Search Results - (( motion estimation force algorithm ) OR ( mass communication based algorithm ))
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An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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An adaptive block-based matching algorithm for crowd motion sequences
Published 2018“…For crowd analytics and surveillance systems, motion estimation is an essential first step. Lots of crowd motion estimation algorithms have been presented in the last years comprising pedestrian motion. …”
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An Adaptive Motion Estimation Algorithm for Irregular Motion of Objects
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An adaptive motion estimation algorithm for irregular motion of objects
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Sensor-less force-reflecting macro–micro telemanipulation systems by piezoelectric actuators
Published 2016“…To eliminate external force measurement, a force estimation algorithm is proposed for the master and slave robots. …”
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Performance comparison between skyhook and semi active damping force estimator (SADE) algorithms for semi active suspension system / S. A. Abu Bakar ... [et al.]
Published 2018“…The Skyhook and Semi Active Damping Force Estimator (SADE) algorithms are used to control the operation of the MR damper in quarter car model’s suspension system. …”
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Improved abnormal detection using self-adaptive social force model for visual surveillance
Published 2017“…Using the attained flow vectors from this stage, interaction force estimation is done based on SFM theory. This experiment is done with the hypothesis that high magnitude of interaction force portrayed the abnormal behavior in a crowd. …”
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Crowd behavior monitoring using self-adaptive social force model
Published 2019“…The estimated interaction forces of each particle represent the behavior of the crowd, whether it is normal or abnormal. …”
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Identification of ground vehicle's aerodynamic derivatives using neural network
Published 2008“…A reliable identification technique is a prerequisite to estimate the aerodynamic side force and the yaw moment. …”
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Computational modeling of running biomechanics in amateur runners
Published 2024“…On the other hand, focusing on muscle activations and joint moments during different running distances and with varying shoe cushioning, the results demonstrated that CMC provided the most accurate muscle force estimations, exhibiting the lowest root mean square error (RMSE) and highest correlation, though at the cost of increased computational time. …”
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Intelligent material handling mobile robot for industrial purpose with active force control capability
Published 2005“…An integrated kinematic and dynamic control with embedded intelligent algorithms were the main approaches employed for the robust motion control of a mobile manipulator (MM) comprising a differentially driven wheeled mobile base platform with a two-link planar arm mounted on top of the platform. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar
Published 2017“…Then, the next step is to define the dominant components according to the relative energy distributions of wavelet packet transform (WPT) components of the acceleration responses, and transforming the equations of motion of the system in the time-domain to a reduced representation of the equations of motion based on the WPT. …”
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Review on real-time control schemes for wheeled mobile robot
Published 2018“…The purpose of this paper is to review real-time control motion algorithms for wheeled mobile robot (WMR) when navigating in environment such as road. …”
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An overview on real-time control schemes for wheeled mobile robot
Published 2018“…The purpose of this paper is to review real-time control motion algorithms for wheeled mobile robot (WMR) when navigating in environment such as road. …”
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An active lower-extremity exoskeleton for synchronous mobility assistance in lifting and carrying manual handling task / Sado Fatai
Published 2019“…The control system can assist wearers’ movement by a new synergy of three controller algorithms: a dual unscented Kalman filter (DUKF) for trajectory estimation and model update, an impedance controller for generation of assistive torque, and a new supervisory control algorithm for pilot movement detection and synchronization with the exoskeleton. …”
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Spectral Estimation And Supervised Classification Technique For Real Time Electromyography Pattern Recognition
Published 2018“…Electromyography (EMG) signal is a biomedical signal which measures physical activity of human muscle.It has been acknowledged to be widely used in rehabilitation or recovery application system assisting physiotherapist to monitor a patient’s physical strength,function,motion and overall well-being by addressing the underlying physical issues.In application system associated with rehabilitation,a signal processing and classification techniques are implemented to classify EMG signal obtained.For real time application in the rehabilitation, the classification is crucial issue.The success of the signal classification depends on the selection of the features that represent a raw EMG signal in the signal processing.Therefore,a robust and resilient denoising method and spectral estimation technique have been acknowledged as necessary to distinguish and detect the EMG pattern.The present study was undertaken to determine the characteristic of EMG features using denoising method and spectral estimation technique for assessing the EMG pattern based on a supervised classification algorithm.In the study,the combination of time-frequency domain (TFD) and time domain (TD) were identified as the preferred denoising method and spectral estimation techniques.In the first part of study, the recorded EMG signal filtered the contaminated noise by using wavelet transform (WT) approach which implemented discrete wavelet transform (DWT) method of the wavelet-denoising signal. …”
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A modified group authentication scheme for machine type communication in LTE/LTE-a networks
Published 2018“…Machine-Type Communication (MTC), as one of the essential advancements of wireless communication, has become a new business development in mobile communication. …”
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Breast cancer prediction using machine learning
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