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首页> 外文期刊>International journal of distance education technologies >Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM
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Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM

机译：中医眼部精神诊断远程教育系统关键技术研究

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摘要

Spirit diagnosing is an important theory in TCM (Traditional Chinese Medicine), by which a TCM doctor can diagnose a patient's body state. But this theory is complicated and difficult to master simply learned from books. To further the theory and skill of spirit diagnosing, in this paper, the authors propose a remote education system that can accept videos from a user and give the user an auto-diagnosed spirit. The key technology in this system is eye feature computation in spirit diagnosing, for which rules describing "the spirit" (spirit in TCM refers to the human s mental state which reflects the one s general physical condition) state are mined by the quantitative features regarding the human eyes. With videos capturing eye condition during a short period, a set of eye features are extracted. On this basis, attribute intervals of the eye feature space is generated by CA1M (class-attribute interdependence maximization). Several of the candidate rules are then mined by the association rule based on the cloud model. Finally, three complementary rule-pruning methods are modified and combined to trim the candidate rules. The cross validation test for mined rules has an average accuracy of 93%, which shows the high performance of the proposed method.
机译：精神诊断是中医的重要理论，中医可以通过它诊断患者的身体状况。但是这种理论很复杂，很难从书本上学到，很难掌握。为了进一步发展精神诊断的理论和技巧，作者提出了一种远程教育系统，该系统可以接受来自用户的视频并为用户提供自动诊断的精神。该系统的关键技术是精神诊断中的眼睛特征计算，为此，通过以下方面的定量特征来挖掘描述“精神”（中医的精神是指反映一个人的一般身体状况的人的精神状态）状态的规则。人眼。通过视频在短时间内捕获眼睛状况，可以提取一组眼睛特征。在此基础上，通过CA1M（类-属性相互依赖最大化）生成眼睛特征空间的属性间隔。然后，基于云模型通过关联规则挖掘几个候选规则。最后，对三种互补的规则修剪方法进行了修改和组合以修剪候选规则。挖掘规则的交叉验证测试的平均准确度为93％，这表明了该方法的高性能。

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