Search Results - (( wave applications ((out algorithm) OR (acs algorithm)) ) OR ( vr application using algorithm ))*

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    REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION by P ISKANDAR, YULITA HANUM

    Published 2006
    “…Heuristic algorithm is an important module widely used for humanoid robots and avatars in VR systems. …”
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    Thesis
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    A dataset for emotion recognition using virtual reality and EEG (DER-VREEG): Emotional state classification using low-cost wearable VR-EEG headsets by Nazmi Sofian Suhaimi, James Mountstephens, Teo, Jason Tze Wi

    Published 2022
    “…This study aims to use a virtual reality (VR) headset to induce four classes of emotions (happy, scared, calm, and bored), to collect brainwave samples using a low-cost wearable EEG headset, and to run popular classifiers to compare the most feasible ones that can be used for this particular setup. …”
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    Article
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    Sactive Noise Control Technique Application in Air Conditioning Ducts by Decruz, Aloysius

    Published 2009
    “…An algorithm, ‘Hardware-Tuned Feedback ANC (HTFA)’, has been developed to implement the ANC technique for the noise reduction application in an air conditioning duct element, where Digital Signal Processing is used to sample noise and produce a complete anti-phase noise produced by the HTFA algorithm. …”
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    Thesis
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    Interferometric array planning using division algorithm for radio astronomy applications by Kiehbadroudinezhad, Shahideh

    Published 2017
    “…In the second scheme, a genetic algorithm is developed, in order to optimize a correlator array of antennas by using Genetic Algorithm (GA). …”
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    Thesis
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    Eye fixation versus pupil diameter as eye- tracking features for virtual reality emotion classification by Lim Jia Zheng, James Mountstephens, Jason Teo

    Published 2022
    “…We classified emotions into four distinct classes according to Russell’s four-quadrant Circumplex Model of Affect. 3600 videos are presented as emotional stimuli to participants in a VR environment to evoke the user’s emotions. Three separate experiments were conducted using Support Vector Machines (SVMs) as the classification algorithm for the two chosen eye features. …”
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    Proceedings
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