• Title/Summary/Keyword: Non-Intrusive

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Non-Intrusive Speech Intelligibility Estimation Using Autoencoder Features with Background Noise Information

  • Jeong, Yue Ri;Choi, Seung Ho
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.220-225
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    • 2020
  • This paper investigates the non-intrusive speech intelligibility estimation method in noise environments when the bottleneck feature of autoencoder is used as an input to a neural network. The bottleneck feature-based method has the problem of severe performance degradation when the noise environment is changed. In order to overcome this problem, we propose a novel non-intrusive speech intelligibility estimation method that adds the noise environment information along with bottleneck feature to the input of long short-term memory (LSTM) neural network whose output is a short-time objective intelligence (STOI) score that is a standard tool for measuring intrusive speech intelligibility with reference speech signals. From the experiments in various noise environments, the proposed method showed improved performance when the noise environment is same. In particular, the performance was significant improved compared to that of the conventional methods in different environments. Therefore, we can conclude that the method proposed in this paper can be successfully used for estimating non-intrusive speech intelligibility in various noise environments.

Non-intrusive measurement of pulse arrival time and Estimation of Systolic Blood Pressure (무구속적 맥파 전달 시간의 측정을 통한 혈압 추정)

  • Chee, Young-Joon;Park, Kwang-Suk
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.489-492
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    • 2005
  • Even though the blood pressure is one of the most widely used index for the healthcare monitoring of hypertensive and normotensive persons, there is no non-intrusive measurement method which is commercialized until now. Pulse Arrival Time (PAT) is known that it has close relation with the systolic blood pressure (SBP) and arterial stiffness. In this study, SBP estimation methods by non-intrusive measurement of PAT are suggested. For the unconstrained measurement of PAT, the first method used the electrically non contact electrocardiogram (ENC-ECG) technique and the reflective type of Photoplethysmography (PPG) sensor on the computer mouse. In the second method, ENC-ECG and the air pressure sensor in the seat cushion on a chair were measured. The third method used ECG electrodes and PPG sensors on the toilet seat cover. The validation and regression analysis of the relationship of PAT and SBP are summarized. These methods have considerable errors to be used for all people. But these can be applied for each subject after the parameter customization within acceptable error. So, it is feasible for suggested methods to be used for monitoring of SBP in daily life in non-intrusive way when there is personal identification system of each subject.

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Voice Activity Detection Based on SNR and Non-Intrusive Speech Intelligibility Estimation

  • An, Soo Jeong;Choi, Seung Ho
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.4
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    • pp.26-30
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    • 2019
  • This paper proposes a new voice activity detection (VAD) method which is based on SNR and non-intrusive speech intelligibility estimation. In the conventional SNR-based VAD methods, voice activity probability is obtained by estimating frame-wise SNR at each spectral component. However these methods lack performance in various noisy environments. We devise a hybrid VAD method that uses non-intrusive speech intelligibility estimation as well as SNR estimation, where the speech intelligibility score is estimated based on deep neural network. In order to train model parameters of deep neural network, we use MFCC vector and the intrusive speech intelligibility score, STOI (Short-Time Objective Intelligent Measure), as input and output, respectively. We developed speech presence measure to classify each noisy frame as voice or non-voice by calculating the weighted average of the estimated STOI value and the conventional SNR-based VAD value at each frame. Experimental results show that the proposed method has better performance than the conventional VAD method in various noisy environments, especially when the SNR is very low.

Development of Chair Backrest for Non-intrusive Simultaneous Measurement of ECG and BCG (심전도와 심탄도의 무구속적 동시 측정을 위한 의자 등받이 개발)

  • Lim, Yong-Gyu
    • Journal of the Institute of Convergence Signal Processing
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    • v.19 no.3
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    • pp.104-109
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    • 2018
  • A non-intrusive ECG and BCG measurement system is introduced. The system is built on a auxiliary backrest of a chair. The developed system is aimed to non-intrusive assessment of cardiovascular dynamic indices such as pulse arrival time(PAT) and pre-ejection period (PEP). In the system, capacitive active electrodes and capacitive grounding were used for the non-intrusive indirect-contact ECG measurement, and EMFi pressure sensor was used for the non-intrusive BCG measurement. The capacitive active electrodes and the EMFi sensor were attached on the backrest. Using the system, ECG and BCG were successfully acquired. The measured BCG showed peaks that following ECG R peaks. It was shown that the time interval between Q wave in ECG and first peak in BCG correlates Pre-ejection period measured by impedance-cardiogram. The results showed that the introduced system can be used for the non-intrusive various cardiovascular information including ECG, PAT, PEP.

Non-intrusive Calibration for User Interaction based Gaze Estimation (사용자 상호작용 기반의 시선 검출을 위한 비강압식 캘리브레이션)

  • Lee, Tae-Gyun;Yoo, Jang-Hee
    • Journal of Software Assessment and Valuation
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    • v.16 no.1
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    • pp.45-53
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    • 2020
  • In this paper, we describe a new method for acquiring calibration data using a user interaction process, which occurs continuously during web browsing in gaze estimation, and for performing calibration naturally while estimating the user's gaze. The proposed non-intrusive calibration is a tuning process over the pre-trained gaze estimation model to adapt to a new user using the obtained data. To achieve this, a generalized CNN model for estimating gaze is trained, then the non-intrusive calibration is employed to adapt quickly to new users through online learning. In experiments, the gaze estimation model is calibrated with a combination of various user interactions to compare the performance, and improved accuracy is achieved compared to existing methods.

Experimental Verification of Compressor Blade Aeromechanics (압축기 블레이드 Aeromechanics의 시험적 검증)

  • Choi, Yun Hyuk;Park, Hee Yong;Kim, Jee Soo;Shin, Dong Ick;Choi, Jae Ho;Kim, Yeong Ryeon
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2017.05a
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    • pp.240-244
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    • 2017
  • Experimental verification in the rig test stage for component development is a vital link between the aeromechanical design and structural integrity validation process. Based on this premise, Non-Intrusive Stress Measuring System was adopted on the axial compressor test rig to measure the static and dynamic tip deflection of all blades by using tip-timing sensors. Through analyzing vibration characteristics, we evaluated the vibratory stresses seen on the blades fatigue critical location; detected synchronous resonances which are the source of High Cycle Fatigue (HCF) in blades; presented non-synchronous vibration response by aerodynamic excitation and individual blade mis-tuning patterns.

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Applicability Evaluation of FMCW Radar Detector on Signal Intersections (FMCW 레이더 검지기 신호교차로 적용성 평가)

  • Ko, Kwang-Yong;Kim, Min-Sung;Lee, Choul-Ki;Jeong, Jun-Ha;Heo, Nak-Won
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.1
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    • pp.1-12
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    • 2015
  • Intrusive Vehicle Detectors have excellent detection performance compared to other types of detector, but disadvantages of high installation and maintenance costs, short life time due to greater damage to roads and paving materials. In contrast, Non-Intrusive Vehicle Detectors attached to the stationary pole have advantages because it does not damage the road surface and easy and less expensive to maintain. Despite these advantages, Non-Intrusive type detectors are still not been widely used in traffic signal control systems because of the low detection performance. In this study, a FMCW(Frequency Modulated Continuous Wave) radar Vehicle Detector was designed as an alternative detector for the signalized intersection, and the performance evaluation was presented by purpose applicability.

Multi-views face detection in Omni-directional camera for non-intrusive iris recognition (비강압적 홍채 인식을 위한 전 방향 카메라에서의 다각도 얼굴 검출)

  • 이현수;배광혁;김재희;박강령
    • Proceedings of the IEEK Conference
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    • 2003.11b
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    • pp.115-118
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    • 2003
  • This paper describes a system of detecting multi-views faces and estimating their face poses in an omni-directional camera environment for non-intrusive iris recognition. The paper is divided into two parts; First, moving region is identified by using difference-image information. Then this region is analyzed with face-color information to find the face candidate region. Second part is applying PCA (Principal Component Analysis) to detect multi-view faces, to estimate face pose.

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Technical tendency of electric field measurements in glow discharge plasmas using laser spectroscopy (레이저를 이용한 방전 플라즈마중의 전계측정 기술 동향)

  • Choi, Y.W.;Bowden, M.;Muraoka, K.
    • Proceedings of the KIEE Conference
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    • 1997.07e
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    • pp.1663-1665
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    • 1997
  • Direct measurements of electric fields in a glow discharge are difficult because the measurement method should be sensitive to the electric field and non-intrusive. Laser spectroscopy is very suitable in that it is non-intrusive and allow in-situ measurements to be made. In this report, the measurement techniques of electric fields in glow discharge using laser spectroscopy were described.

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