• Science of Emotion and Sensibility
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• v.22 no.1
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• pp.45-54
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• 2019

Empathy has been observed to be pivotal in enhancing both social relations and the efficiency of task performance. Empathetic interaction has been shown to begin with individuals mirroring each other's facial expressions, vocal tone, actions, and so on. The internal responses of the cardiovascular activity of people engaged in empathetic interaction are also known to be synchronized. This study attempted to objectively and quantitatively define the rules of empathy with regard to the synchronization of cardiac rhythm between persons. Seventy-four subjects participated in the investigation and were paired to imitate the facial expressions of their partner. An electrocardiogram (ECG) measurement was taken as the participants conducted the task. Quantitative indicators were extracted from the heart rhythm pattern (HRP) and the heart rhythm coherence (HRC) to determine the difference of synchronization of heart rhythms between two individuals as they pertained to empathy. Statistical significance was confirmed by an independent sample t-test. The HRP and HRC correlation(r) between persons increased significantly with empathy in comparison to an interaction that was not empathetic. A difference of the standard deviation of NN intervals (SDNN) and the dominant peak frequency decreased. Therefore, significant parameters to evaluate empathy have been proposed through a step-wise discrimination analysis. Empathic interactions may thus be managed and monitored for high quality social interaction and communication.

• Korean Journal of Cognitive Science
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• v.33 no.1
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• pp.51-75
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• 2022

Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation that is able to alter neuronal activity in particular brain regions. Many studies have researched how tDCS modulates neuronal activity and reorganizes neural networks. However it is difficult to conclude the effect of brain stimulation because the studies are heterogeneous with respect to the stimulation parameter as well as individual difference. It is not fully in agreement with the effects of brain stimulation. In particular few studies have researched the reason of variability of brain stimulation in response to time so far. The study investigated individual variability of brain stimulation based on circadian rhythm and chronotype. Participants were divided into two groups which are morning type and evening type. The experiment was conducted by Zoom meeting which is video meeting programs. Participants were sent experiment tool which are Muse(EEG device), tdcs device, cell phone and cell phone holder after manuals for experimental equipment were explained. Participants were required to make a phone in frount of a camera so that experimenter can monitor online EEG data. Two participants who was difficult to use experimental devices experimented in a laboratory setting where experimenter set up devices. For all participants the accuracy of 98% was achieved by SVM using leave one out cross validation in classification in the the effects of morning stimulation and the evening stimulation. For morning type, the accuracy of 92% and 96% was achieved in classification in the morning stimulation and the evening stimulation. For evening type, it was 94% accuracy in classification for the effect of brain stimulation in the morning and the evening. Feature importance was different both in classification in the morning stimulation and the evening stimulation for morning type and evening type. Results indicated that the effect of brain stimulation can be explained with brain state and trait. Our study results noted that the tDCS protocol for target state is manipulated by individual differences as well as target state.

• Proceedings of the Acoustical Society of Korea Conference
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• 1998.06e
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• pp.155-158
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• 1998

본 논문에서는 2차원 평면 배열에서 소자들간의 간섭 영향을 빔 설계 기법을 제안한다. 실제적으로 빔을 구현할 때, 소자간 간섭이 전체 빔 패턴을 변화시키게 되어 성능을 저하시킬 수 도 있다. 따라서 보다 정확하게 빔을 설계하기 위해서는 소자간의 간섭 영향을 고려한 빔 설계 기법이 필요하게 된다. 본 논문에서는 특성을 알고 있는 소자로 구성된 평면 배열에서 다른 소자에 의한 간섭을 예측한 후 이것을 각 소자의 가중치에 포함 시켜 원하는 사양의 빔을 설계할 수 있도록 한다. 빔 설계방법으로는 선형 최소자승법을 이용하여 빔의 부엽준위의 위치와 크기를 변화시키면서 원하는 조건의 빔 가중치를 얻어내는 알고리듬을 도입하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.330-333
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• 2003

본 논문에서는 웨이브릿 변환 영역에 제안한 알고리듬으로 여러 공격에 강인한 워터마크를 삽입하였다. 추출된 워터마크는 정칙화 영상복원에 활용하는 Tikhonov-Miller 처리를 함으로써 워터마크의 유사성 판별을 쉽게 하였다. 제안한 방법의 강인성과 유사성 향상을 실험하기 위해 명암, 크기 변화, 필터링, 잘라내기, 히스토그램 평활화, 손실압축(JPEG, gif)과 같은 영상처리를 하였다. 실험 결과 제안한 방법은 비가시성을 고려한 강인한 워터마크를 삽입할 수 있고 여러 공격에 대해서 더욱 높은 상관 계수로 추출할 수가 있었다.

• Journal of the Institute of Convergence Signal Processing
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• v.7 no.4
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• pp.161-168
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• 2006

In this paper, we propose a method for the pattern inspection of LCD module using the color compensation and pattern matching. The pattern matching is generally used for the inspection method of LCD module at the industry. LCD module has many defections such as the brightness difference of the back light, the optic feature of liquid crystal, the difference of the light penetrated by driving LCD and the color difference by the lighting. The conventional method without the color compensation can not solve these defections and decreases the efficiency of inspecting LCD module. The method proposed to inspect defective badness through the pattern matching after it compensated color difference of the LCD occurred by the various causes. At first, it revises with setting by standard tone of color with the LCD pattern of the reference image. And It perform the preprocessing and pattern matching algorithm on the compensated image. In experiment, we confirmed that this algorithm is useful to detect some defections of LCD module. The proposed methods was easy to detect the faulty product.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06c
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• pp.235-240
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• 1994

모음 검출을 통하여 미리 등록한 단어가 아닌 경우에도 화자를 인식할 수 있도록 특징 파라메터를 개발하고, 실용화가 가능하도록 처리 방법을 간략화한 텍스트 독립 화자 인식 연구를 진행하였다. 이를 위해서, 화자가 발성한 음성에서 모음을 검출하여 화자인식에 사용하는 방법을 제안하였으며, 인식은 각 화자가 발성한 음성 신호에서 모음을 검출한 다음, 검출된 모음의 29 채널의 주파수 에너지를 퍼지값으로 효현한 후, 퍼지 추론을 적용하여 수행하였다. 실험을 위해 모음 검출 알고리듬을 개발하였으며, 화자인식의 특징 파라메터로 29 채널 주파수 에너지를 제안하였는데, 별도의 코드북 없이 사용이 가능하고, 기존의 파라메터에 비해 인식율이 높으면서도 구성 및 계산이 간단한 특징이 있다. 실험결과, 미리 작성된 표준패턴과 동일한 단어를 사용한 텍스트 의존 화자 인식 실험은 95.5% 인식율을 보였고, 표준 패턴과 다른 종류의 단어를 사용한 텍스트 독립 화자인식 실험은 94.2% 인식율을 보이고 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.289-292
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• 2007

An object color identification and classification embedded system realization for uninhabited stock management is presented in this paper. The embedded system is realized by using ultrasonic sensor to extract the object and distance, and detecting binary image from USB CCD camera. The algorithm is identified by comparing the reference pattern with the color pattern of input image, and move to the settled rack at the store. The experimental result leads to use the uninhibited stock management with practice as a robot.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.4
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• pp.16-22
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• 2012

In this paper, we present spiral pattern which suits for optical simulator to calibrate fisheye lens and compensate geometric distortion. Using spiral pattern, we present calibration without mathematical modeling in advance. Proposed spiral pattern used to input image of optical simulator. Using fisheye lens image, we calibrate a fisheye lens by matching geometrically moved dots to corresponding original dots which leads not to need mathematical modeling. Proposed algorithm calibrates using dot matching which matches spiral pattern image dot to distorted image dot. And this algorithm does not need modeling in advance so it is effective. Proposed algorithm is enabled at processing of pattern recognition which has to get the exact information using fisheye lens for digital zooming. And this makes possible at compensation of geometric distortion and calibration of fisheye lens image applying in various image processing.

• Journal of Korea Multimedia Society
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• v.2 no.4
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• pp.400-408
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• 1999

This paper describes a method for making the "disparity pattern" which is basis of image matching with brightness difference; called disparity, between multiple model images, and an algorithm which recognizes hand shape by utilizing the pattern in measuring the distance between a input image and model images. The virtue of the algorithm is that only simple brightness difference calculated from multiple images by managing a whole image as the fundamental processing unit is patterned in two dimensional shape and then is used in the recognition process. Consequently, this method is very useful for other recognition algorithm requiring comparison of large scale image since correlation among multiple model images is applied simultaneously in recognition process.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.3
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• pp.32-40
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• 2009

In order to reduce time-to-market, the demand for fast fault diagnosis has been increased. In this paper, a fault dropping technique with fault candidate ordering and test pattern ordering for fast fault diagnosis is proposed. Experimental results using the full-scanned ISCAS 89 benchmark circuits show the efficiency of the fault dropping technique with fault candidate ordering and test pattern ordering.