• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.91-92
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• 2018

As we begin to develop into an aging society, a lot of safety issues are emerging recently. Also, laws and products related to the safety and welfare of the elderly are being released. Therefore, this paper investigated the safety of the elderly. In this paper, we propose a system that can detect motion such as falling or slipping of elderly people by using gyro sensor and accelerometer to solve these factors.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.655-656
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• 2023

반려동물 웨어러블 시장의 성장함에 따라 반려동물의 행동 패턴을 측정하고 분석할 수 있는 센서데이터가 활용되고 있다. 본 논문에서는 반려동물 수면 패턴 모니터링을 위한 행동 분류 모델을 제안한다. 6축 센서 데이터를 활용한 가속도 및 자이로센서 데이터를 입력 데이터로 사용한다. 제안된 모델은 ResNet을 통해 시간에 따라 가속도 및 자이로센서 데이터의 특징을 추출한 후 LSTM을 사용하여 시계열 정보를 고려한 행동 분류를 수행한다. 이러한 과정을 통해 정확한 행동 패턴 분석이 가능하게 되며 반려동물의 건강 관리 및 수면 질 개선에 기여할 것으로 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.346-349
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• 2019

본 연구를 통해 당구를 처음 접하는 사람들이 혼자서도 올바른 스트로크 자세를 연습할 수 있도록 하기 위한 시스템을 설계하였다. 6 축 자이로 센서를 활용하여 가속도, 각속도 센서 값을 안드로이드와 BLE 통신으로 수집하고 그 값으로 스트로크의 속도와 각도, 방향을 계산하여 유사율을 나타낸다. 또한 터치센서에 스트로크 시에 타격감을 주기 위하여 모바일의 진동을 울려주며, 센서에 터치 된 값을 이용하여 사용자가 실제 타격한 당구공의 타점을 모바일에서 실시간으로 보여준다. 동시에 앞서 계산된 유사율을 그래프와 수치상으로 확인할 수 있다. 모범 자세와 비교한 피드백을 통하여 올바른 스트로크 자세를 익힐 수 있도록 도와준다.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.235-242
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• 2021

Recently, many human activity recognition(HAR) researches using smartphone sensor data have been studied. HAR can be utilized in various fields, such as life pattern analysis, exercise measurement, and dangerous situation detection. However researches have been focused on recognition of basic human behaviors or efficient battery use. In this paper, exercising activities performed indoors and outdoors were defined and recognized. Data collection and pre-processing is performed to recognize the defined activities by SVM, random forest and gradient boosting model. In addition, the recognition result is determined based on voting class approach for accuracy and stable performance. As a result, the proposed activities were recognized with high accuracy and in particular, similar types of indoor and outdoor exercising activities were correctly classified.

• Journal of the Korea Society of Computer and Information
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• v.19 no.8
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• pp.119-127
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• 2014

TIn this paper, Hemiplegic patients have gait characteristics different from normal persons. This paper presents a posture measuring and display system reflecting their characteristics. Patients wear 3 sensor modules on thigh, calf and foot. To enhance measuring precision of each sensor module, 3D accelerometer and 3D gyroscope are combined. Gait posture is displayed in 3D by modeling thigh, calf and foot as connected 3D objects based on data of the sensor modules. For convenience in inspecting unusual gait posture of hemiplegic patients, any view angle of the 3D display can be selected. In addition, the current gait phase of RLA(Rancho Los Amigos) gait cycle is determined and displayed in real-time by utilizing the posture information, The phase sequence and duration of each phase can be used in evaluating gait quality of patients.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.9-17
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• 2020

Human activity recognition(HAR) using smartphones is a hot research topic in computational intelligence. Smartphones are equipped with a variety of sensors. Fusing the data of these sensors could enable applications to recognize a large number of activities. However, these devices have fewer resources because of the limited number of sensors available, and feature selection and classification methods are required to achieve optimal performance and efficient feature extraction. This paper proposes a smartphone-based HAR scheme according to these requirements. The proposed method in this paper extracts time-domain features from acceleration sensors, gyro sensors, and barometer sensors, and recognizes activities with high accuracy by applying KDA and SVM. This approach selects the most relevant feature of each sensor for each activity. Our comparison results shows that the proposed system outperforms previous smartphone-based HAR systems.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.501-503
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• 2015

최근, 웨어러블 디바이스의 발달로 센서를 활용한 애플리케이션의 분야가 점점 확대되고 있다. 웨어러블 디바이스의 가속도, 자이로 센서를 이용한 걷기, 달리기 등의 행위 판단이 가능해졌다. 이를 바탕으로 본 논문에서는 스마트폰과 웨어러블 디바이스, 두 가지를 활용해 신체 및 손의 특정 행동을 수직, 수평 성분 추출과 데이터마이닝 툴을 이용해 분석한다. 이를 통해 특정 행동의 패턴 판단을 방법을 제시한다.

• Current Research on Agriculture and Life Sciences
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• v.32 no.2
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• pp.79-84
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• 2014

The precision aerial application of agricultural unmanned helicopters has become a new paradigm for small farms with orchards, paddy, and upland fields. The needs of agricultural applications require easy and affordable control systems. Recent developments of MEMS technology based on inertial sensors and high speed DSP have enabled the fabrication of low-cost attitude system. Therefore, this study evaluates inertial MEMS sensors for estimating the attitude of an agricultural unmanned helicopter. The accuracies and errors of gyro and acceleration sensors were verified using a pendulum system. The true motion values were calculated using a theoretical estimation and absolute encoder measurement of the pendulum, and then the sensor output was compared with reference values. When comparing the sensor measurements and true values, the errors were determined to be 4.32~5.72%, 3.53~6.74%, and 3.91~4.16% for the gyro rate and x-, z- accelerations, respectively. Thus, the measurement results confirmed that the inertial sensors are effective for establishing an attitude and heading reference system (AHRES). The sensors would be constructed in gimbals for the estimating and proving attitude measurements in the following paper.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.37-38
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• 2015

최근 안드로이드 4.0 이상 버전에서 저전력 블루투스(Bluetooth Low Energy) 기능이 지원되면서, 다양한 응용사례가 나타나고 있다. 이러한 BLE 프로토콜을 활용하는 Sensor-Tag IoT 센서노드를 활용하면 스마트홈, 웨어러블, 스마트카, 생활밀착 서비스, 스마트에너지, 산업 및 환경분야에서 다양한 스마트폰 앱을 개발할 수 있다. 또한, BLE-스택(Stack)TM 소프트웨어를 사용하면, 라이센서 걱정없이 펌웨어 소스코드의 개발 및 업데이트가 가능하다. 따라서, 다양한 센서가 장착된 IoT Sensor 노드를 통하여, 습도/온도/가속도/지자기/자이로 등의 데이터를 수집하여 활용할 수 있다. 이에 본 논문에서는 "저전력 센서 노드를 사용한 IoT 서비스 설계 프레임워크"를 제안한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1309-1316
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• 2018

Cattle estrus detection system based on Internet of Things is designed and implemented by using Arduino pro-mini, gyroscope, acceleration sensor, bluetooth master and slave module. The implemented system measures cattle's moving and the measured data are transmitted to the computer connected to RX module by bluetooth TX module. They are plotted in 2-dimensional graph on the computer monitor and the number of transition at each sensor axis are calculated from the graph. The detected and gathered data from the system are analyzed by the proposed algorithm to decide which cows are in the estrus or not. The method to apply bluetooth scatternet is shown and the proposed system can be used to increase the success rate of artificial insemination in normal estrus by detecting the cow's behaviors such as the number of jumping. In this paper, the implemented cattle behavior detecting the system(TX module) are strapped on cattle's leg and it measures the cattle behaviors for determining where that a cattle is estrus or not by the proposed algorithm.