• Annals of Clinical Neurophysiology
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• 제13권1호
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• pp.13-20
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• 2011

Neuro-ophthalmological findings are common and occasionally prominent features in movement disorders. Accordingly, careful evaluation of the ocular motor functions may provide valuable information in early detection of the diseases and monitoring of the progression. Furthermore, accurate assessment of the abnormal ocular motor findings aids in understanding the pathophysiology and mechanisms of the movement disorders, and in their differential diagnosis. Ocular motility examination should include bedside evaluation and laboratory recording of the fixational abnormalities, saccades, smooth pursuit, the vestibulo-ocular reflex, optokinetic nystagmus, and vergence eye movements. In this review, we will discuss various ocular motor findings in ataxia and parkinsonian syndromes, and hyperkinetic movement disorders.

• 융합신호처리학회논문지
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• 제11권4호
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• pp.289-297
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• 2010

본 논문에서는 음성인식을 위한 음성구간 검출과정에서 유입될 수 있는 동적인 음향에너지 이외에 화자의 입술움직임 영상신호까지 확인함으로써 외부 음향잡음이 음성인식 대상으로 오인식되는 것을 방지하기 위한 한 가지 방법이 제시된다. 우선, 연속적인 영상이 PC용 영상카메라를 통하여 획득되고 그 입술움직임 여부가 식별된다. 다음으로, 입술움직임 영상신호 데이터는 공유메모리에 저장되어 음성인식 프로세서와 공유한다. 한편, 음성인식의 전처리 단계인 음성구간 검출과정에서 공유메모리에 저장되어진 데이터를 확인함으로써 화자의 발성에 의한 음향에너지인지의 여부가 입증된다. 최종적으로, 음성인식기와 영상처리기를 연동시켜 실험한 결과, 영상카메라에 대면해서 발성하면 음성인식 결과의 출력에 이르기까지 연동처리가 정상적으로 진행됨을 확인하였고, 영상카메라에 대면치 않고 발성하면 연동처리시스템이 그 음성인식 결과를 출력치 못함을 확인하였다. 또한, 오프라인하의 입술움직임 초기 특정값 및 템플릿 초기영상을 온라인하에서 추출된 입술움직임 초기특정값 및 템플릿 영상으로 대체함으로써 입술움직임 영상 추적의 변별력을 향상시켰다. 입술움직임 영상 추적과정을 시각적으로 확인하고 실시간으로 관련된 패러미터를 해석하기 위해 영상처리 테스트베드를 구축하였다, 음성과 영상처리 시스템의 연동결과 다양한 조명환경 하에서도 약 99.3%의 연동율을 나타냈다.

• 재활복지공학회논문지
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• 제9권1호
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• pp.67-72
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• 2015

팔의 사용이 자유롭지 못한 장애인들을 위하여 발의 움직임 검출을 통하여 로봇 팔을 제어할 수 있는 시스템을 구현하였다. 발의 움직임에 대한 영상을 얻기 위하여 양쪽 발 앞에 두 대의 카메라를 설치하였으며, 획득된 영상에 대해 LabView 기반 Vision Assistant를 이용하여 다중 관심영역을 설정한 후, 좌/우영역내에서 검출된 좌/우, 상/하 엣지를 기반으로 발의 움직임을 검출하였다. 좌/우 두발의 영상으로부터 좌/우 엣지와 상/하 엣지 검출 수에 따라 6관절 로봇 팔을 제어할 수 있는 제어용 데이터를 시리얼 통신을 통해 전송한 후 로봇 팔을 발로 상/하, 좌/우 제어할 수 있는 시스템을 구현하였다. 실험 결과 0.5초 이내의 반응속도와 88% 이상의 동작 인식률을 얻을 수 있었다.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권8호
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• pp.506-509
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• 2003

This paper describes the possibility of analyzing gait pattern from the changes of the lower leg electrical impedance. This impedance was measured by the four-electrode method. Two current electrodes were applied to the thigh, knee, and foot., and two potential electrodes were applied to the lateral, medial, and posterior position of human leg. The correlation coefficients of the joint angle and the impedance change from human leg movement was obtained using a electrogoniometer and 4ch impedance measurement system developed in this study. We found the optimal electrode position for knee and ankle joint movements based on high correlation coefficient, least interference, and maximum magnitude of impedance change. The correlation coefficients of the ankle, knee, and the hip movements were -0.913, 0.984 and 0.823, respectively. From such features of the human leg impedance, it has been made clear that different movement patterns exhibit different impedance patterns and impedance level. This system showed feasibility that lower leg movement could be easily measured by impedance measurement system with a few skin-electrodes.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.294-298
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• 2020

We was constructed of the spread movement with tremor layer point by the tractile-dot structure that was analyzed the squirm quake forms of the perception movement on the atom liquid. Algorithm of squirm quake forms was used to move the spread tremor on the atom state. To detect the tiny signal, we compared the association average value of the squirm quake form on the atom state. Their subject were issued the valuation standard and perception movement for basic atom condition by the spread tremor. We take to detect the tiny scores of average during perception movement side from the spread tremor that magnetic condition get to a variation of the Ma-αAVG and Ma-αMAX-MIN with 6.25±0.35 units, that electric condition get to a variation for the El-αAVG and El-αMAX-MIN with 5.68±0.42 units. The spread tremor was to investigate the capacity of the tremor form, to uptake a spread data of spread tremor level on the CCPL that was denoted the calm-classification form by the spread perception level system. As the squirm quake forms was demanded by the spread tremor signal, max-average values of perception movement were checked the spread position for association average data. We make mention of squirm quake forms for a signal association and a quake data signal of relation system.

• Journal of Animal Science and Technology
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• 제65권2호
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• pp.441-458
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• 2023

The poultry industry, which produces excellent sources of protein, suffers enormous economic damage from diseases. To solve this problem, research is being conducted on the early detection of infection according to the behavioral characteristics of poultry. The purpose of this study was to evaluate the potential of a non-movement behavior observation method to detect sick chickens. Forty 1-day-old Ross 308 males were used in the experiments, and an isolator equipped with an Internet Protocol (IP) camera was fabricated for observation. The chickens were inoculated with Salmonella enterica serovar Gallinarum A18-GCVP-014, the causative agent of fowl typhoid (FT), at 14 days of age, which is a vulnerable period for FT infection. The chickens were continuously observed with an IP camera for 2 weeks after inoculation, chickens that did not move for more than 30 minutes were detected and marked according to the algorithm. FT infection was confirmed based on clinical symptoms, analysis of cardiac, spleen and liver lesion scores, pathogen re-isolation, and serological analysis. As a result, clinical symptoms were first observed four days after inoculation, and dead chickens were observed on day six. Eleven days after inoculation, the number of clinical symptoms gradually decreased, indicating a state of recovery. For lesion scores, dead chickens scored 3.57 and live chickens scored 2.38. Pathogens were re-isolated in 37 out of 40 chickens, and hemagglutination test was positive in seven out of 26 chickens. The IP camera applied with the algorithm detected about 83% of the chickens that died in advance through non-movement behavior observation. Therefore, observation of non-movement behavior is one of the ways to detect infected chickens in advance, and it appears to have potential for the development of remote broiler management system.

• 인터넷정보학회논문지
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• 제7권4호
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• pp.33-43
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• 2006

본 논문에서는 조영 영상을 받아들여 관상동맥을 효과적으로 추출하는 방법을 소개한다. 혈관 추출에 일반적으로 사용되는 디지털 혈관조영술(DSA : Digital Subtraction Angiography)은 조영제 투입 전에 촬영된 마스크 영상과 조영제 투입 후의 혈관 대비가 나타나는 라이브 영상과의 차이를 이용하여 빠르게 혈관 영역만을 검출하는 방법이다. 그러나 이 방법은 배경의 움직임에 민감하고 두 영상간의 지역적인 배경 명암 분포의 변화에 따라 오 검출이 발생할 수 있다는 단점을 가진다. 따라서 본 논문에서는 배경 텍스쳐의 유사도를 분석하여 움직임의 차이가 가장 작은 영상을 선택함으로써 배경의 움직임에 기인하는 구조적인 문제를 해결하고, 선택된 영상의 지역적 명암 보정을 통해 혈관 영역만을 효과적으로 추출하는 방법을 제안한다. 실험 결과는 제안된 방법이 기존의 방법보다 오 인식률은 감소하고 정확도는 증가함을 보여준다.

• 로봇학회논문지
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• 제13권1호
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• pp.38-44
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• 2018

In this paper, we propose Intelligent Driver Assistance System (I-DAS) for driver safety. The proposed system recognizes safety and danger status by analyzing blind spots that the driver cannot see because of a large angle of head movement from the front. Most studies use image pre-processing such as face detection for collecting information about the driver's head movement. This not only increases the computational complexity of the system, but also decreases the accuracy of the recognition because the image processing system dose not use the entire image of the driver's upper body while seated on the driver's seat and when the head moves at a large angle from the front. The proposed system uses a convolutional neural network to replace the face detection system and uses the entire image of the driver's upper body. Therefore, high accuracy can be maintained even when the driver performs head movement at a large angle from the frontal gaze position without image pre-processing. Experimental result shows that the proposed system can accurately recognize the dangerous conditions in the blind zone during operation and performs with 95% accuracy of recognition for five drivers.

• 한국음향학회지
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• 제26권1호
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• pp.25-31
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• 2007

본 논문은 음성인식을 위한 음성구간 검출과정에서, 음향에너지 이외에도 화자의 입술움직임 영상신호까지 확인하도록 함으로써, 외부의 음향잡음이 음성인식 대상으로 오인식되는 것을 방지하기 위하여 시도한 것이다. 먼저, PC용 화상카메라를 통하여 영상을 획득하고, 입술움직임 여부가 식별된다. 그리고 입술움직임 영상신호 데이터는 공유메모리에 저장되어 음성인식 프로세스와 공유한다. 한편, 음성인식의 전처리 단계인 음성구간 검출과정에서는 공유메모리에 저장되어 있는 데이터를 확인함으로써 사람의 발성에 의한 음향에너지인지의 여부를 확인하게 된다. 음성인식기와 영상처리기를 연동시켜 실험한 결과, 화상카메라에 대면해서 발성하면 음성인식 결과의 출력까지 정상적으로 진행됨을 확인하였고, 화상카메라에 대면하지 않고 발성하면 음성인식 결과를 출력하지 않는 것을 확인하였다. 이는 음향에너지가 입력되더라도 입술움직임 영상이 확인되지 않으면 음향잡음으로 간주하도록 한 것에 따른 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.4908-4922
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• 2019

The popularization of smartphones in recent years has created a rich ground for online-to-offline (O2O) services based on location information. In the process of finding user locations in O2O services, BLE (Bluetooth Low Energy) beacons are widely used because the beacons are economical in many ways. The current BLE method does not specify the direction of user movement, but adding that information could enrich the user experience for various O2O services. This paper proposes a method that identifies the user movement direction through data analysis on data sets generated by a pair of BLE beacons. Also we demonstrate its implementation with examples of services that need the direction information of users in order to show the feasibility of the method proposed.