Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

16 results for “Gesture Recognition”
Set a search alert
Research ArticleOpen accessPhrase 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 · 7,180 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 7,126 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 8,311 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRemoAct: 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 · 8,146 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSurface Electromyography-Based Facial Expression Recognition in Bi-Polar ConfigurationMahyar Hamedi, Sh-Hussain Salleh, Tan Tian Swee, KamarulafizamProblem statement: Facial expression recognition has been improved recently and it has become a significant issue in diagnostic and medical fields, particularly in the areas of assistive technology and rehabilitation. Apart from their usefulness, there are some problems in their applications like peripheral conditions, lightening, contrast and quality of video and images. Approach: Facial Action Coding System (FACS) and some … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 9,943 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRecognizing 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 · 2,048 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Neural Network for Recognizing Gestural Hindi DigitsNidal Fawzi Shilbayeh, Mohammad Mahmmoud Alwakeel, Maisa Mohy NaserHandwritten Hindi digit recognition plays an important role in eastern Arab countries especially in the courtesy amounts of Arab bank checks, recognizing numbers in car plates, or in postal code for mail sorting. In our study, we proposed an efficient Hindi Digit Recognition System drawn by the mouse and developed using Multilayer Perceptron Neural Network (MLP) with backpropagation. The system … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 6,882 accessesView PDFCite
Research ArticleOpen accessIn the abstractKenyan Sign Language Translation Using SSD MobileNet-v2 FPNlite ModelHenry Muchiri Muriithi, Geoffrey Kasembeli WanjalaSpeech impairment is a disability that impacts an individual's ability to communicate effectively through speech and hearing. Those affected often rely on alternative forms of communication, such as sign language. While sign language has become increasingly widespread in recent years, a significant challenge persists for non-sign language users, particularly in Kenya, where effective communication with sign language users remains a … …Journal of Computer Science, Vol. 21, Issue 1 · 24 Dec 2024 · 5,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Sign Language TranslatorAbdelmoty M. Ahmed, Reda Abo Alez, Gamal Tharwat et al.Development of systems that can recognize the gestures of Arabic Sign language (ArSL) provides a method for hearing impaired to easily integrate into society. This paper aims to develop a computational structure for an intelligent translator to recognize the isolated dynamic gestures of the ArSL. In our proposed system we build a datasets for ArSL from scratch of, we used … …Journal of Computer Science, Vol. 15, Issue 10 · 26 Oct 2019 · 8,362 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatic 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 · 7,032 accessesView PDFCite