• International Journal of Automotive Technology
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• 제8권6호
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• pp.753-760
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• 2007

In this paper, a roll and pitch estimation algorithm using a set of accelerometers and wireless sensor networks(S/N) is presented for use in a passenger vehicle. While an inertial measurement unit(IMU) is generally used for roll/pitch estimation, performance may be degraded in the presence of longitudinal acceleration and yaw motion. To compensate for this performance degradation, a new roll and pitch estimation algorithm is proposed that uses an accelerometer array, global positioning system(GPS) and in-vehicle networks to get information from yaw rate and roll rate sensors. Angular acceleration and roll and pitch approximation are first calculated based on vehicle kinematics. A discrete Kalman filter is then applied to estimate both roll and pitch more precisely by reducing noise from the running engine and from road disturbance. Finally, the feasibility of the proposed algorithm is shown by comparing its performance experimentally with that of an IMU in the framework of an indoor test platform as well as a test vehicle.

• Journal of Positioning, Navigation, and Timing
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• 제7권2호
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• pp.91-103
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• 2018

Conventional inertial measurement units cannot be used in the spinning vehicle with high rotation rate due to gyro's narrow operation range. By the way, angular acceleration can be measured using the accelerometer array distributed in the vehicle. This paper derives a mechanization for the gyro-free INS in the navigation frame, and proposes a gyro-free INS algorithm based on the derived mechanization. In addition, the proposed algorithm is used to estimate angular velocity, attitude, velocity, and position of a spinning vehicle with high rotation rate. A MATLAB-based software platform is configured in order to show validation of the proposed algorithm. The reference trajectory of a spinning vehicle at 3 round per second, 30 round per second are set up, and the outputs of accelerometer are generated when triads of accelerometer are located at the origin and all the axes. Navigation results of the proposed algorithm for the generated output are presented. The results show that the proposed navigation algorithm can be applied to the spinning vehicle with high rotation rate.

• KEPCO Journal on Electric Power and Energy
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• 제6권4호
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• pp.405-411
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• 2020

In this paper, we designed the COS MEMS system for sensing the falling detection and explosive noise of fuse link in COS (Cut Out Switch) installing on the power distribution. This system analyzed the failure characteristics and an instantaneous breakdown of power distribution. Therefore, our system strengths the industrial competence and guaranties the stable power supply. In this paper, we applied BLE (Bluetooth Low Energy) technology which is suitable protocol for low data rate, low power consumption and low-cost sensor applications. We experimented with LSM6DSOX which is system-in-module featuring 3 axis digital accelerometer and gyroscope boosting in high-performance mode and enabling always-on low-power features for an optimal motion for the COS fuse holder. Also, we used the MP34DT05-A for gathering an ultra-compact, low power, omnidirectional, digital MEMS microphone built with a capacitive sensing element and an IC interface. The proposed COS MEMS system is developed based on nRF52 SoC (System on Chip), and contained a 3-axis digital accelerometer, a digital microphone, and a SD card. In this paper of experiment steps, we analyzed the performance of COS MEMS system with gathering the accelerometer raw data and the PDM (Pulse Data Modulation) data of MEMS microphone for broadcasting the failure of COS status.

• ETRI Journal
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• 제45권6호
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• pp.1079-1089
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• 2023

Stroke is one of the leading causes of long-term disability worldwide, placing huge burdens on individuals and society. Further, automatic human activity recognition is a challenging task that is vital to the future of healthcare and physical therapy. Using a baseline long short-term memory recurrent neural network, this study provides a novel dataset of stretching, upward stretching, flinging motions, hand-to-mouth movements, swiping gestures, and pouring motions for improved model training and testing of stroke-affected patients. A MATLAB application is used to output textual and audible prediction results. A wearable sensor with a triaxial accelerometer is used to collect preprocessed real-time data. The model is trained with features extracted from the actual patient to recognize new actions, and the recognition accuracy provided by multiple datasets is compared based on the same baseline model. When training and testing using the new dataset, the baseline model shows recognition accuracy that is 11% higher than the Activity Daily Living dataset, 22% higher than the Activity Recognition Single Chest-Mounted Accelerometer dataset, and 10% higher than another real-world dataset.

• 한국정보전자통신기술학회논문지
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• 제9권2호
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• pp.155-161
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• 2016

본 논문은 광 도움 전기화학적 식각으로 나노갭 트렌치 구조를 형성하고 이를 이용해서 정전 용량형 가속도 센서를 설계하고 제작한 것에 대한 연구이다. 정전 용량형 가속도 센서의 감도를 증가시키기 위해 스프링에 연결된 관성질량과 연결된 전극과 감지전극 사이의 간격을 좁혀 커패시턴스의 변화량을 증가시키고 있다. 이를 실현시키기 위해 광-도움 전기화학적 식각을 이용하였고 ANSYS 프로그램을 이용하여 구조해석을 실시하여 $1mm{\times}mm$ 크기의 초소형 정전 용량형 가속도 센서를 설계하였다. 광-도움 전기화학적 식각의 실험 변수인 빛의 세기, dc 전압, 용액의 조성, 피치 등을 고려하여 가속도 센서는 제작 되었다. 최적 공정 조건은 dc전압 2V, Blue LED 20mA, 49wt%HF:DMF:D.I.Water=1:20:10, 피치 $20{\mu}m$이며, 폭 344nm, 깊이 $11.627{\mu}m$의 나노갭 트렌치가 형성되었다.

• 한국컴퓨터정보학회논문지
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• 제15권10호
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• pp.129-136
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• 2010

본 논문은 2바퀴로 수직 자세를 유지하며 원하는 방향으로 이동할 수 있도록 다수개의 센서를 혼합하여 정확한 각도 정보를 얻을 수 있는 방안과 이를 이용한 로봇주행 방법을 연구하였다. 로봇이 2바퀴로 수직 자세를 취하면 시스템이 안정하기 위하여 항상 앞, 또는 뒤로 넘어지려는 성질을 가진다. 따라서 이를 지속적인 수직상태로 유지하기 위하여 기울어지는 각도 정보가 필요하며 이를 이용하여 기울어지는 방향으로 신속한 자세 제어를 필요로 하게 된다. 본 논문에서는 각속도 정보를 얻을 수 있는 자이로센서와 이를 보상하기위한 방안으로 가속도 센서를 혼합하여 사용하였다. 현재 자이로센서와 가속도센서를 혼합하는 알고리즘은 Kalman Filter가 일반적으로 이용되고 있으며 많은 연구가 진행되고 있다. 그러나 이러한 알고리즘을 수행하기 위해서는 고성능의 DSP 프로세서 및 성능이 우수한 시스템을 요구하고 있다. 본 논문에서는 간단하면서 고 효율의 성능을 발휘할 수 있는 자이로센서와 가속도 센서의 혼합 알고리즘과 PID제어를 이용한 자세제어를 연구하였다.

• 센서학회지
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• 제20권2호
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• pp.137-144
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• 2011

Wireless sensor network(WSN) has the potential to greatly effect many aspects of u-healthcare. By outfitting the potential with WSN, wearable sensor node can collects real-time data on physiological status and transmits through base station to server PC. However, there is a significant gap between WSN and healthcare. WSN has the limited resource about computing capability and data transmission according to bio-sensor sampling rates and channels to apply healthcare system. If a wearable node transmits ECG and accelerometer data of 4 channel sampled at 100 Hz, these data may occur high loss packets for transmitting human activity and ECG to server PC. Therefore current wearable sensor nodes have to solve above mentioned problems to be suited for u-healthcare system. Most WSN based activity and ECG monitoring system have been implemented some algorithms which are applied for signal vector magnitude(SVM) algorithm and ECG noise algorithm in server PC. In this paper, A wearable sensor node using integrated ECG and 3-axial accelerometer based on wireless sensor network is designed and developed. It can form multi-hop network with relay nodes to extend network range in WSN. Our wearable nodes can transmit 1-channel activity data processed activity classification data vector using SVM algorithm to 3-channel accelerometer data. ECG signals are contaminated with high frequency noise such as power line interference and muscle artifact. Our wearable sensor nodes can remove high frequency noise to clear original ECG signal for healthcare monitoring.

• 한국멀티미디어학회논문지
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• 제16권1호
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• pp.67-74
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• 2013

본 논문에서는 블루투스 통신 기반에서 최적의 성능을 위한 포인팅 및 보정 알고리즘을 제안한다. 가속도 센서는 각속도 센서보다 데이터 변화량이 더 민감하기 때문에 데이터 출력 값의 오류를 야기하는 주된 원인이 된다. 따라서 가속도 센서로부터의 각 축에 대한 데이터 값에 칼만 필터를 적용함으로써 노이즈를 최소화하였으며, 추가적으로 x, y 변화량에 칼만 필터를 적용함으로써 손 떨림에 대한 보정 효과를 얻을 수 있다. 본 논문에서는 가속도와 각속도 센서 데이터를 Quaternion 사상 처리를 통해 데이터 추출을 적용한다. 추출된 데이터 값에 중력 가속도를 이용한 기울임 보정 알고리즘을 적용함으로써 기울임 보정 효과를 얻을 수 있다. 또한 장치의 급격한 움직임에 의한 센서 데이터의 부정확성을 해결하기 위하여 유전자 알고리즘을 적용한 사용자에 따라 달리 초기 해집단을 생성하는 적응적 포인팅 및 보정 알고리즘을 구현한다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제17권3호
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• pp.438-445
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• 2017

This paper presents a low-power high-resolution band-pass ${\Sigma}{\Delta}$ ADC for accelerometer applications. The proposed band-pass ${\Sigma}{\Delta}$ ADC consists of a high-performance 6-th order feed-forward ${\Sigma}{\Delta}$ modulator with 1-bit quantization and a low-power, area-efficient digital filter. The ADC is fabricated in 180 nm 1P6M mixed-signal CMOS process with a die area of $5mm^2$. This high-resolution ADC got 90 dB peak signal to noise plus distortion ratio (SNDR) and 96 dB dynamic range (DR) over 4 kHz bandwidth, while the intermediate frequency (IF) is shifting from 100 KHz to 200 KHz. The power dissipation of the chip is 5.6 mW under 1.8 V (digital)/3.3 V (analog) power supply.

• 한국자동차공학회논문집
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• 제8권6호
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• pp.182-193
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• 2000

Several metrics have been used in crash discrimination algorithms in order to have timely air bag deployment during all frontal crash modes. However, it is still challengine to have timely air bag deployment especially during the oblique, the pole and the underride crash mode. Therefore, in this paper a new crash discrimination algorithm was proposed, using the absolute value of the deceleration change multiplied by the velocity change as a metric, and processing the metric as a function of the velocity change. The new algorithm was applied for all frontal crash modes of a minivan and a sports utility vehicle, and it resulted in timely air bag deployment for all frontal crash modes including the oblique, the pole and the underride crash mode. Moreover, it was proposed that an accelerometer be installed at each side of the rails, rockers or pillars to assess the crash severity of each side and to deploy the frontal air bags at different time especially during an asymmetric crash such as an oblique and an offset crash. As an example, the deceleration pulses measured at the left and right B-pillar·rocker locations were processed through the new algorithm, and faster time-to-fires were obtained for the air bag at the struck side for the air bag at the other side.