizing the roads and estimating the position of road marks, and automatic road marks painting system that is attached to the mobile robot platform to control the spray of the paint on the road’s surface. The experimental results show the capability of the proposed system to perform the task of autonomous road marks painting with accuracy of ±10 cm.