• Title/Summary/Keyword: a accelerometer

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Selecting Minimized Input Features for Detecting Automatic Fall Detection Based on NEWFM (낙상 검출을 위한 NEWFM 기반의 최소의 특징입력 선택)

  • Shin, Dong-Kun;Lee, Sang-Hong;Lim, Joon-Shik
    • Journal of Internet Computing and Services
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    • v.10 no.3
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    • pp.17-25
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    • 2009
  • This paper presents a methodology for a fall detection using the feature extraction method based on the neural network with weighted fuzzy membership functions (NEWFM). The distributed non-overlap area measurement method selects the minimized number of input features by removing the worst input features one by one. Nineteen number of wavelet transformed coefficients captured by a triaxial accelerometer are selected as minimized features using the non-overlap area distribution measurement method. The proposed methodology shows that sensitivity, specificity, and accuracy are 95%, 97.25%, and 96.125%, respectively.

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Neural Network-based Real-time End Point Detection Specialized for Accelerometer Signal (신경망을 이용한 실시간 가속도 신호 끝점 검출 방법)

  • Lim, Jong-Gwan;Kwon, Dong-Soo
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.178-185
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    • 2009
  • A signal processing algorithm is proposed for end point detection which is used commonly in accelerometers-based pattern recognition problem. In the conventional method, end points are detected by manual manipulation with an additive button or algorithm based on statistical computation and highpass filtering to cause critical time delay and difficulty for parameters optimization. As an solution, we propose a focused Time Lagged Feedforward Network(TLFN) with respect to a differential signal of acceleration, which is widely applied for time series forecasting. The simple experiment is conducted with handwriting and the detection performance and response characteristic of the proposed algorithm is tested and analyzed.

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Design and Implementation of a User Activity Auto-recognition System based on Multimodal Sensor in Ubiquitous Computing Environment (유비쿼터스 컴퓨팅환경에서의 Multimodal Sensor 기반의 Health care를 위한 사용자 행동 자동인식 시스템 - Multi-Sensor를 이용한 ADL(activities of daily living) 지수 자동 측정 시스템)

  • Byun, Sung-Ho;Jung, Yu-Suk;Kim, Tae-Su;Kim, Hyun-Woo;Lee, Seung-Hwan;Cho, We-Duke
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.21-26
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    • 2009
  • A sensor system capable of automatically recognize activities would allow many potential Ubiquitous applications. This paper presents a new system for recognizing the activities of daily living(ADL) like walking, running, standing, sitting, lying etc. The system based on the state-dependent motion analysis using Tri-Accelerometer and Zigbee tag. Two accelerometers are used for the classification of body and hand activities. Classification of the environment and instrumental activities is performed based on the hand interaction with an object ID using.

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A Study on Analysis Method for Roller Compaction Work (다짐공사에 대한 롤러의 효율적 품질관리 방안 연구)

  • Lee, Soo Min;Lee, Seung Soo;Yu, Sang Hoon;Seo, Jong Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.3
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    • pp.621-627
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    • 2017
  • In this study, GPS (Global Positioning System) is applied to rollers for quality control problems caused by empirical judgment of compaction construction. In addition, database and 3D modeling of location information can eliminate unnecessary compaction or excessive compaction, thereby improving quality and shortening the time. This paper presents a methodology of ICMV (Intelligent Compaction Measurement Values) analysis by designing a intelligent compaction method using an accelerometer. Detailed method of ICMV analysis includes CMV (Compaction Meter Value) analysis which can quickly and conveniently evaluate the compaction of the compacted ground.

Development of the Basic Life Support App Including Chest Compression Feedback (흉부압박 피드백 기능이 포함된 기본소생술 앱 개발)

  • Song, Yeongtak;Kim, Minwoo;Kim, Jinsung;Oh, Jaehoon;Chee, Youngjoon
    • Journal of Biomedical Engineering Research
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    • v.35 no.6
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    • pp.219-226
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    • 2014
  • This study is to develop a basic life support (BLS) app using the android based smartphone and to evaluate the function of the app. Suggested app contains chest compression feedback function, the map of automated external defibrillator (AED), direct emergency call and the basic knowledge of BLS. Using the accelerometer of the smartphone, we implemented a real-time algorithm that estimates the chest compression depth and rate for high quality cardiopulmonary resuscitation (CPR). The accuracy of algorithm was evaluated by manikin experiment. We made contents which were easy to learn the BLS for the layperson and implemented a function that provides the AED location information based on the user's current location. From the manikin experiment, the chest compression depth and rate were no significant differences between the manikin data and the app's feedback data (p > 0.05). Developed BLS app was uploaded on Google Play Store and it was free to download. We expected that this app is useful to learn the BLS for the layperson.

Effects of Angular Velocity Components on Head Vibration Measurements (각속도 성분들이 머리진동 측정치에 미치는 영향)

  • Park Yong Hwa;Cheung Wan Sup
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.1E
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    • pp.7-15
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    • 2005
  • This paper addresses issues encountered in measuring the general, 6-degree-of-freedom motion of a human head, A complete mathematical description for measuring the head motion using the six-accelerometer configured bite-bar is suggested, The description shows that the six-axis vibration cannot be completely obtained without the roll, pitch and yaw angular velocity components, A new method of estimating the three orthogonal (roll, pitch and yaw) angular velocities from the six acceleration measurements is introduced. The estimated angular velocities are shown to enable further quantitative error analysis in measuring the translational and angular accelerations at the head. To make this point clear, experimental results are also illustrated in this paper. They show that when the effects of angular velocities are neglected in the head vibration measurement the maximum percentage errors were observed to be more than $3 \%$ for the angular acceleration of the head and to be close to $5 \%$ for its translational acceleration, respectively. It means that the inclusion of all the angular velocity dependent acceleration components gives more accurate measurement of the head vibration.

A Study on Accident Recognition Using 6-Axis IMU Sensor Module (6축 IMU 센서 모듈을 이용한 사고인지에 관한 연구)

  • Woo, Joo;Jo, So-Hyeon;Kim, Dae-Won;Kim, Gwan-Hyung;Byun, Gi-Sig
    • 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.

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Post-earthquake building safety evaluation using consumer-grade surveillance cameras

  • Hsu, Ting Y.;Pham, Quang V.;Chao, Wei C.;Yang, Yuan S.
    • Smart Structures and Systems
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    • v.25 no.5
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    • pp.531-541
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    • 2020
  • This paper demonstrates the possibility of evaluating the safety of a building right after an earthquake using consumer-grade surveillance cameras installed in the building. Two cameras are used in each story to extract the time history of interstory drift during the earthquake based on camera calibration, stereo triangulation, and image template matching techniques. The interstory drift of several markers on the rigid floor are used to estimate the motion of the geometric center using the least square approach, then the horizontal interstory drift of any location on the floor can be estimated. A shaking table collapse test of a steel building was conducted to verify the proposed approach. The results indicate that the accuracy of the interstory drift measured by the cameras is high enough to estimate the damage state of the building based on the fragility curve of the interstory drift ratio. On the other hand, the interstory drift measured by an accelerometer tends to underestimate the damage state when residual interstory drift occurs because the low frequency content of the displacement signal is eliminated when high-pass filtering is employed for baseline correction.

The RLG's Power Supply Design for Attitude Control in the Satellite (저궤도 위성 자세제어용 센서 RLG 전원 공급기 설계)

  • Kim, Eui-Chan;Lee, Heung-Ho
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1488-1490
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    • 2008
  • The gyroscope is the sensor for detecting the rotation in inertial reference frame and constitute the navigation system together an accelerometer. As the inertial reference equipment for attitude determination and control in the satellite, the mechanical gyroscope has been used but it bring the disturbance for mass unbalance so the disturbance give a bad influence to the observation satellite mission because the mechanical gyroscope has the rotation parts. During the launch, The mechanical gyroscope is weak in vibration, shock and has the defect of narrow operating temperature range so it need the special design in integration. Recently the low orbit observation satellite for seeking the high pointing accuracy of image camera payload accept the FOG(Fiber Optic Gyro) or RLG(Ring Laser Gyro) for the attitude determination and control. The Ring Laser Gyro makes use of the Sanac effect within a resonant ring cavity of a He-Ne laser and has more accuracy than the other gyros. It need the 1000V DC to create the He-Ne plasma in discharge tube. In this paper, the design process of the High Voltage Power Supply for RLG(Ring Laser Gyroscope) is described. The specification for High Voltage Power Supply(HVPS) is proposed. Also, The analysis of flyback converter topology is explained. The Design for the HVPS is composed of the inverter circuit, feedback control circuit, high frequency switching transformer design and voltage doubler circuit.

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First-Person Shooter Player Analysis System Based on Biometrics (생체 정보 기반 1인칭 슈팅 게임 플레이어 분석 시스템)

  • Kim, Dong-Gyun;Bae, Byung-Chull;Kang, Shin-Jin
    • Journal of Korea Game Society
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    • v.17 no.6
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    • pp.29-38
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    • 2017
  • Predicting the user's reaction to the game at the stage of developing the game is important because it is related to the popularity of the game. In this paper, we propose a system that can collect and analyze game user's biometric information in a non-invasive way. To this end, we developed a mouse with skin conductance, pressure, gyroscope, and accelerometer sensor using Arduino. In order to verify the usefulness of this system, the subject was experimented with playing the first person shooter game with this mouse. We analyzed the gameplay videos recorded during Blizzard's 'OverWatch' and the bio-information collected from various sensors in the mouse.