• The Journal of the Korea Contents Association
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• v.6 no.4
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• pp.69-80
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• 2006

Interest about baby health increased into promise of all life health on society. Prevention disease or treatment about baby health is important, but it is important that first of grasping baby state through correct diagnosis. In this paper, diagnosis method for baby ocular inspection of Oriental medicine applying image processing technology is presented. For this, extracting baby frontal face image based on skin color, five sensory organs extraction and extraction of myeongdang based on position information is proposed. Finally, usefulness of method Proposed by an experiment world prove.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.257-263
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• 2005

If baby disease not treats at early, case that cause problem in health hereafter much exists. Specially, because baby expresses own inexpedience by crying, parents or practitioner's is not apt to grasp. Therefore, In this paper, I wish to develop system for analyze if disease is in some region to analyze face and baby cry that organism signal appears intensive for baby disease diagnosis. In this paper, I wish to propose methodology that analyze organism signal that appear in face of whole baby organism signal analysis system. For this, I necessary region binary input baby face picture and to draw necessary five sensory organ and Myungdang region in baby disease diagnosis. Finally, the usefulness of this paper is verified by several experiments.

• The KIPS Transactions:PartB
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• v.14B no.7
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• pp.503-512
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• 2007

An infant of a baby child who haven't communication skills through a language expresses their intention or baby condition as generally crying. Among these things, it is important to show a baby condition because their disease miss diagnosis time or remain to decide an exact diagnosis result too hard. For this, in this paper, we are going to develop system which decides where to be not good body point by analysing their face color and crying sound. Specifically, in this paper, we are going to act for baby heart diseases by doing feature extraction for their face region color and crying sound. To embody, we are going to present diagnosis method and compare analyze their crying sound a stand child, a different diseases child and a baby heart diseases child through each analyzed element. And also, we are going to extract matters to be attended to baby heart diseases through experiment and prepare objective index and an accuracy of baby heart diseases diagnosis result.