Browsing Department of Electrical Engineering by Author "c5526237-57f7-4265-bb07-ff24b1939c32"
Now showing items 1-11 of 11
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Continuous Arabic Sign Language Recognition in User Dependent Mode
Assaleh, Khaled; Shanableh, Tamer; Fanaswala, Mustafa; Amin, F.; Bajaj, H. (Scientific Research, 2010)Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this ... -
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
Al-Tayyan, Amer; Assaleh, Khaled; Shanableh, Tamer (Elsevier, 2017)Gait Recognition is one of the latest and attractive biometric techniques, due to its potential in identification of individuals at a distance, unobtrusively and even using low resolution images. In this paper we focus on ... -
Feature modeling using polynomial classifiers and stepwise regression
Shanableh, Tamer; Assaleh, Khaled (Elsevier, 2010)In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as ... -
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
Tubaiz, Noor Ali; Shanableh, Tamer; Assaleh, Khaled (IEEE, 2015)In this paper we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences using an 80-word lexicon. In the ... -
H.264/AVC Motion Vector Concealment Solutions Using Online and Offline Polynomial Regression
Shanableh, Tamer; Assaleh, Khaled (Springer, 2015)This paper introduces two polynomial regression solutions for error concealment by predicting the values of motion vectors of lost macroblocks. The two solutions are online and offline polynomial regression modeling. In ... -
Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation
Mahmoud, Rwan Adil Osman; Shanableh, Tamer; Bodala, Indu P.; Thakor, Nitish V.; Al-Nashash, Hasan (IEEE, 2017-07)This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload ... -
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
Tuffaha, Mohammed; Shanableh, Tamer; Assaleh, Khaled (Springer, 2015)This paper proposes a novel approach to continuous Arabic Sign Language recognition. We use a dataset which contains 40 sentences composed from 80 sign language words. The dataset is collected using sensor-based gloves. ... -
Robust Polynomial Classifier Using L1-norm minimization
Assaleh, Khaled; Shanableh, Tamer (Springer, 2010)In this paper we present a robust polynomial classifier based on L1-norm minimization. We do so by reformulating the classifier training process as a linear programming problem. Due to the inherent insensitivity of the ... -
Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
Shanableh, Tamer; Assaleh, Khaled; Al-Rousan, Mohammad (IEEE, 2007)This paper presents various spatio-temporal feature-extraction techniques with applications to online and offline recognitions of isolated Arabic Sign Language gestures. The temporal features of a video-based gesture are ... -
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
Shanableh, Tamer; Assaleh, Khaled (Springer, 2007)This work introduces two novel approaches for feature extraction applied to video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion ... -
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
Shanableh, Tamer; Assaleh, Khaled (Elsevier, 2011)This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the ...