Search Results - (( java application optimization algorithm ) OR ( motion classification system algorithm ))

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  1. 1
    Investigation of the optimal sensor location and classifier for human motion classification

    Investigation of the optimal sensor location and classifier for human motion classification by Anuar, Mohamed, Nur Aqilah, Othman, Hamzah, Ahmad, Mohd Hasnun Ariff, Hassan

    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. 2
    Recognition of human motion from qualitative normalised templates

    Recognition of human motion from qualitative normalised templates by Chan, C.S., Liu, H., Brown, D.J.

    Published 2007
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  3. 3
    Adapting robot kinematics for human-arm motion recognition

    Adapting robot kinematics for human-arm motion recognition by Chan, C.S., Liu, H., Brown, D.

    Published 2007
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  4. 4
    Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control

    Fuzzy-based classifier design for determining the eye movement data as an input reference in wheelchair motion control by Mohd. Noor, Nurul Muthmainnah, Ahmad, Salmiah

    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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  5. 5
    Detection and Classification of Moving Objects for an Automated Surveillance System

    Detection and Classification of Moving Objects for an Automated Surveillance System by Md. Tomari, Mohd Razali

    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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  6. 6
    Detection and classification of moving objects for an automated surveillance system

    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    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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  7. 7
    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices

    Optimization of blood vessel detection in retina images using multithreading and native code for portable devices by Tran, Duc Ngoc, Hussin, Fawnizu Azmadi, Yusoff, Mohd Zuki

    Published 2013
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  8. 8
    Performance evaluation of real-time multiprocessor scheduling algorithms

    Performance evaluation of real-time multiprocessor scheduling algorithms by Alhussian, H., Zakaria, N., Abdulkadir, S.J., Fageeri, S.O.

    Published 2016
    “…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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  9. 9
    Detection and classification of moving objects for an automated surveillance system

    Detection and classification of moving objects for an automated surveillance system by Md Tomari, Mohd Razali

    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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  10. 10
    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM

    HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM by LO , TIMOTHY YIN HONG

    Published 2019
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  11. 11
    Neural network classifier for hand motion detection from EMG signal

    Neural network classifier for hand motion detection from EMG signal by Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

    Published 2011
    “…A backpropagation (BP) network with Levenberg-Marquardt training algorithm has been utilized for the classification of EMG signals. …”
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  12. 12
    Design and performance analysis of artificial neural network for hand motion detection from EMG signals

    Design and performance analysis of artificial neural network for hand motion detection from EMG signals by Ibrahimy, Muhammad Ibn, Ahsan, Md. Rezwanul, Khalifa, Othman Omran

    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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  13. 13
    Route Optimization System

    Route Optimization System by Zulkifli, Abdul Hayy

    Published 2005
    “…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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  14. 14
    Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry

    Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry by Yap, Hwa Jen, Ooi, C.H., Chang, Siow Wee

    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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  15. 15
    Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry

    Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry by Yap, Hwa Jen, Ooi, C.H., Chang, Siow Wee

    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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  16. 16
    Development of gesture database for an adaptive gesture recognition system

    Development of gesture database for an adaptive gesture recognition system by Mohd Azri, Abd Aziz, Khairunizam, Wan, Shahriman, Abu Bakar, Siti Khadijah, Za'ba, Abdul Halim, Ismail, Zuwairie, Ibrahim, Mohd Saberi, Mohamad

    Published 2012
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  17. 17
    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm

    Arabic Speaker Identification System for Forensic Authentication Using K-NN Algorithm by Abdulwahid S., Mahmoud M.A., Abdulwahid N.

    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…”
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  18. 18
    Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification

    Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification by Abdul Wahit, Mohamad Aizat

    Published 2019
    “…The current study of the hand posture classification requires a higher number of EMG sensor used to achieve an accurate classification performance that leads the system to be complicated. …”
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  19. 19
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
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  20. 20
    Fuzzy qualitative approach to address uncertainty in human motion analysis / Lim Chern Hong

    Fuzzy qualitative approach to address uncertainty in human motion analysis / Lim Chern Hong by Lim, Chern Hong

    Published 2015
    “…As a consequence, these systems are impractical to deploy in real-world environment due to the abounded uncertainties in the human motion analysis pipeline such as human size variation, viewpoint variation, and classification ambiguity. …”
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