• Proceedings of the Korean Society of Computer Information Conference
• /
• 2013.01a
• /
• pp.63-65
• /
• 2013

본 논문에서는 가속도센서와 자이로센서를 통해 측정된 값을 무선 통신을 이용하여 스마트폰으로 전달하여 실시간으로 모션을 분석하는 스마트폰 실시간 모션 분석 알고리즘을 제안한다. 3축 가속도 센서의 실시간 모션 분석과 중력가속도를 사용한 모션 분석의 경우에는 장소나 높이 또는 주변의 자력에 따라 정확한 값을 획득하여 분석하기 어려운 점이 있다. 이에 본 논문에서는 가속도 센서와 자이로 센서를 통하여 보다 정밀한 모션 분석을 하였으며, 이를 이용하여 모션을 실시간으로 분석하여 활용하면 스포츠와 의학 등 다양한 분야에서 활용할 수 있을 것이다.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.12
• /
• pp.585-588
• /
• 2015

The technical challenge of 3D image display using the wireless sensor were applied to variable areas and scopes. This techniques need to very accurate location and speed informations and recognitions to moving objects. The tracking challenges of the moving objects location that combined 3D location and speed sensor were applied to sports and healthcare areas. This areas seek to the accuracy and collections and tightly related to image display and analysis techniques. In this paper, We developed the 3D motion display that can be monitor moving objects on the 3D virtual space. For this works, we constructed the database that collected informations through 9-axis sensor and demonstrated the result of 3D motion display on the Window based environments.

• Proceedings of the KIEE Conference
• /
• 2005.07d
• /
• pp.2546-2548
• /
• 2005

본 논문에서는 무인항공기의 비행제어시스템 개발 및 성능분석을 위한 HILS(Hardware-in-the-Loop-Simulation) 시스템의 구축을 제안한다. 제안한 HILS 시스템은 실시간 시뮬레이션 컴퓨터(dSPACE DS1005), 3축 모션테이블, 자세 센서, 지상통제장치(GCS; Ground Control Station), 비행제어컴퓨터(FCC; Flight Control Computer)로 구성된다. 실제 신호와 유사한 신호를 발생시키기 위한 실시간 시뮬레이션 컴퓨터는 dSPACE가 담당하며, 이 신호는 비행운동을 재현을 위한 3축 모션테이블을 동작시키게 된다. 모션테이블 상에 위치하는 자세센서 값과 GCS의 명령은 FCC의 입력으로 사용된다. 구현된 HILS 시스템을 이용하여 UAV의 제어알고리즘 및 자세센서 성능 검증을 수행하였다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.12
• /
• pp.2595-2600
• /
• 2012

In this study, we propose the new interface system for the disabled and old people who do not well using electronic equipment that is used physical switch interface system. The proposed new interface system is consisted of speech and motion recognition system. Speech recognition system is mike in the headset, and motion recognition system is 3-axis accelerometer in the headset. In order to verify the usefulness of the proposed system, we make an experiment on new interface.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.39 no.2
• /
• pp.179-185
• /
• 2015

Although an accelerometer is a sensor that measures acceleration, it cannot be used by itself to measure the acceleration when the orientation of the sensor changes. This paper introduces a Kalman filter for the estimation of a sensor acceleration based on a six-axis inertial sensor (i.e., a three-axis accelerometer and three-axis gyroscope). The novelty of the proposed Kalman filter lies in the fact that its state vector includes not only the tilt angle variable but also the sensor acceleration. Thus, the filter can explicitly estimate the latter with a high accuracy. The accuracy of acceleration estimates were validated experimentally under three different dynamic conditions, using an optical motion capture system. It could be concluded that the performance of the proposed Kalman filter was comparable to that of the state-of-the-art estimation algorithm employed by the Xsens MTw. The proposed algorithm may be more suitable than inertial/magnetic sensor-based algorithms for various applications adopting six-axis inertial sensors.

• Journal of Internet Computing and Services
• /
• v.11 no.1
• /
• pp.129-141
• /
• 2010

In this paper, we present a wearable intelligent device based on multi-sensor for monitoring human activity. In order to recognize multiple activities, we developed activity recognition algorithms utilizing an image sensor and a 3-axis accelerometer sensor. We proposed a grid?based optical flow method and used a SVM classifier to analyze data acquired from multi-sensor. We used the direction and the magnitude of motion vectors extracted from the image sensor. We computed the correlation between axes and the magnitude of the FFT with data extracted from the 3-axis accelerometer sensor. In the experimental results, we showed that the accuracy of activity recognition based on the only image sensor, the only 3-axis accelerometer sensor, and the proposed multi-sensor method was 55.57%, 89.97%, and 89.97% respectively.

• Journal of Internet Computing and Services
• /
• v.15 no.4
• /
• pp.33-42
• /
• 2014

Hand-signal is an effective communication means in the situation where voice cannot be used for expression especially for soldiers. Vision-based approaches using cameras as input devices are widely suggested in the literature. However, these approaches are not suitable for soldiers that have unseen visions in many cases. in addition, existing special-glove approaches utilize the information of fingers only. Thus, they are still lack for soldiers' hand-signal recognition that involves not only finger motions, but also additional information such as the rotation of a hand. In this paper, we have designed and implemented a new recognition system for six military hand-signal motions, i. e., 'ready', 'move', quick move', 'crawl', 'stop', and 'lying-down'. For this purpose, we have proposed a finger-recognition method and motion-recognition methods. The finger-recognition method discriminate how much each finger is bended, i. e., 'completely flattened', 'slightly flattened', 'slightly bended', and 'completely bended'. The motion-recognition algorithms are based on the characterization of each hand-signal motion in terms of the three axes. Through repetitive experiments, our system have shown 91.2% of correct recognition.

• Smart Media Journal
• /
• v.1 no.4
• /
• pp.18-26
• /
• 2012

The increase of the number of smartphone applications has enforced the importance of new user interface emergence and has raised the interest of research in the convergence of multiple sensors. In this paper, we propose a method for the convergence of acceleration, magnetic and gyro sensors to recognize the gesture from motion of user smartphone. The proposed method first obtain the 3D orientation of smartphone and recognize the gesture of hand motion by using HMM(Hidden Markov Model). The proposed method for the representation for 3D orientation of smartphone in spherical coordinate was used for quantization of smartphone orientation to be more sensitive in rotation axis. The experimental result shows that the success rate of our method is 93%.

• Proceedings of the KIPE Conference
• /
• 2017.07a
• /
• pp.62-63
• /
• 2017

본 논문에서는 휠체어의 탑승자의 구동력과 BLDCM(Brushless DC Motor) 에서 출력되는 보조력인 전기적인 구동력을 동시에 사용하는 탈부착형 하이브리드 휠체어의 동작제어방식을 제안한다. 기존에는 휠체어에 토크센서를 부착하여, 토크센서 신호의 피이드백을 통하여 보조력을 발생하는 방식이 적용되고 있지만, 제안된 방식에서는 토크센서의 사용없이 사용자의 동작을 간접적으로 검출하는 방식을 제안한다. 사용자가 휠체어의 핸드림을 조작할 때, 발생하는 휠체어의 동작을 3축 가속도 센서를 통해 모션을 예측하고, 이에 대응하는 구동력을 보조하는 PAS(Power Assist System)을 설계하였다. 사용자의 동작 예측을 위해, 3축 가속도 센서의 신호를 조합하여 전진과 후진 및 정지 상태 신호를 예측하는 방식을 시뮬레이션과 실험을 통해 증명하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.10a
• /
• pp.1372-1374
• /
• 2015

본 논문에서는 농구 경기에서의 대표적 자세 중 Standing shoot, Jump shoot, Pass, Dribble, Lay-up shoot, 총 5가지 자세를 인식하기 위해 각 자세와 3축 가속도 값과의 상관관계를 보여주고 있다. 스마트폰에 내장되어 있는 가속도 센서로부터 데이터를 생성해주는 어플리케이션인 Sensor log를 활용하여 얻은 3축 가속도 값으로 수직, 수평축과 3축 가속도의 크기를 구해 Instance로 사용하였다. 위 데이터는 대표적인 데이터 마이닝 도구인 Weka tool을 이용하여 각 모션과 데이터 값의 상관관계를 확인하였고, 실험 결과 10-fold에서 평균 59.8%를 보였으나 Training set과 Test set의 결과 80.8%를 보였다.