Research ArticleOpen accessEvery word in the titleRecognizing Sign Language Gestures Using a Hybrid Spatio-Temporal Deep Learning ModelMeryem Cherrate, My Abdelouahed Sabri, Ali Yahyaouy, Abdellah AarabRecognizing gestures in American Sign Language (ASL) from video data presents significant challenges due to the intricate combination of hand gestures, facial cues, and body motion. In this work, we introduce a hybrid deep learning framework that integrates Convolutional Neural Networks (CNNs) for extracting spatial characteristics with Long Short-Term Memory (LSTM) networks for capturing temporal sequences. The model was trained … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,056 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of Multi-Layer Perceptron Deep Neural Networks using Genetic Algorithms for Hand Gesture RecognitionKhanh Nguyen-Trong, Thi-Thanh-Tan NguyenApplications of wearable sensors for Hand Gesture Recognition (HGR) have been gaining popularity in recent years. Among the proposed methods, deep neural networks with many hidden layers are promising to address the requirements of this wearable activity recognition. They can directly uncover features tied to the dynamics of HGR, from simple motion encoding in lower layers to more complex motion … …Journal of Computer Science, Vol. 18, Issue 2 · 8 Feb 2022 · 7,184 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titleThe Role of Gesture in the Second Language Learning and TeachingNing Cao, Guanying ChenThis paper outlines the crucial role of gesture in the second Language (L2) learning and teaching. Many studies showed that gesture is a key factor in the second language acquisition since it can help to convey meaning, to compensate for speech difficulties and to enhance memory compared to pure verbal learning. The presence of gestures with a verbal message in … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 4 Jan 2018 · 10,208 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStatic Hand Gestures: Fingertips Detection Based on Segmented ImagesAhmad Yahya Dawod, Md Jan Nordin, Junaidi AbdullahFingertips detection is important for recognition of static gesture in sign language. This paper presents a new method that is based on YCbCr colour space and skeletonization for fingertips detection towards gesture segmentation and recognition. The method begins with the conversion of an image in RGB colour space into YCbCr colour space. Then, the chrominance Cb and Cr are extracted … …Journal of Computer Science, Vol. 11, Issue 12 · 4 Feb 2016 · 7,038 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRemoAct: Portable Projected Interface with Hand Gesture InteractionHussam Saad Adeen, Ayman Atia, Ahmad Amin et al.RemoAct is a wearable depth sensing and projection system that enables interaction on many surfaces. It makes interaction with the environment more intuitive through sharing and sending data with surrounding devices by applying certain gestures. This system offers a mobile and intuitive solution for interacting using a projected surface on habitual flat surfaces. Every user has their public and private … …Journal of Computer Science, Vol. 11, Issue 5 · 4 Aug 2015 · 8,149 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTRACKING THE POSITION OF MULTIPLE HUMAN GESTURES USING CONTOUR MAPPING ALGORITHMT. S. Arulananth, T. Jayasingh, S. RaviThis study relates to a method for determining the position variation (for example a moving object, facial gesture tracking) using markers. The movement is determined based on the periodic frames captured using a camera. The experimental results show that this algorithm can accurately segment human movements from complex background and can greatly reduce the computational workload with less storage memory, … …Journal of Computer Science, Vol. 10, Issue 10 · 22 May 2014 · 6,506 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHead Gesture Analysis using Matrix Group Displacement AlgorithmMahmoud Z. IskandaraniA novel algorithm for head gestures interpretation is designed and tested. The designed system carries out gesture detection and recognition using the MGDA algorithm, which implements random sampling and importance sampling, such technique can track head poses and estimate head positions. Problem statement: Head position is an important indicator of a person’s focus of attention, which can be used as … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,251 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Intelligent Multilingual Mouse Gesture Recognition SystemNidal F. Shilbayeh, Mahmoud Z. IskandaraniA comprehensive mouse gesture system is designed and tested successfully. The system is based on UNIPEN algorithm in terms of mouse movements and applies its geometrical principles such as angles and transposition steps. The system incorporates Neural Networks as its learning and recognition engine. The designed algorithm is not only capable of translating discrete gesture moves, but also continuous sentences … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,131 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Static and Dynamic Gestures Recognition Using Leap MotionBasma Hisham, Alaa HamoudaAcross the world, several millions of people use sign language as their main way of communication with their society, daily they face a lot of obstacles with their families, teachers, neighbours, employers. According to the most recent statistics of World Health Organization, there are 360 million persons in the world with disabling hearing loss i.e. (5.3% of the world’s population), … …Journal of Computer Science, Vol. 13, Issue 8 · 12 Aug 2017 · 8,185 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHand Gesture Recognition for Human-Computer InteractionS. Mohamed Mansoor Roomi, R. Jyothi Priya, H. JayalakshmiProblem statement: With the development of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are not sufficient. Due to the limitation of these devices the useable command set is also limited. Direct use of hands can be used as an input device for providing natural interaction. Approach: In this study, Gaussian Mixture Model (GMM) was used to … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 8,314 accessesView PDFCite