Search Results - motion estimation using evaluation framework

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  1. 1
    Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot

    Zero acceleration algorithm with state of motion identifier for position estimation of wheeled robot by Tan, Zhi Zhong

    Published 2019
    “…In this research, a state of motion identifier framework is proposed to apply a novel kinematic motion constraint to position estimation system. …”
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    Thesis
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  2. 2
    Video-based heartbeat rate measuring method using ballistocardiography

    Video-based heartbeat rate measuring method using ballistocardiography by Hassan, M.A., Malik, A.S., Fofi, D., Saad, N.M., Ali, Y.S., Meriaudeau, F.

    Published 2017
    “…Our proposed framework operates by estimating the motion of multivariate feature points to estimate the heartbeat rate autonomously. …”
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  3. 3
    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence

    Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence by S. S. S. , Ranjit

    Published 2011
    “…These parameters have been used to measure the experimental results. It is the aim of this study that this work provides a common framework with which to evaluate and understand block-based matching motion estimation performance. …”
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  4. 4
    Lower Limb Walking Gait Profiling using Marker-Less Motion Capture to Assist Physiotherapy Treatment

    Lower Limb Walking Gait Profiling using Marker-Less Motion Capture to Assist Physiotherapy Treatment by Azrul Amri, Jamal, Engku Fadzli Hasan, Syed Abdullah, Wan Mohd Rizhan, Wan Idris, Fathurrahman, Lananan, Nor Farahana, Zainul Hisham

    Published 2017
    “…The aims of this research are to develop a framework for walking gait profiling using marker-less motion capture and assist physiotherapy evaluation by comparing walking gait to the profile that has been generated. …”
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  5. 5
    A review on particle swarm optimization algorithm and its variants to human motion tracking

    A review on particle swarm optimization algorithm and its variants to human motion tracking by Saini, S., Rambli, D.R.B.A., Zakaria, M.N.B., Sulaiman, S.B.

    Published 2014
    “…The goal of human motion capture is to estimate the joints angles of human body at any time. …”
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  6. 6
    Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar

    Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar by Ahlad, Kumar

    Published 2016
    “…Several methods have been developed in both spatial and frequency domains to deblur Gaussian and motion blurred images by using iterative methods to estimate the blur parameters. …”
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  7. 7
    Evaluating AI-assisted motion tracking for knee rehabilitation: a comparative analysis of You Only Look Once version 8 (YOLOv8) and MediaPipe

    Evaluating AI-assisted motion tracking for knee rehabilitation: a comparative analysis of You Only Look Once version 8 (YOLOv8) and MediaPipe by Phang, Ing Teck, Ishak, Asnor Juraiza, Ahmad, Siti Anom, Shibata, Tomohiro

    Published 2025
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  8. 8
    An analysis of state covariance of mobile robot navigation in unstructured environment based on ROS

    An analysis of state covariance of mobile robot navigation in unstructured environment based on ROS by Hamzah, Ahmad, Lim Zhi, Xian, Nur Aqilah, Othman, Mohd Syakirin, Ramli, Mohd Mawardi, Saari

    Published 2021
    “…The system is used to define a condition of mobile robot navigation in a specific environment to evaluate the estimation performance. …”
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  9. 9
    Multi-sensor fusion based on multiple classifier systems for human activity identification

    Multi-sensor fusion based on multiple classifier systems for human activity identification by Nweke, Henry Friday, Teh, Ying Wah, Mujtaba, Ghulam, Alo, Uzoma Rita, Al-garadi, Mohammed Ali

    Published 2019
    “…The study proposes a multi-view ensemble algorithm to integrate predicted values of different motion sensors. To this end, computationally efficient classification algorithms such as decision tree, logistic regression and k-Nearest Neighbors were used to implement diverse, flexible and dynamic human activity detection systems. …”
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