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A RGB-HSI Conversion Based Model to Map the Colour Perception into Audio Equivalent to Assist Visually Impaired Persons

机译:基于RGB-HSI转换的模型,可将颜色感知映射为等效于辅助视力障碍者的音频

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The Cognitive learning process of a human being normally begins with sensory inputs. This process of learning gets hampered in case of persons with one or more perceptual disability. Vision being one of the most important perception, maximum learning happens through it. The absence of vision in humans is often supported by Tactile or Auditory perception during the cognitive learning process. Colour identification by a visually impaired person using such sensory substitution still remains a challenge for researchers. This paper discusses a RGB-HSI based mathematical model supported by experimental studies to perceive colours via auditory substitution. The Colour space transformation from {R, G, B} to {H, S, I} is used to establish a mapping from colour to sound, using hue values. The experimental results indicate that this model provides auditory perception as an effective substitute in identifying colours by visually impaired learners.
机译:人的认知学习过程通常从感觉输入开始。在患有一种或多种知觉障碍的人的情况下,这种学习过程会受到阻碍。视觉是最重要的知觉之一,通过它可以实现最大程度的学习。在认知学习过程中,人的视力缺乏通常受到触觉或听觉感知的支持。视障人士使用这种感官替代进行颜色识别仍然是研究人员面临的挑战。本文讨论了基于RGB-HSI的数学模型,该模型得到了实验研究的支持,可以通过听觉替代感知颜色。从{R,G,B}到{H,S,I}的颜色空间转换用于使用色相值建立从颜色到声音的映射。实验结果表明,该模型提供了听觉感知,作为视力障碍学习者识别颜色的有效替代品。

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