Angel's Girl for Blind Painters: an Efficient Painting Navigation System Validated by Multimodal Evaluation Approach
Hang Liu, Menghan Hu, Yuzhen Chen, Qingli Li, Guangtao Zhai, Simon X., Yang, Xiao-Ping Zhang, Xiaokang Yang

TL;DR
This paper introduces a novel painting navigation system designed to assist visually impaired individuals in painting, utilizing multimodal cues, QR code positioning, and real-time guidance, validated through experimental evaluation with promising results.
Contribution
It presents an integrated painting navigation system combining cognitive and guidance modules, with innovative human-computer interaction and positioning methods for aiding blind artists.
Findings
System achieves 89% completion degree in painting tasks.
High acceptance among blind and sighted testers based on thermal face curves.
74% of brush trajectories are classified as excellent or good.
Abstract
For people who ardently love painting but unfortunately have visual impairments, holding a paintbrush to create a work is a very difficult task. People in this special group are eager to pick up the paintbrush, like Leonardo da Vinci, to create and make full use of their own talents. Therefore, to maximally bridge this gap, we propose a painting navigation system to assist blind people in painting and artistic creation. The proposed system is composed of cognitive system and guidance system. The system adopts drawing board positioning based on QR code, brush navigation based on target detection and bush real-time positioning. Meanwhile, this paper uses human-computer interaction on the basis of voice and a simple but efficient position information coding rule. In addition, we design a criterion to efficiently judge whether the brush reaches the target or not. According to the…
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Taxonomy
TopicsTactile and Sensory Interactions · Visual Attention and Saliency Detection · Video Surveillance and Tracking Methods
