Search Results - (( using optimization based algorithm ) OR ( motion estimation case algorithm ))
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1
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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2
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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3
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ For the fourth trial, joint angles were also calculated with external acceleration, and the RMSE was 0.996◦ In all cases, the joint angles were within therapeutic limits.…”
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4
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ For the fourth trial, joint angles were also calculated with external acceleration, and the RMSE was 0.996◦ In all cases, the joint angles were within therapeutic limits.…”
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5
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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6
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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7
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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8
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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9
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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10
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Multiple trials using the proposed algorithm estimated the elbow joint angle of the rigid body with a maximum RMSE of 0.46◦ Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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11
Upper Limb Joint Angle Estimation Using Wearable IMUs and Personalized Calibration Algorithm
Published 2023“…Using the IMU manufacturer’s (WitMotion) algorithm (Kalman filter), the maximum RMSE was 1.97◦ . …”
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Computational modeling of running biomechanics in amateur runners
Published 2024“…Experimental data were collected from ten amateur runners, and muscle-driven simulations were performed using techniques like Computed Muscle Control (CMC) and Static Optimization (SO). …”
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14
The impact of executive function and aerobic exercise recognition in obese children under deep learning
Published 2025“…Initially, a motion recognition model based on STN and Lucas–Kanade optical flow algorithm optimization was constructed. …”
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15
IMPACT OF NUMBER OF ATTRIBUTES ON THE ACCURACY OF HUMAN MOTION CLASSIFICATION
Published 2018“…Present studies merely focus on estimating joints, skeleton and motions of human activities. …”
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16
A new search and extraction technique for motion capture data
Published 2008“…Results from the experiments show that matching motion files were successfully extracted from the motion capture library using the new algorithm based on different human body segments.…”
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17
Fuzzy qualitative approach to address uncertainty in human motion analysis / Lim Chern Hong
Published 2015“…Human motion analysis is one of the most active researches in computer vision society nowadays due to its wide spectrum of applications. …”
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18
Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar
Published 2016“…Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
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19
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…The proposed population-based SKF algorithm and the single solution-based SKF algorithm use the scalar model of discrete Kalman filter algorithm as the search strategy to overcome these flaws. …”
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20
Sizing optimization of large-scale grid connected photovoltaic system using dolphin echolocation algorithm / Muhammad Zakyizzuddin Rosselan
Published 2018“…Later, an Iterative-based Sizing Algorithm (ISA) was developed to determine the optimal sizing solution which was later used as benchmark for sizing algorithms using optimization methods. …”
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Thesis
