Search Results - motion detection ((((method algorithm) OR (sensor algorithm))) OR (means algorithm))
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Therefore, a new reference-free damage detection algorithm is proposed. The RWPE measurements of different sensor-to-sensor pairs are applied for defining the reference-free damage index (RDI) of each sensor location. …”
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Web Camera Application For Motion Detection
Published 2003“…The new method to detect motion is "vision motion detection". …”
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Singular value determination for IR-UWB radar sensor-based human motion detection
Published 2021“…Human motion detection is a method of identification where various techniques and equipment are combined to distinguish human motion. …”
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…Like most sensors stereo camera readings are susceptible to noise due to lighting conditions and detection errors. …”
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…The study proposes a multi-view ensemble algorithm to integrate predicted values of different motion sensors. …”
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Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…First, to investigate existing multi-sensor and automatic feature extraction methods for human activity detection and health monitoring using motion sensor. …”
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Robust remote heart rate estimation from multiple asynchronous noisy channels using autoregressive model with Kalman filter
Published 2019“…We propose a novel algorithm to estimate heart rate. Also, it can differentiate between a photo of a human face and an actual human face meaning that it can detect false signals and skip them. …”
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Digital Analysis of Badminton Athlete Motion
Published 2015“…The training system can be used by the coach and/or biomechanics to analyse the performance of the athletes. The motion detection of the athlete is captured by means of Kinect skeleton tracking algorithm that tracks up to 20 joints of the body including their x-axis, y-axis and z-axis coordinates. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…Most of the existing algorithms consider the noise filtering step precedes trajectory segmentation step which mean that there is no preprocessing method to partition trajectory into set of segments and remove noise points in real time with low computational cost. …”
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Obstacle Detection And Avoidance System
Published 2018“…The algorithm on how the robot car responses when obstacle is detected is also designed. …”
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A review: radar-based fall detection sensor / Hidayatusherlina Razali ... [et al.]
Published 2024“…Radar-based sensors can accurately capture Doppler frequency variations from human motion by utilising time-frequency representations and classification algorithms. …”
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Finger Application Using K-Curvature Methods and Kinect Sensor in Real-time
Published 2015“…İn this paper, the proposed method is to detect and recognizes the fingertips by using the K-Curvature algorithm. …”
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Real-time Rotation Invariant Hand Tracking Using 3D Data
Published 2014“…This paper proposes hand tracking method using hand tracker algorithm released by NiTE, hand’s segmentation method, hand contour detection and center of palm detection. …”
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A comprehensive analysis of surface electromyography for control of lower limb exoskeleton
Published 2016“…Results showed that the filter parameters selection could significantly affect the amplitude of the sEMG as well as it may conceal the exact onset/offset time of the signal. The developed algorithm for the crosstalk recordings detection shows ability in determining the presence of the overlapped measurements period. …”
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Fetal heart rate monitoring during pregnancy for assessing the well-being of the fetus
Published 2018“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2017“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
Published 2018“…The resulting average accuracy is 83% for the FHR detection. The detection of the FHR from the maternal abdominal signal by the developed algorithm has also been compared with a short-term monitoring commercial instrument IFM-500 for the assessment of the reliability of the algorithm. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…The proposed framework has also been compared with existing stateof- the-art detection algorithms. Experimental results show that MDMRBF outperforms these algorithms with precision and recall being 94% and 89%, respectively. …”
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Rain streak removal using emboss and spatial-temporal depth filtering technique in video keyframes
Published 2012“…The filter algorithm is based on an enhanced harmonic mean filter algorithm. …”
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