Search Results - (( motion classification system algorithm ) OR ( evolution optimization sensor algorithm ))
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1
Investigation of the optimal sensor location and classifier for human motion classification
Published 2022“…Future development of wearables should look into integrating classification algorithm in the system, thus the human motion monitoring will provide a richer information and not only limited to number of steps and calories burned.…”
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2
Recognition of human motion from qualitative normalised templates
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3
Cluster head selection optimization in wireless sensor network via genetic-based evolutionary algorithm
Published 2020“…Genetic-based evolutionary algorithms such as Genetic Algorithm (GA) and Differential Evolution (DE) have been popularly used to optimize cluster head selection in WSN to improve energy efficiency for the extension of network lifetime. …”
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4
A centralized localization algorithm for prolonging the lifetime of wireless sensor networks using particle swarm optimization in the existence of obstacles
Published 2017“…In a previous research, a relocating algorithm for mobile sensor network had been introduced and the goal was to save energy and prolong the lifetime of the sensor networks using Particle Swarm Optimization (PSO) where both of sensing radius and travelled distance had been optimized in order to save energy in long-term and shortterm. …”
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Thesis -
5
Adapting robot kinematics for human-arm motion recognition
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6
Design, optimization and fabrication of a climbing six articulated-wheeled robot using artificial evolution and 3D printing
Published 2015“…In this research, an artificial evolution approach utilizing Single-Objective Evolutionary Algorithm (SOEA) and Multi-Objective Evolutionary Algorithm (MOEA) respectively are investigated in the automatic design and optimization of the morphology of a Six Articulated-Wheeled Robot (SAWR) with climbing ability. …”
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7
An improved gbln-pso algorithm for indoor localization problem in wireless sensor network
Published 2022“…Then, we compared the result with Particle Swarm Optimization (PSO), Differential Evolution Particle Swarm Optimization (DEPSO), Health Particle Swarm Optimization (HPSO) and Global best Local Neigborhood Particle Swarm Optimization (GbLN-PSO) algorithm. …”
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8
Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control
Published 2015“…Each fuzzy rule (FR) for this system is based on the form of IF-THEN rule. Since membership functions (MFs) are generated automatically, the proposed fuzzy learning algorithm can be viewed as a knowledge acquisition tool for classification problems. …”
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9
Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…A completely automated system means a computer will perform the entire task from low level detection to higher level motion analysis. …”
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10
Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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11
Detection and classification of moving objects for an automated surveillance system
Published 2006“…A completely automated system means a computer will perforin the entire task from low level detection to higher level motion analysis. …”
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12
HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
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Neural network classifier for hand motion detection from EMG signal
Published 2011“…A backpropagation (BP) network with Levenberg-Marquardt training algorithm has been utilized for the classification of EMG signals. …”
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Book Chapter -
14
Design and performance analysis of artificial neural network for hand motion detection from EMG signals
Published 2013“…Besides prosthetic device control and neuromuscular disease identification, electromyography (EMG) signals can also be applied in the field of human computer interaction (HCI) system. This article represents the classification of Electromygraphy (EMG) signal for the detection of different predefined hand motions (left, right, up and down) using artificial neural network (ANN). …”
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15
Using the evolutionary mating algorithm for optimizing the user comfort and energy consumption in smart building
Published 2023“…EMA belongs to the evolutionary computation group of nature-inspired metaheuristic algorithms and offers a promising solution. A comparative analysis is conducted with other well-known algorithms such as Particle Swarm Optimization (PSO), Differential Evolution (DE), Ant Colony Optimization (ACO), Biogeography-Based Optimization (BBO), Teaching-Learning Based Optimization (TLBO), and Beluga Whale Optimization (BWO). …”
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Dealing with Routing Hole Problem in Multi-hop Hierarchical Routing Protocol in Wireless Sensor Network
Published 2019“…In the proposed work, the focused problem is how to reduce the communication energy consumption and to avoid the routing hole problem by optimized routing algorithms. First, a routing hole detection algorithm is proposed prior to designing the routing protocol which decreases about 30 percent energy consumption rate, detection time and detection overhead. …”
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17
Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…The system hardware consists of two parts, motion XY-stage used for wafer planar translation and optical unit used for acquiring wafer images. …”
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18
Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…The system hardware consists of two parts, motion XY-stage used for wafer planar translation and optical unit used for acquiring wafer images. …”
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19
Development of gesture database for an adaptive gesture recognition system
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Working Paper -
20
Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm
Published 2023“…Classification (of information); Data mining; Digital forensics; Forestry; Learning algorithms; Loudspeakers; Motion compensation; Nearest neighbor search; Speech recognition; Trees (mathematics); K-near neighbor; Logistic model tree; Logistics model; Mel frequency cepstral co-efficient; Mel frequency cepstral coefficient; Mel-frequency cepstral coefficients; Mining classification; Model trees; Nearest-neighbour; Speaker identification systems; Authentication…”
Conference Paper
