• 한국광학회지
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• 제19권3호
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• pp.175-181
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• 2008

상용의 전자기 가속도 센서에 비해 신호의 안정성 면에서 우수하고 가격이 저렴하며 제작이 비교적 용이한 필름 격자를 이용한 광세기 방식의 새로운 가속도 센서를 제안하고 이를 제작하였다. 외부의 진동에 반응하는 외팔보(cantilever beam)에 서로 주기가 어긋난 2장의 진폭 변조용 필름 격자가 나란히 부착되어 이 필름격자를 지나가는 출력광이 외부진동에 따라 서로 다른 위상으로 변조된다. 이 두 필름격자에 의한 출력의 위상각을 이용하여 출력광 신호의 위상을 구하고, 위상 연속화 과정을 거쳐 외팔보의 변위를 계산하여 가속도 환산 관계식을 통해 가속도를 측정하였다. 본 논문의 필름 격자를 이용한 광섬유 가속도 센서는 대형 구조물 및 토목 구조물의 모니터링에 알맞은 7 Hz 이하의 저주파 대역에서 사용 가능하도록 설계하였다. 이 광섬유 가속도 센서는 광섬유를 이용하였으므로 전자기적 노이즈가 예상되는 곳에서도 구조물의 진동 측정에 적합하다.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1421-1429
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• 2017

Human activity recognition has been studied using various sensors and algorithms. Human activity recognition can be divided into sensor based and vision based on the method. In this paper, we proposed an activity recognition system using acceleration sensor and gyroscope sensor in smartphone among sensor based methods. We used Deep Belief Network (DBN), which is one of the most popular deep learning methods, to improve an accuracy of human activity recognition. DBN uses the entire input set as a common input. However, because of the characteristics of different time window depending on the type of human activity, the RBMs, which is a component of DBN, are configured hierarchically by combining them from different time windows. As a result of applying to real data, The proposed human activity recognition system showed stable precision.

• 한국정보통신학회논문지
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• 제19권8호
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• pp.1825-1830
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• 2015

일부 보행자의 경우 보행자 신호등이 적색임에도 불구하고 무단횡단을 하거나 차도에 내려서서 보행 신호를 기다리기도 한다. 이럴 경우 자칫하면 교통사고로 이어질 수 있다. 이에 적외선 센서를 이용하여 보행자가 차도로 진입할 경우 경고 안내 방송을 해주는 방식으로 채택해왔으나, 이 경우 교차로의 곡선형 횡단보도에는 설치가 어렵다. 본 논문에서는 카메라의 영상 검지 방식을 사용하여 보행자를 검지하는 방법에 대해 제안한다. 보행철주 상단에 설치된 카메라를 이용하여 이미지를 획득하고, 획득한 이미지를 이용하여 보행자 검지구간을 설정한다. 또한, 획득한 이미지에 대해 소벨( Sobel) 영상 처리 방식을 이용하여 변환하고 변환한 이미지를 다른 이미지와 비교하여 보행자 검지방법을 선택하였다. 이 영상 검지 방식을 사용하면 곡선형 횡단보도에서 보행자를 검지하는데 효과적이다.

• International Journal of Internet, Broadcasting and Communication
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• 제11권4호
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• pp.71-75
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• 2019

Sleep apnea is a disease that causes various complications, and the polysomnography is expensive and difficult to measure. The purpose of this study is to develop an unrestricted wearable monitoring system so that patients can be examined in a familiar environment. We used a method to detect sleep apnea events and to determine sleep satisfaction by non-constrained method using SpO2 measurement sensor and 3-axis acceleration sensor. Heart rate and SpO2 were measured at the finger using max30100. After acquiring the SpO2 data of the user in real time, the apnea measurement algorithm was used to transmit the number of apnea events of the user to the mobile phone using Bluetooth (HC-06) on the wrist. Using the three-axis acceleration sensor (mpu6050) attached to the upper body, the number of times of tossing and turning during sleep was measured. Based on this data, this algorithm evaluates the patient's tossing and turning during sleep and transmits the data to the mobile phone via Bluetooth. The power source used 9 volts battery to operate Arduino UNO and sensors for portability and stability, and the data received from each sensor can be used to check the various degree between sleep apnea and sleep tossing and turning on the mobile phone. Through thisstudy, we have developed a wearable sleep apnea measurement system that can be easily used at home for the problem of low sleep efficiency of sleep apnea patients.

• 대한임베디드공학회논문지
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• 제17권1호
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• pp.19-24
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• 2022

Through the development and dissemination of embedded devices, studies that may help patients are rapidly emerging. Recently, as wearable devices have become one of the ways to diagnose diseases in daily life, they are being studied as a way to assist severely ill patients to lead their daily lives. Among them, a method of detecting and giving signals to detect and solve symptoms using acceleration sensors to diagnose Parkinson's disease is being studied, and there is no study to measure and analyze various factors that can affect Parkinson's disease. To solve them, we designed and developed a wearable device, P-Band, with various sensors capable of diagnosing related symptoms, including acceleration sensors capable of diagnosing Parkinson's disease. In this paper, the overall structure of the P-Band and the description and operation method of the measurable sensors are presented. In addition, it was confirmed that the symptoms of Parkinson's patients could be determined complexly through the results measured in actual patients.

• 센서학회지
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• 제3권1호
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• pp.19-25
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• 1994

KOH와 같은 이방성 식각수용액를 사용하여 직각모양의 볼록한 가장자리를 식각할 때, 언더컷팅에 의해 가장 자리가 뭉개어지는 현상이 나타난다. 그래서 이 현상을 방지하기 위해 mass 패턴을 수정할 필요가 있어 보상법에 관한 실험을 하였다. 가속도센서 소자공간을 고려할 경우 정사각형의 보상구조로 mass를 보상하는 것이 적당하다는 결과를 얻었다. 이 결과를 기초로, SDB 웨이퍼를 이용하여 사각뿔 형태의 mass 보상된 실리콘 압저항형 가속도센서를 제조하였다.

• 한국신뢰성학회지:신뢰성응용연구
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• 제6권1호
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• pp.37-50
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• 2006

The accelerated life tests of the catalytic gas sensor were performed at three different gas concentration conditions. From the test data, the power-Weibull model was estimated and the acceleration factor between test condition 25%LEL(Lowe Explosive Limit) and use condition 5%LEL was about 3 according to this acceleration model. Using this acceleration factor, life test specification for qualifying that B10 lifetime of the catalytic gas sensor meets the goal lifetime (5 years) was designed.

• 전기학회논문지
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• 제67권7호
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• pp.871-877
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• 2018

In this paper, we propose a triple nested PID control scheme for stable hovering of a quadrotor and propose a complementary filter based sensor fusion technique to improve the performance of attitude, altitude and velocity measurement. The triple nested controller has a structure in which a double nested attitude controller that has the angular velocity PD controller in inner loop and the angular PI controller in outer loop, is nested in a velocity control loop to enable stable hovering even in the case of disturbance. We also propose a sensor fusion technique by applying a complementary filter in order to reduce the noise and drift error included in the acceleration and gyro sensor and to measure the velocity by fusing image, gyro, and acceleration sensor. In order to verity the performance, we applied the proposed control and measurement scheme to hovering control of quadrotor.

• 제어로봇시스템학회논문지
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• 제5권8호
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• pp.961-968
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• 1999

In this paper we handle a system that transform sensor data to sensor information. Sensor informations from redundant accelerometers are manipulated to represent the configuration of objects carrying sensors. Basic sensor unit of the proposed systme is composed of 3 accelerometers that are aligned along x-y-z coordination axes of motion. To refine the sensor information, at first the sensor data are fused by geometrical optimization to reduce the variance of sensor information. To overcome the error caused from inexact alignment of each sensor to the coordination system, we propose a calibration technique that identifies the transformation between the coordinate axes and real sensor axes. The calibration technique make the sensor information approach real value. Also, we propose a technique that decomposes the accelerometer data into motion acceleration component and gravity acceleration component so that we can get more exact configuration of objects than in the case of raw sensor data. A set of experimental results are given to show the usefulness of the proposed method as well as the experiments in which the proposed techniques are applied to human body motion capture.

• 로봇학회논문지
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• 제12권3호
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• pp.258-262
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• 2017

In this paper, we propose a new collision detection algorithm for human-robot collaboration. We use an IMU sensor located at the tip of the manipulator and the kinematic behavior of the manipulator to detect the unexpected collision between the robotic manipulator and environment. Unlike other method, the developed algorithm uses only the kinematic relationship between the manipulator joint and the end effector. Therefore, the collision estimation signal is not affected by the error of the dynamics model. The proposed collision detection algorithm detects the collision by comparing the estimated acceleration of the end effector derived from the position, velocity and acceleration trajectories of the robot joints with the actual acceleration measured by the sensor. In simulation, we compare the performance of our method with the conventional Residual Observer (ROB). Our method is less sensitive to the load variation because of the independency on the dynamic modeling of the manipulator.