Search Results - (( (emotion OR motion) detection device algorithm ) OR ( based optimization mining algorithm ))
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Framework for stream clustering of trajectories based on temporal micro clustering technique
Published 2018“…In recent years, spatio-temporal data has rapidly increased due to the tremendous prevalence of geolocation devices such as Global Positioning System, mobiles, and motion sensors. …”
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Thesis -
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Real-time measurement and gait detection algorithm for motion control of active ankle foot orthosis / Aminuddin Hamid
Published 2015“…This thesis proposes a real time gait phase detection system to control AAFO for rehabilitation and assist ankle motion. …”
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Thesis -
3
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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Conference or Workshop Item -
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Emotion Detection Based on EEG Signal
Published 2021“…Thus, this project aimed to study the emotion detection through EEG signal and proposed the right algorithm to process the signal. …”
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Final Year Project -
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Automated content sizing using accelerometer
Published 2014“…Accelerometer is a kind of device that built in mobile device in order to detect motion. …”
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Undergraduates Project Papers -
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Tree-based contrast subspace mining method
Published 2020“…Hence, this thesis presents the optimization of parameters values for the tree-based method by genetic algorithm. …”
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Thesis -
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Role Minimization As An Optimization Metric In Role Mining Algorithms : A Literature Review
Published 2018“…A recent access control model that could accommodate a dynamic structure such as cloud computing can be recognized as role based access control and the role management process of this access control can be identified as role mining.The current trend in role based access control is the role mining problem that can be described as the difficulty to uncover an optimum set of roles from the userpermission assignment.To solve this problem,the researchers have proposed role mining algorithms to produce role set and among the existing algorithms there is an intrinsic topic of the common perception to evaluate the goodness of the generated role set.Eventually,the value of the identified roles could be measured by the preferred metric of optimality namely the number of roles,sizes of userassignment and permission-assignment and Weighted Structural Complexity.Until now, there is some disagreement on the optimization metric but notably many researchers have agreed on the minimization of the number of roles as a solid metric.This paper discusses an overview of the current state-of-the-art on the recent role mining algorithms that focus on role minimization as an optimization metric to evaluate the goodness of the identified roles. …”
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Development of a flexible video analysis system for motion detection and alarm generation
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Proceeding Paper -
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Immersive AR pet game with hand motion
Published 2023“…Unity provides a cross-platform development environment for AR applications that run on different devices with varying capabilities. ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. …”
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Final Year Project / Dissertation / Thesis -
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Neural network classifier for hand motion detection from EMG signal
Published 2011“…This paper represents the detection of different predefined hand motions (left, right, up and down) using artificial neural network (ANN). …”
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Book Chapter -
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Improvement of fuzzy neural network using mine blast algorithm for classification of Malaysian Small Medium Enterprises based on strength
Published 2015“…Many researchers have trained ANFIS parameters using metaheuristic algorithms but very few have considered optimizing the ANFIS rule-base. …”
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Thesis -
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Multi-objective Binary Clonal Selection Algorithm In The Retrieval Phase Of Discrete Hopfield Neural Network With Weighted Systematic Satisfiability
Published 2024“…The proposed algorithm in the retrieval phase showed optimal performance as compared to the baseline algorithms. …”
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Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors
Published 2020“…The results showed that the amplitude-independent algorithm performed better in terms of detecting weak muscle activity and resisting false alarms.…”
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Article -
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Optimizing Tree-Based Contrast Subspace Mining Using Genetic Algorithm
Published 2022“…This paper proposes a tree-based method which incorporates genetic algorithm to optimize the contrast subspace search by identifying global optima contrast subspace. …”
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An application of IPA approach on the optimization of a mining port stockyard system
Published 2002“…Perturbation Analysis Robbins Monro Single Run (PARMSR) algorithm were applied in the optimization of sub-system 1 and rules devised to determining optimal operating condition in sub-system 2. …”
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Proceeding Paper -
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Design and performance analysis of artificial neural network for hand motion detection from EMG signals
Published 2013“…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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Tracking and counting motion for monitoring food intake based on depth sensor
Published 2020“…The food intake counting method showed a good significance that can lead to a successful weight loss by simply monitoring the food intake taken during eating. The device used was Kinect Xbox One which used a depth camera to detect the motion of a person’s gesture and posture during food intake. …”
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Thesis -
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…However, less works have been conducted in applying multiobjective based algorithm for topic extraction. Most of these algorithms are not optimized, even if they are, they are only optimized by using a single objective method and may underperform when solving real-world problems which are typically multi-objectives in nature. …”
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