• 제목/요약/키워드: Sensor fusion

검색결과 815건 처리시간 0.026초

키넥트와 압력센서를 이용한 무구속 수면자세 인식 시스템의 기초 연구 (A Basic Study on The Sleep Posture Recognition System Using Kinect and Pressure Sensor)

  • 나예지;이상준;왕창원;정화영;호종갑;민세동
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2016년도 춘계학술발표대회
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    • pp.653-655
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    • 2016
  • 본 논문에서는 키넥트와 압력센서를 이용하여 수면자의 수면자세를 인식할 수 있는 수면자세 모니터링 시스템을 제안하였다. 기존 수면 모니터링 시스템은 장시간 착용해야 하는 불편함과 구속감으로 인해 수면의 질을 저하시킬 우려가 있다. 이러한 점을 해소하기 위해 압력센서와 키넥트 카메라를 이용하여 무구속 저비용의 효율적인 시스템을 구현하였고, 수면 매트형식으로 제작하여 그 유효성을 평가하였다. 본 연구에서 제안한 수면자세 모니터링 시스템은 실시간으로 수면자세를 감지하고 사용자의 수면시간 및 상태를 파악하여 건강한 수면습관을 들이는 방법을 권고할 수 있다. 향후에는 수집된 데이터를 이용하여 웰니스 및 헬스케어 모바일 응용 서비스로의 활용이 가능할 것이다.

2단계 히든마코프 모델을 이용한 제스쳐의 성능향상 연구 (Improvement of Gesture Recognition using 2-stage HMM)

  • 정훤재;박현준;김동한
    • 제어로봇시스템학회논문지
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    • 제21권11호
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    • pp.1034-1037
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    • 2015
  • In recent years in the field of robotics, various methods have been developed to create an intimate relationship between people and robots. These methods include speech, vision, and biometrics recognition as well as gesture-based interaction. These recognition technologies are used in various wearable devices, smartphones and other electric devices for convenience. Among these technologies, gesture recognition is the most commonly used and appropriate technology for wearable devices. Gesture recognition can be classified as contact or noncontact gesture recognition. This paper proposes contact gesture recognition with IMU and EMG sensors by using the hidden Markov model (HMM) twice. Several simple behaviors make main gestures through the one-stage HMM. It is equal to the Hidden Markov model process, which is well known for pattern recognition. Additionally, the sequence of the main gestures, which comes from the one-stage HMM, creates some higher-order gestures through the two-stage HMM. In this way, more natural and intelligent gestures can be implemented through simple gestures. This advanced process can play a larger role in gesture recognition-based UX for many wearable and smart devices.

퍼지-슬라이딩모드 제어기를 이용한 외바퀴 로봇의 자세제어 및 방향제어 (Attitude and Direction Control of the Unicycle Robot Using Fuzzy-Sliding Mode Control)

  • 이재오;한성익;한인우;이석인;이장명
    • 제어로봇시스템학회논문지
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    • 제18권3호
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    • pp.275-284
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    • 2012
  • This paper proposes an attitude and direction control of a single wheel balanced robot. A unicycle robot is controlled by two independent control laws: the mobile inverted pendulum control method for pitch axis and the reaction wheel pendulum control method for roll axis. It is assumed that both roll dynamics and pitch dynamics are decoupled. Therefore the roll and pitch dynamics are obtained independently considering the interaction as disturbances to each other. Each control law is implemented by a controller separately. The unicycle robot has two DC motors to drive the disk for roll and to drive the wheel for pitch. Since there is no force to change the yaw direction, the present paper proposes a method for changing the yaw direction. The angle data are obtained by a fusion of a gyro sensor and an accelerometer. Experimental results show the performance of the controller and verify the effectiveness of the proposed control algorithm.

자세 측정용 GPS/INS통합 시스템 개발 (A Development of Attitude GPS/INS Integration System)

  • 오천균;이재호;서흥석;성태경
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 D
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    • pp.1984-1986
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    • 2001
  • In order to provided continuous solutions, latest developing navigation systems tend to integrate GPS receiver with INS or DR. Using the GPS carrier-phase measurements, an attitude GPS receiver with three antennas obtain the 3-dimensional attitude such as roll, pitch, and heading as well as position and velocity. With these angle measurements, in the attitude GPS/INS integrated system, attitude or gyro errors can be directly compensated. In this paper, we develop an integrated navigation system that combines attitude GPS receiver with INS. The performance of real-time integrated navigation system is determined by not only the implements of integration filter but also the synchronization of measurements. To meet these real-time requirements, the navigation software is implemented in multi-tasking structure in this paper. We also employ time-synchronization technique in the multi-sensor fusion. Experimental results show that the performance of the attitude GPS/INS integrated system is consistent even when cycle-slip occurs in carrier-phase measurements.

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폴리머를 이용한 CIS(CMOS Image Sensor) 디바이스용 웨이퍼 레벨 접합의 warpage와 신뢰성 (A Reliability and warpage of wafer level bonding for CIS device using polymer)

  • 박재현;구영모;김은경;김구성
    • 마이크로전자및패키징학회지
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    • 제16권1호
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    • pp.27-31
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    • 2009
  • 본 논문에서는 웨이퍼 레벨 기술을 이용한 CIS용 폴리머 접합 기술을 연구하고 접합 후의 warpage 분석과 개별 패키지의 신뢰성 테스트를 수행하였다. 균일한 접합 높이를 유지하기 위하여 glass 웨이퍼 상에 dam을 형성하고 접합용 폴리머 층을 patterning하여 Si과 glass 웨이퍼의 접합 테스트를 수행하였다. Si 웨이퍼의 접합온도, 접합 압력 그리고 접합 층이 낮을수록 warpage 결과가 감소하였으며 접합시간과 승온 시간이 짧을수록 warpage 결과가 증가하는 것을 확인하였다. 접합 된 웨이퍼를 dicing 하여 각 개별 칩 단위로 TC, HTC, Humidity soak의 신뢰성 테스트를 수행하였으며 warpage 결과가 패키지의 신뢰성 결과에 미치는 영향은 미비한 것으로 확인되었다.

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압전형 에너지 수확장치를 위한 통합 해석환경의 적용 및 검증 (Application and Verification of Fully-Integrated Design Environment for Piezoelectric Energy Harvester)

  • ;;한승오
    • 센서학회지
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    • 제22권5호
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    • pp.364-368
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    • 2013
  • Vibrational energy harvester based on piezoelectricity has been expected to be the dominant energy harvesting technology due to the advantages of high conversion efficiency, light weight and small size, night operation, etc. Its commercialization is just around the corner but the integration with power management electronics should be solved in advance. In this paper, therefore, fully-integrated design environment for piezoelectric energy harvesting systems is presented to assist co-design with the power management electronics. The proposed design environment is capable of analyzing the energy harvester including the package-induced damping effects and simulating the device and its power management electronics simultaneously. When the developed design environment was applied to the fabricated device, the simulated resonant frequency matched well with the experimental result with a difference of 2.97% only. Also, the complex transient response was completed in short simulation time of 3,001 seconds including the displacement distribution over the device geometry. Furthermore, a full-bridge power management circuit was modeled and simulated with the energy harvester simultaneously. Therefore the proposed, fully-integrated design environment is accurate and fast enough for the contribution on successful commercialization of piezoelectric energy harvester.

레이저 유도 시스템을 이용한 AGV의 경로추적 (Path Tracking for AGV using Laser guidance system)

  • 박정제;김정민;도주철;김성신;배선일
    • 로봇학회논문지
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    • 제5권2호
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    • pp.120-126
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    • 2010
  • This paper presents to study the path tracking method of AGV(autonomous guided vehicle) which has a laser guidance system. An existing automatic guided vehicles(AGVs) which were able to drive on wired line only had a automatic guidance system. However, the automatic guidance systems that those used had the high cost of installation and maintenance, and the difficulty of system change according to variation of working environment. To solve such problems, we make the laser guidance system which is consisted of a laser navigation and gyro, encoder. That is robust against noise, and flexible according to working environment through sensor fusion. The laser guidance system can do a perfect autonomous driving. However, the commercialization of perfect autonomous driving system is difficult, because the perfect autonomous driving system must recognize the whole environment of working space. Hence, this paper studied the path tracking of AGV using laser guidance system without wired line. The path tracking method is consisted of virtual path generation method and driving control method. To experiment, we use the fork-type AGV which is made by ourselves, and do a path tracking experiments repeatedly on same experimental environment. In result, we verified that proposed system is efficient and stable for actual fork-type AGV.

The Comparison of the SIFT Image Descriptor by Contrast Enhancement Algorithms with Various Types of High-resolution Satellite Imagery

  • Choi, Jaw-Wan;Kim, Dae-Sung;Kim, Yong-Min;Han, Dong-Yeob;Kim, Yong-Il
    • 대한원격탐사학회지
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    • 제26권3호
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    • pp.325-333
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    • 2010
  • Image registration involves overlapping images of an identical region and assigning the data into one coordinate system. Image registration has proved important in remote sensing, enabling registered satellite imagery to be used in various applications such as image fusion, change detection and the generation of digital maps. The image descriptor, which extracts matching points from each image, is necessary for automatic registration of remotely sensed data. Using contrast enhancement algorithms such as histogram equalization and image stretching, the normalized data are applied to the image descriptor. Drawing on the different spectral characteristics of high resolution satellite imagery based on sensor type and acquisition date, the applied normalization method can be used to change the results of matching interest point descriptors. In this paper, the matching points by scale invariant feature transformation (SIFT) are extracted using various contrast enhancement algorithms and injection of Gaussian noise. The results of the extracted matching points are compared with the number of correct matching points and matching rates for each point.

Building DSMs Generation Integrating Three Line Scanner (TLS) and LiDAR

  • Suh, Yong-Cheol;Nakagawa , Masafumi
    • 대한원격탐사학회지
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    • 제21권3호
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    • pp.229-242
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    • 2005
  • Photogrammetry is a current method of GIS data acquisition. However, as a matter of fact, a large manpower and expenditure for making detailed 3D spatial information is required especially in urban areas where various buildings exist. There are no photogrammetric systems which can automate a process of spatial information acquisition completely. On the other hand, LiDAR has high potential of automating 3D spatial data acquisition because it can directly measure 3D coordinates of objects, but it is rather difficult to recognize the object with only LiDAR data, for its low resolution at this moment. With this background, we believe that it is very advantageous to integrate LiDAR data and stereo CCD images for more efficient and automated acquisition of the 3D spatial data with higher resolution. In this research, the automatic urban object recognition methodology was proposed by integrating ultra highresolution stereo images and LiDAR data. Moreover, a method to enable more reliable and detailed stereo matching method for CCD images was examined by using LiDAR data as an initial 3D data to determine the search range and to detect possibility of occlusions. Finally, intellectual DSMs, which were identified urban features with high resolution, were generated with high speed processing.

Forest Fire Damage Assessment Using UAV Images: A Case Study on Goseong-Sokcho Forest Fire in 2019

  • Yeom, Junho;Han, Youkyung;Kim, Taeheon;Kim, Yongmin
    • 한국측량학회지
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    • 제37권5호
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    • pp.351-357
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    • 2019
  • UAV (Unmanned Aerial Vehicle) images can be exploited for rapid forest fire damage assessment by virtue of UAV systems' advantages. In 2019, catastrophic forest fire occurred in Goseong and Sokcho, Korea and burned 1,757 hectares of forests. We visited the town in Goseong where suffered the most severe damage and conducted UAV flights for forest fire damage assessment. In this study, economic and rapid damage assessment method for forest fire has been proposed using UAV systems equipped with only a RGB sensor. First, forest masking was performed using automatic elevation thresholding to extract forest area. Then ExG (Excess Green) vegetation index which can be calculated without near-infrared band was adopted to extract damaged forests. In addition, entropy filtering was applied to ExG for better differentiation between damaged and non-damaged forest. We could confirm that the proposed forest masking can screen out non-forest land covers such as bare soil, agriculture lands, and artificial objects. In addition, entropy filtering enhanced the ExG homogeneity difference between damaged and non-damaged forests. The automatically detected damaged forests of the proposed method showed high accuracy of 87%.