• Title/Summary/Keyword: 모션 시스템

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Sensor Fusion for Motion Capture System (모션 캡쳐 시스템을 위한 센서 퓨전)

  • Jeong, Il-Kwon;Park, ChanJong;Kim, Hyeong-Kyo;Wohn, KwangYun
    • Journal of the Korea Computer Graphics Society
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    • v.6 no.3
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    • pp.9-15
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    • 2000
  • We Propose a sensor fusion technique for motion capture system. In our system, two kinds of sensors are used for mutual assistance. Four magnetic sensors(markers) are attached on the upper arms and the back of the hands for assisting twelve optical sensors which are attached on the arms of a performer. The optical sensor information is not always complete because the optical markers can be hidden due to obstacles. In this case, magnetic sensor information is used to link discontinuous optical sensor information. We use a system identification techniques for modeling the relation between the sensors' signals. Dynamic systems are constructed from input-output data. We determine the best model from the set of candidate models using the canonical system identification techniques. Our approach is using a simple signal processing technique currently. In the future work, we will propose a new method using other signal processing techniques such as Wiener or Kalman filter.

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System for Transmitting Army Hand Signals Using Motion Sensors (모션 센서를 이용한 군대 수신호 전송 시스템)

  • Shin, Geon;Jeon, Jaechol;Jeon, Minho;Choi, Sukwon;Kim, Iksu
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.10
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    • pp.331-338
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    • 2016
  • In this paper, we propose a system for transmitting army hand signals using motion sensors. The proposed system consists of a squad commander device, squad member devices, and a server. The squad command device and squad member device have been implemented using a micro arduino, an accelerometer sensor, and a gyroscope sensor, and the server has been implemented using a Rasberry Pi 3. Because the devices are made in the form of band, they are lightweight and portable. The proposed system can transmit the hand signals through vibration in conditions of poor visibility. We have designed and implemented the squad member device to be able to recognize four military hand signals. Through experiments, the proposed system have shown 88.82% of correct recognition. In conclusion, we expect to increase effectiveness of army operations and survival rate of soldiers.

Implementation of Efficient Indoor Emotion Lighting Control System based on Bluetooth (블루투스 기반의 효율적인 실내 감성조명 제어 시스템 구현)

  • Jo, Eun-Ja;Lin, Chi-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.207-213
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    • 2014
  • In this paper, we propose Bluetooth based on efficient indoor-emotion-lighting control system. The proposed Bluetooth based on indoor-emotion-lighting control system was designed to be automatically controlled by the motion sensor light and using a Bluetooth module may be controlled to light up or mobile PC, wall pad. In addition, It was designed the LED lighting On/Off control the environment according to Humidity, the temperature, illumination, motion sensors. System based on the bluetooth is automatic control possible using the illumination sensor, and by selecting the desired lighting partial control can be designed. The experimental efficiency results of the proposed indoor-emotion-lighting control system were designed to provide an internal environment adapted to a resident, were able to maximize the energy savings, have reduced power consumption than the traditional simple On/Off control system.

Experimental Verification of Effectiveness of Stabilization Control System for Mobile Surveillance Robot (기동형 경계로봇 안정화 시스템의 실험적 검증)

  • Kim, Sung-Soo;Lee, Dong-Youm;Kwon, Jeong-Joo;Park, Sung-Ho
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.35 no.4
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    • pp.359-365
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    • 2011
  • A mobile surveillance robot is defined as a surveillance robot system that is mounted on a mobile platform and is used to protect public areas such as airports or harbors from invaders. The mobile surveillance robot that is mounted on a mobile platform consists of a gun module, a camera system module, an embedded control system, and AHRS (Attitude and Heading Reference System). It has two axis control systems for controlling its elevation and azimuth. In order to obtain stable images for targeting invaders, this system requires a stabilizer to compensate any disturbance due to vehicle motion. In this study, a virtual model of a mobile surveillance robot has been created and ADAMS/Matlab simulations have been performed to verify the suitability of the proposed stabilization algorithm. Further, the suitability of the stabilization algorithm has also been verified using a mock-up of the mobile surveillance robot and a 6-DOF (Degree Of Freedom) motion simulator.

Design of a Motion Recognition System for the Realistic Biathlon Simulator System (실감형 바이애슬론 시뮬레이터를 위한 동작 인식 시스템 설계)

  • Kim, Cheol-min;Lee, Min-tae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.396-399
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    • 2018
  • In this paper, we propose a motion recognition system for identification and interaction with simulator used in the realistic biathlon simulator. The proposed system tried to improve the motions data which is obstructed by the obstacles or overlapping joints and the motion due to the fast motion in the process of recognizing the various motion patterns in the biathlon. In this paper, we constructed a multi-camera motion recognition system based on IoT devices, and then we applied a skeletal area interpolation method for normal motion identification. We designed a system that can increase the recognition rate of motion from the biathlon. The proposed system can be applied to the analysis of snow sports motion and it will be used to develop realistic biathlon simulator system.

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Documentation of Intangible Cultural Heritage Using Motion Capture Technology Focusing on the documentation of Seungmu, Salpuri and Taepyeongmu (부록 3. 모션캡쳐를 이용한 무형문화재의 기록작성 - 국가지정 중요무형문화재 승무·살풀이·태평무를 중심으로 -)

  • Park, Weonmo;Go, Jungil;Kim, Yongsuk
    • Korean Journal of Heritage: History & Science
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    • v.39
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    • pp.351-378
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    • 2006
  • With the development of media, the methods for the documentation of intangible cultural heritage have been also developed and diversified. As well as the previous analogue ways of documentation, the have been recently applying new multi-media technologies focusing on digital pictures, sound sources, movies, etc. Among the new technologies, the documentation of intangible cultural heritage using the method of 'Motion Capture' has proved itself prominent especially in the fields that require three-dimensional documentation such as dances and performances. Motion Capture refers to the documentation technology which records the signals of the time varing positions derived from the sensors equipped on the surface of an object. It converts the signals from the sensors into digital data which can be plotted as points on the virtual coordinates of the computer and records the movement of the points during a certain period of time, as the object moves. It produces scientific data for the preservation of intangible cultural heritage, by displaying digital data which represents the virtual motion of a holder of an intangible cultural heritage. National Research Institute of Cultural Properties (NRICP) has been working on for the development of new documentation method for the Important Intangible Cultural Heritage designated by Korean government. This is to be done using 'motion capture' equipments which are also widely used for the computer graphics in movie or game industries. This project is designed to apply the motion capture technology for 3 years- from 2005 to 2007 - for 11 performances from 7 traditional dances of which body gestures have considerable values among the Important Intangible Cultural Heritage performances. This is to be supported by lottery funds. In 2005, the first year of the project, accumulated were data of single dances, such as Seungmu (monk's dance), Salpuri(a solo dance for spiritual cleansing dance), Taepyeongmu (dance of peace), which are relatively easy in terms of performing skills. In 2006, group dances, such as Jinju Geommu (Jinju sword dance), Seungjeonmu (dance for victory), Cheoyongmu (dance of Lord Cheoyong), etc., will be documented. In the last year of the project, 2007, education programme for comparative studies, analysis and transmission of intangible cultural heritage and three-dimensional contents for public service will be devised, based on the accumulated data, as well as the documentation of Hakyeonhwadae Habseolmu (crane dance combined with the lotus blossom dance). By describing the processes and results of motion capture documentation of Salpuri dance (Lee Mae-bang), Taepyeongmu (Kang seon-young) and Seungmu (Lee Mae-bang, Lee Ae-ju and Jung Jae-man) conducted in 2005, this report introduces a new approach for the documentation of intangible cultural heritage. During the first year of the project, two questions have been raised. First, how can we capture motions of a holder (dancer) without cutoffs during quite a long performance? After many times of tests, the motion capture system proved itself stable with continuous results. Second, how can we reproduce the accurate motion without the re-targeting process? The project re-created the most accurate motion of the dancer's gestures, applying the new technology to drew out the shape of the dancers's body digital data before the motion capture process for the first time in Korea. The accurate three-dimensional body models for four holders obtained by the body scanning enhanced the accuracy of the motion capture of the dance.

Cartoon Style Video Generation Using Physical Motion Analysis (물리적 운동 분석을 이용한 만화 스타일의 비디오 생성)

  • Lee, Sun-Young;Yoon, Jong-Chul;Lee, In-Kwon
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10a
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    • pp.195-196
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    • 2007
  • 우리는 비디오의 모션을 전통적인 애니메이션과 같은 스타일로 변환하는 시스템을 제안한다. 우리의 시스템은 비디오의 물리적인 상황에 맞게 자연스러운 변형을 손쉽게 적용할 수 있는 새로운 비디오의 만화화 방법이다. 선택된 비디오 오브젝트의 운동량, 운동방향, 힘과 같은 물리적인 요인들을 분석하여 물리적으로 타당한 변형을 적용함으로써 자연스러운 효과를 적용한다는 것이 장점이다.

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Implementation of Motion Analysis System based on Inertial Measurement Units for Rehabilitation Purposes (재활훈련을 위한 관성센서 기반 동작 분석 시스템 구현)

  • Kang, S.I.;Cho, J.S.;Lim, D.H.;Lee, J.S.;Kim, I.Y.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • v.7 no.2
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    • pp.47-54
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    • 2013
  • In this paper, we present an inertial sensor-based motion capturing system to measure and analyze whole body movements. This system implements a wireless AHRS(attitude heading reference system) we developed using a combination of rate gyroscope, accelerometer and magnetometer sensor signals. Several AHRS modules mounted on segments of the patient's body provide the quaternions representing the patient segments's orientation in space. We performed 3D motion capture using the quaternion data calculated. And a method is also proposed for calculating three-dimensional inter-segment joint angle which is an important bio-mechanical measure for a variety of applications related to rehabilitation. To evaluate the performance of our AHRS module, the Vicon motion capture system, which offers millimeter resolution of 3D spatial displacements and orientations, is used as a reference. The evaluation resulted in a RMSE of 2.56 degree. The results suggest that our system will provide an in-depth insight into the effectiveness, appropriate level of care, and feedback of the rehabilitation process by performing real-time limbs or gait analysis during the post-stroke recovery process.

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A Tracking Algorithm to Certain People Using Recognition of Face and Cloth Color and Motion Analysis with Moving Energy in CCTV (폐쇄회로 카메라에서 운동에너지를 이용한 모션인식과 의상색상 및 얼굴인식을 통한 특정인 추적 알고리즘)

  • Lee, In-Jung
    • The KIPS Transactions:PartB
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    • v.15B no.3
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    • pp.197-204
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    • 2008
  • It is well known that the tracking a certain person is a vary needed technic in the humanoid robot. In robot technic, we should consider three aspects that is cloth color matching, face recognition and motion analysis. Because a robot technic use some sensors, it is many different with the robot technic to track a certain person through the CCTV images. A system speed should be fast in CCTV images, hence we must have small calculation numbers. We need the statistical variable for color matching and we adapt the eigen-face for face recognition to speed up the system. In this situation, motion analysis have to added for the propose of the efficient detecting system. But, in many motion analysis systems, the speed and the recognition rate is low because the system operates on the all image area. In this paper, we use the moving energy only on the face area which is searched when the face recognition is processed, since the moving energy has low calculation numbers. When the proposed algorithm has been compared with Girondel, V. et al's method for experiment, we obtained same recognition rate as Girondel, V., the speed of the proposed algorithm was the more faster. When the LDA has been used, the speed was same and the recognition rate was better than Girondel, V.'s method, consequently the proposed algorithm is more efficient for tracking a certain person.

A Implementation of User Exercise Motion Recognition System Using Smart-Phone (스마트폰을 이용한 사용자 운동 모션 인식 시스템 구현)

  • Kwon, Seung-Hyun;Choi, Yue-Soon;Lim, Soon-Ja;Joung, Suck-Tae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.396-402
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    • 2016
  • Recently, as the performance of smart phones has advanced and their distribution has increased, various functions in existing devices are accumulated. In particular, functions in smart devices have matured through improvement of diverse sensors. Various applications with the development of smart phones get fleshed out. As a result, services from applications promoting physical activity in users have gotten attention from the public. However, these services are about diet alone, and because these have no exercise motion recognition capability to detect movement in the correct position, the user has difficulty obtaining the benefits of exercise. In this paper, we develop exercise motion-recognition software that can sense the user's motion using a sensor built into a smart phone. In addition, we implement a system to offer exercise with friends who are connected via web server. The exercise motion recognition utilizes a Kalman filter algorithm to correct the user's motion data, and compared to data that exist in sampling, determines whether the user moves in the correct position by using a DTW algorithm.