Search Results - (( development disable detection algorithm ) OR ( java application customization algorithm ))
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Detection of Malaysian sign language with single shot detector algorithm/ Nurfarah Idayu Mohamad Fauzi, Shahirah Mohamed Hatim and Zalikha Zulkifli
Published 2023“…To address this issue, the research introduced a simple mobile application for that could potentially increase interest and awareness in sign language and promote greater inclusivity for individuals with disabilities. Single Shot Detector (SSD) algorithm was implemented to perform the Malaysian Sign Language object detection in the application. …”
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An amplitude independent muscle activity detection algorithm based on adaptive zero crossing technique and mean instantaneous frequency of the sEMG signal
Published 2017“…A new algorithm has been developed to detect the presence of muscle activities in weak and noisy sEMG signals. …”
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Fetal heart rate monitoring during pregnancy for assessing the well being of the fetus
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Malaysian sign language detection using SSD real-time object detection / Nurfarah Idayu Mohamad Fauzi ... [et al.]
Published 2022“…Single- shot detector (SSD) Algorithm is implemented to perform the detection. …”
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Amplitude independent muscle activity detection algorithm of soft robotic glove system for hemiparesis stroke patients using single sEMG channel
Published 2020“…Many algorithms have been developed in the literature to detect muscle activities; however, most of these algorithms depend on amplitude features in the detection process. …”
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Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold
Published 2020“…In this paper, an amplitude-independent algorithm had been developed with an adaptive decision threshold; the algorithm employed only frequency features of the sEMG signal to detect muscle activities. …”
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Multivariate EEG signal processing techniques for the aid of severely disabled people
Published 2022“…Two fundamental objectives for BCI based on motor movement imagery from multichannel signals are aimed at in this research work: i) to develop a technique of multivariate feature extraction for motor imagery related to multichannel EEG signals; and ii) to develop an appropriate machine learning based feature classification algorithm for Brain Computer Interface. …”
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Soft robotic glove system controlled with amplitude independent muscle activity detection algorithm by using single sEMG channel
Published 2018“…In this paper, a real time muscle activity detection algorithm has been developed to control a pneumatic actuated soft robotic glove intended for patients with grasping impairment. …”
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Detection of muscle activities in the sEMG signal by using frequency features and adaptive decision threshold
Published 2020“…In this paper, an amplitude-independent algorithm had been developed with an adaptive decision threshold; the algorithm employed only frequency features of the sEMG signal to detect muscle activities. …”
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Brain computer interface based wheelchair for disable people using electroencephalography signal
Published 2017“…However, an advanced and simple classification algorithm for motor imagery related BCI system has already been developed with Mahalanobis Discriminant Analysis (MDA) technique. …”
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Proceeding Paper -
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Brain computer interface based wheelchair for disable people using electroencephalography signal
Published 2018“…However, an advanced and simple classification algorithm for motor imagery related BCI system has already been developed with Mahalanobis Discriminant Analysis (MDA) technique. …”
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Phishing attack detection using machine learning method
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Undergraduates Project Papers -
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Electroencephalogram signal interpretation system for mobile robot
Published 2013“…Using sample datasets, the EEG signal is analyzed to determine the most suitable scalp area for P300 detection, while optimization with genetic algorithm (GA) is developed to select best four channels. …”
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Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve hig...
Published 2022“…Therefore, it is critical to develop a smart fall detection system. Many approaches have been proposed in wearable-based systems. …”
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