• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.551-552
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• 2021

본 논문에서는 촬영한 피부 영상(얼굴, 손 등)을 이용한 생체신호(맥박, 호흡, 혈압, 체온 등) 측정 S/W 기술을 제안한다. 기존의 생체신호 측정 기술은 다양한 센서(PPG, 압력 센서, 혈압계, 체온계 등)가 탑재된 측정 장치를 이용하여 상태를 측정하고 이를 진단하는 연구들이 진행되어 왔다. 각 각의 생체신호를 측정하기 위해서는 별도로 구비된 측정 장치들을 이용하여 개별적으로 생체신호를 측정하고 확인하여야 한다. 제안된 기술은 스마트 디바이스에 생체신호 측정 S/W의 설치만으로 카메라로 촬영한 피부 영상의 피부 관심 영역에서 계산된 색상 데이터를 이용하여 다양한 생체신호를 언제 어디서나 실시간으로 측정할 수 있으며, 생체신호 측정 성능 평가 결과 맥박수 2.63%, 호흡수 5.98%, 이완기 혈압 2.48%, 수축기 혈압 5.23% 및 체온 0.25%의 오차율이 계산되었다.

• 농업기술회보
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• v.51 no.5
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• pp.19-20
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• 2014

농업인들이 병해충을 방제하기 위해 농약을 살포하는 과정에서 농약이 손이나 피부에 묻거나 호흡을 통해 마시게 된다. 최근 농작업 중 농약을 살포하는 농업인에 대한 건강이 주요 관심사가 되고 있다. 농약으로부터 농업인의 건강을 보호하기 위한 제도와 앞으로 해야 할 일이 무엇인지를 알아보고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.672-678
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• 2020

Ultra-high-speed images that accurately depict the minute movements of objects have become common as low-cost and high-performance cameras that can film at high speeds have emerged. In this paper, the proposed method removes unexpected noise contained in images after input at high speed, and then extracts an area of interest that can represent personal information, such as skin areas, from the image in which noise has been removed. In this paper, noise generated by abnormal electrical signals is removed by applying bilateral filters. A color model created through pre-learning is then used to extract the area of interest that represents the personal information contained within the image. Experimental results show that the introduced algorithms remove noise from high-speed images and then extract the area of interest robustly. The approach presented in this paper is expected to be useful in various applications related to computer vision, such as image preprocessing, noise elimination, tracking and monitoring of target areas, etc.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.7
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• pp.350-356
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• 2017

With increasing attention to real-time body detection, active research is being conducted on human body detection based on skin color. Despite this, most existing skin detection methods utilize static skin color models and have detection rates in images, in which colors are distorted. This study proposed a method of detecting the skin region using a fuzzy classification of the gradient map, saturation, and Cb and Cr in the YCbCr space. The proposed method, first, creates a gradient map, followed by a saturation map, CbCR map, fuzzy classification, and skin region binarization in that order. The focus of this method is to rigorously detect human skin regardless of the lighting, race, age, and individual differences, using features other than color. On the other hand,the borders between these features and non-skin regions are unclear. To solve this problem, the membership functions were defined by analyzing the relationship between the gradient, saturation, and color features and generate 108 fuzzy rules. The detection accuracy of the proposed method was 86.35%, which is 2~5% better than the conventional method.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1485-1492
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• 2021

In this study, in order to secure an educational environment for the development of skin beauty subjects using VR based on the learners' awareness of VR, a total of 105 learners' perception of VR, VR experience elements, and the development of VR-using skin beauty subjects, questions about general characteristics were conducted using an online questionnaire. As a result of the survey through frequency analysis, factor analysis, and correlation analysis, the higher the awareness of VR, the higher the educational performance and immersion (p<.01). It was found that awareness and interest were high (p<.001). As for the correlation, the higher the VR-using skin care experience factor, the higher the perception of VR-using skin beauty course development. Therefore, it was confirmed that it is necessary to develop and educate skin beauty subjects using VR in line with learners' expectations and the 4th industrial revolution era. Therefore, in follow-up studies, it is considered that it is necessary to develop and operate VR-based skin beauty subjects.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.146-149
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• 2009

Face detection and recognition in real-time video constitutes one of the recent topics in the field of computer vision. In this paper, we propose face detection and tracking algorithm using the skin color and haar-like feature in real-time video sequence. The proposed algorithm further includes color space to enhance the result using haar-like feature and skin color. Experiment results reveal the real-time video processing speed and improvement in the rate of tracking.

• 건강소식
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• v.11 no.9 s.106
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• pp.2-6
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• 1987

한국해원의료보험조합이 피보험자 가족(피부양자)에 대한 건강검사사업을 실시하고 있다. 승선할 때마다 건강검사를 받게 되는 선원들과는 달리 특별히 검사를 받을 수 있는 기회가 없는 가족들의 건강관리에 관심을 가진 해원의보는 여유 있는 재원을 이용하여 전국 각 시도에서 35세 이상 50세 미만의 피부양자 17,000여명을 대상으로 건협의 이동검진버스를 활용해 검사 사업을 추진키로 했다. 전국적으로 퍼져있는 조합원 가족의 주소를 수집하는 것이 가장 어려웠다는 이번 사업은 검사대상자들의 호응도에 따라 연차적으로 확대 · 정착시켜나갈 예정이라고 한다. 이번 검사는 관할 보건소나 구청 등에 검진버스가 현지 출장해 구역 내의 주민들을 1차 검사하는 것을 원칙으로 하고 있다. 기자는 이번 건강검사사업의 첫 테이프를 끊은 서울지부 이동 검사팀을 따라 강서구 내 선원가족의 검사현장의 강서구청을 찾아가 그들의 검사과정, 호응도 등을 지켜봤다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.863-865
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• 2018

본 논문에서는 피부영상을 이용한 호흡 반영 음원 조율 방법을 제안한다. 얼굴 영상으로부터 호흡 신호를 추정하기 위해 ROI(Region of Interest)를 지정하고 지정된 영역의 색상 체계를 RGB에서 YCgCo로 변환한다. 피부 관심 영역으로부터 계산된 Cg색상 데이터 평균값에 필터링을 적용하여 호흡 신호를 검출한다. 검출된 호흡 신호를 통하여 사용자의 호흡 상태를 반영한 음원 조율방법을 제안하고, 이를 구현한 응용 프로그램을 소개한다. 구현한 응용프로그램의 성능평가를 위해 피험자 15명을 대상으로 블라인드 테스트와 MOS 평가방법을 사용하였으며, 실험 결과 9명의 피실험자가 호흡을 반영한 음원과 반영하지 않은 음원에 대한 차이를 느꼈다. 또한, MOS 평가방법으로 두 음원의 선호도를 조사한 결과 총 5점 만점 중 호흡을 반영한 음원이 4점, 원음이 3.6점을 얻었으며 이를 통해 피실험자들이 호흡이 반영된 음원을 선호한다는 결과를 확인하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4508-4515
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• 2014

Real-time body detection has been researched actively. On the other hand, the detection rate of color distorted images is low because most existing detection methods use static skin color model. Therefore, this paper proposes a new method for detecting the skin color region using a gradient map and saturation features. The basic procedure of the proposed method sequentially consists of creating a gradient map, extracting a gradient feature of skin regions, noise removal using the saturation features of skin, creating a cluster for extraction regions, detecting skin regions using cluster information, and verifying the results. This method uses features other than the color to strengthen skin detection not affected by light, race, age, individual features, etc. The results of the detection rate showed that the proposed method is 10% or more higher than the traditional methods.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.439-445
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• 2021

Low-cost, ultra-high-speed cameras, made possible by the development of image sensors and small displays, can be very useful in image processing and pattern recognition. This paper introduces an algorithm that corrects irregular lighting from a high-speed image that is continuously input with a slight time interval, and which then obtains an exposed skin color region that is the area of interest in a person from the corrected image. In this study, the non-uniform lighting effect from a received high-speed image is first corrected using a frame blending technique. Then, the region of interest is robustly obtained from the input high-speed color image by applying an elliptical skin color distribution model generated from iterative learning in advance. Experimental results show that the approach presented in this paper corrects illumination in various types of color images, and then accurately acquires the region of interest. The algorithm proposed in this study is expected to be useful in various types of practical applications related to image recognition, such as face recognition and tracking, lighting correction, and video indexing and retrieval.