Search Results - (( developing motion learning algorithm ) OR ( java application stemming algorithm ))
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Study of machine learning in computer vision using Raspberry Pi
Published 2024text::Final Year Project -
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Hand gesture recognition in ASD related motion using YOLOv8 algorithm / Muhammad Afiq Mohd Ali
Published 2025“…The study focuses on designing a Hand Gesture Recognition application by means of the YOLOv8 deep learning algorithm to recognize hand gestures associated with autism spectrum disorder (ASD). …”
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3
Recognition of human motion from qualitative normalised templates
Published 2007“…Classification of the human motion is done by comparing the QNTs to the parameters learned from numerical motion tracking. …”
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Adapting robot kinematics for human-arm motion recognition
Published 2007“…This paper presents a novel method to the analysis of human-arm motion, in particular improving the efficiency of conventional motion recognition algorithms. …”
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Imitation learning through self-exploration : from body-babbling to visuomotor association / Farhan Dawood
Published 2015“…The results show that the imitation learning algorithm is able to incrementally learn and associate the observed motion patterns based on the segmentation of motion primitives.…”
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6
Development of a Wireless PC-Controlled Mobile Robot System and Multimedia Based Learning Module
Published 2001“…The developed control algorithms enable the user to control the mobile robot manually, automatically or by voice recognition commands. …”
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Hybrid learning control schemes with input shaping of a flexible manipulator system.
Published 2006“…This is then extended to incorporate iterative learning control with acceleration feedback and genetic algorithms (GAs) for optimization of the learning parameters and a feedforward controller based on input shaping techniques for control of vibration (flexible motion) of the system. …”
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Variable step size least mean square optimization for motion artifact reduction: A review
Published 2019“…Many algorithms have been developed to reduce the motion artifact effect on Photoplethysmograph (PPG) technology and to increase the accuracy of the health monitoring device reading. …”
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Immersive AR pet game with hand motion
Published 2023“…ManoMotion is a hand-tracking software that uses machine learning algorithms to track and recognise hand movements in real-time. …”
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Performance of hybrid learning control with input shaping for input tracking and vibration suppression of a flexible manipulator
Published 2006“…This Is Then Extended To Incorporate Iterative Learning Control With Genetic Algorithm (GA) To Optimize The Learning Parameters And A Feedforward Controller Based On Input Shaping Techniques For Control Of Vibration (Flexible Motion) Of The System. …”
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Vision based automatic steering control using a PID controller
Published 2006“…This is then extended to incorporate iterative learning control with genetic algorithm (GA) to optimize the learning parameters and a feedforward controller based on input shaping techniques for control of vibration (flexible motion) of the system. …”
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Design and fabrication of novel Articulated Robot Arm with mobile movement
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Design and fabrication of novel Articulated Robot Arm with mobile movement
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Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation
Published 2000“…Then, various optimized algorithms for the two core processes in the compression, DCT and motion estimation, were reviewed and analyzed. …”
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Motion capture sensing techniques used in human upper limb motion: a review
Published 2019“…The purpose of this paper is to help the researchers to select specific MoCap system for various applications and the development of new algorithms related to upper limb motion. …”
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Development of a genetic algorithm controller for cartesian robot
Published 2008“…This project involves in developing a machine learning system that is capable of performing independent learning capability for a given tasks. …”
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Therefore, by considering tracking as an optimisation problem, the proposed SwATrack algorithm searches for the optimal distribution of motion model without making prior assumptions, or prior learning of the motion model. …”
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…An efficient iterative algorithm is developed to optimize the objective function of the proposed algorithm since it is non-smooth and difficult to solve. …”
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Mobile application for sign language learning with real time feedback
Published 2024“…Machine learning algorithms using MediaPipe and deep learning will analyse users' hand motions to provide corrections for improving technique. …”
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Final Year Project / Dissertation / Thesis
