Calculation of Mahjong Score using AI

T. Kano, Liang Li, N. Ko, Woong Choi
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Abstract

In recent years, declining birth rates and aging populations had become more serious in developed countries such as Europe, the United States, and Asian countries, including Japan. Therefore, in this research, we focused on mahjong, which was effective in preventing dementia. However, it was difficult for beginners and even intermediate players to proceed with the game instantly because mahjong has complicated yaku (hand), and the calculation of scores using them is even more complicated. Therefore, we were developing a mahjong progression support system using computer vision aiming at helping players with dementia who have difficulty in calculating mahjong scores. Since simple learning did not produce results that could be used in the proposed system, we achieved significant results by changing the size of the mahjong tiles in the images to be learned, and the system is now able to calculate mahjong scores from the images of mahjong tiles.
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使用AI计算麻将分数
近年来,在欧美等发达国家和包括日本在内的亚洲国家,出生率下降和人口老龄化问题日益严重。因此,在本次研究中,我们将重点放在了麻将上,麻将在预防痴呆方面是有效的。然而,对于初学者甚至中级玩家来说,很难立即进行游戏,因为麻将有复杂的yaku(手),使用它们计算分数更加复杂。因此,我们正在开发一种使用计算机视觉的麻将进程支持系统,旨在帮助患有痴呆症的玩家计算麻将分数有困难。由于简单的学习并没有产生可以在提议的系统中使用的结果,我们通过改变要学习的图像中的麻将牌的大小取得了显着的结果,并且系统现在能够从麻将牌的图像中计算麻将分数。
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