• 제목/요약/키워드: Angular sensor

검색결과 235건 처리시간 0.032초

Analysis of Angular Velocity during Toe Tapping for the Quantification of the Lower Limb Bradykinesia in Patients with Idiopathic Parkinson's Disease (특발성 파킨슨병 환자의 하지 완서증 정량화를 위한 발 두드리기 동작의 각속도 분석)

  • Kim, Ji-Won;Kwon, Yu-Ri;Eom, Gwang-Moon;Kim, Hyung-Sik;Yi, Jeong-Han;Kwon, Do-Young;Koh, Seong-Beom;Park, Byung Kyu;Kwon, Tae-Kyu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • 제59권11호
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    • pp.2114-2118
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    • 2010
  • The purpose of this study was to analyze bradykinesia of toe tapping movement in patients with Parkinson's disease (PD) as compared to those of normal subjects. 39 PD patients (age: $65.5{\pm}11.2$ yrs, H&Y stage:$2.3{\pm}0.5$), 14 eldelry subjects with comparable mean age ($65.0{\pm}3.9$ yrs) and 17 healthy young subjects ($24.1{\pm}2.1$ yrs) participated in this study. Angular velocity during repetitive toe tapping movement was measured in both feet using a gyro sensor system. Suggested quantitative measures of bradykinesia were root-mean-squared (RMS) angular velocity, RMS angle, peak power and total power which were derived from the angular velocity signal. ANOVA showed that all measures were significantly different among three groups (p<0.001). Subsequent post-hoc test revealed that all measures in PD patients were significantly smaller than in healthy elderly and healthy young subjects (p<0.02). All measures were significantly correlated with UPDRS scores(r=-0.689~-0.825). These results suggest that the developed system can be used as quantitative measures of the lower limb bradykinesia in PD patients.

A Study on the Object Angle Inference in a Sonar Sensor Array System (초음파센서 배열 시스템에서 물체의 각도 추론에 관한 연구)

  • 나승유;박민상
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 1998년도 하계종합학술대회논문집
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    • pp.271-274
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    • 1998
  • Ultrasonic sensors are becoming indispensable components in every sector of automation equipments due to many advantages. But the main purposes of the noncontact sensing device are rather narrowly confined within object detection and distance measurement. To widen the realm of the applications to object recognition, ultrasonic sensors need to improve the recognition resolution to a certain amount. To resolve the problem of spatial resolution restriction, an increased number of the sensors in the forms of a linear array or 2-dimensional array of the sensor has been used. Also better resolution has been obtained by shifting the array in several steps using mechanical actuators. For an object recognition using ultrasonic sensors, measurements of distance, shift, oblique angle in certain ranges should be obtained. But a little attention has been paid to the measurement of angles. In this paper we propose a practical method for an object angular value detection in addition to distance measurement in ultrasonic sensor array system with little additional hardware burden. Using the established measurement look-up table for the variations of distance, shift, angle and transmitter voltages for each sensor characteristics, a set of different return echo signals for adjacent receivers are processed to provide enhanced angular value reading for an object.

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Comparison between Two Coordinate Transformation-Based Orientation Alignment Methods (좌표변환 기반의 두 자세 정렬 기법 비교)

  • Lee, Jung-Keun;Jung, Woo-Chang
    • Journal of Sensor Science and Technology
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    • 제28권1호
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    • pp.30-35
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    • 2019
  • Inertial measurement units (IMUs) are widely used for wearable motion-capturing systems in the fields of biomechanics and robotics. When the IMUs are combined with optical motion sensors (hereafter, OPTs) for their complementary capabilities, it is necessary to align the coordinate system orientations between the IMU and OPT. In this study, we compare the application of two coordinate transformation-based orientation alignment methods between two coordinate systems. The first method (M1) applies angular velocity coordinate transformation, while the other method (M2) applies gyroscopic angle coordinate transformation. In M1 and M2, the angular velocities and angles, respectively, are acquired during random movement for a least-square algorithm to determine the alignment matrix between the two coordinate systems. The performance of each method is evaluated under various conditions according to the type of motion during measurement, number of data points, amount of noise, and the alignment matrix. The results show that M1 is free from drift errors, while drift errors are present in most cases where M2 is applied. Thus, this study indicates that M1 has a far superior performance than M2 for the alignment of IMU and OPT coordinate systems for motion analysis.

A development of map building sensor system for mobile robot using low cost photo sensor

  • Hyun, Woong-Keun
    • Journal of information and communication convergence engineering
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    • 제7권3호
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    • pp.281-285
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    • 2009
  • Mobile robot has various sensors for describing the external world. The ultrasonic sensor widely applied to the most mobile robot to detect the obstacle and environment owing to low cost, its easy to use. However, ultrasonic sensor has major problems: the uncertainty information of sensor, false readings caused by specular reflection, multi path effect, low angular resolution and sensitivity to changes in temperature and humidity. This paper describes a sensor system for map building of mobile robot. It was made of low cost PSD (Position Sensitive Detector) sensor array and high speed RISC MPU. PSD sensor is cost effective and light weighting but its output signal has many noises. We propose heuristic S/W filter to effectively remove these noises. The developed map building sensor system was equipped on a mobile robot and was compared with ultrasonic sensor through field test.

Implementation of Computer Device of 2dimension Input for the disabled Using a Angular Acceleration Sensor (각가속도계 센서를 이용한 장애인용 컴퓨터 2차원 입력장치의 구현)

  • 정상봉;한성현
    • Proceedings of the IEEK Conference
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    • 대한전자공학회 1998년도 추계종합학술대회 논문집
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    • pp.837-840
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    • 1998
  • In this paper, we designed the computer input device for rehabilitation of people with hand disabilities. This input device is made up of two Gyrostar sensors attached in the orthnormal directions of x, y axes. Gyrostar is a sensor for angular Acceleration. This device is attached by the user's head side. Head movement is detected by analysing and processing the output wave signals from the sensors therefore enabling the user to move the mouse pointer that helps to operate the computer. This method does not necessitate a complex hardware or a long installation process, which was formerly the case, and uses real time algorithms which enables simple emulation of a computer mouse. The interface of this device and the mouse are the same.

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Balancing the Cubli Frame with LQR-controlled Reaction Wheel (반작용 휠의 LQR 제어를 통한 Cubli 프레임의 균형유지)

  • Kim, Yonghun;Park, Junmo;Han, Seungoh
    • Journal of Sensor Science and Technology
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    • 제27권3호
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    • pp.165-169
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    • 2018
  • A single-axis Cubli frame realized simply with an IMU sensor and DC motor is presented herein. To maintain the balance on the Cubli frame, an LQR controller based on a Lagrangian derivation of the dynamics was designed, which utilized the state variables of the frame angle and its angular acceleration, as well as the wheel angle and its angular acceleration. The designed LQR controller showed a settling time balancing capability of approximately two seconds and 40% of the maximum overshoot in Matlab/Simulink simulations. Our experimental results of the fabricated Cubli frame matched with the simulation results. It maintained balancing at the reference position even though an initial offset as well as external disturbance during the balancing was applied.

Efficiency Evaluation of the Unconditional Maximum Likelihood Estimator for Near-Field DOA Estimation

  • Arceo-Olague, J.G.;Covarrubias-Rosales, D.H.;Luna-Rivera, J.M.
    • ETRI Journal
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    • 제28권6호
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    • pp.761-769
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    • 2006
  • In this paper, we address the problem of closely spaced source localization using sensor array processing. In particular, the performance efficiency (measured in terms of the root mean square error) of the unconditional maximum likelihood (UML) algorithm for estimating the direction of arrival (DOA) of near-field sources is evaluated. Four parameters are considered in this evaluation: angular separation among sources, signal-to-noise ratio (SNR), number of snapshots, and number of sources (multiple sources). Simulations are conducted to illustrate the UML performance to compute the DOA of sources in the near-field. Finally, results are also presented that compare the performance of the UML DOA estimator with the existing multiple signal classification approach. The results show the capability of the UML estimator for estimating the DOA when the angular separation is taken into account as a critical parameter. These results are consistent in both low SNR and multiple-source scenarios.

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Bi-directional Reflectance Effects on Mangrove Classification of IKONOS Multi-angular Images

  • Rubio, M.C.D.;Nadaoka, K.;Paringit, E.C.
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.4-6
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    • 2003
  • Optical signals from an object may vary at different conditions caused by differences in light source and sensor position. Knowledge of these variations is necessary to enable calibration of the satellite images and confirmation of the sun and sensor angles influences of the spectral signals from the objects. With the use high -resolution Ikonos$^{TM}$ multi-angular images, the bi- directional reflectance effects of mangrove trees were observed when three datasets were compared. The influence of bi- directional reflectance may affect the accuracy of interpreting satellite imagery and obtaining biophysical parameters mangrove and other vegetation by indirect means.

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Development of Angular Rate Sensor for an Electronic Stability Program (전자식 주행안전 장치를 위한 각속도 센서 개발)

  • Kim, Byeong-Woo
    • Journal of the Korean Society for Precision Engineering
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    • 제24권10호
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    • pp.83-90
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    • 2007
  • The vehicle dynamic control system needs to detect the yaw rate of vehicle and a yaw rate sensor is required as a central component. Therefore, A sensor on the basic of the "tuning fork method" for automotive controls is being developed. The sensor was fabricated by the surface micro machining process to miniaturize its size. The sensor output offset is ${\pm}0.37^{\circ}/sec$ in the room temperature. The resonance frequency of the fabricated yaw rate sensor is measured to 5.29kHz for the drive mode. Tests of the sensor demonstrate that its performance is equivalent to that required for implementation of a yaw control system. Vehicle handling and safety are substantially improved using the sensor to implement yaw control.