… is achieved through machine learning. This research proposes the recognition of American
Sign Language by using Support Vector Machine (SVM) and Convolutional Neural Network (…

… the field of automatic sign language recognition. We focus on the recognition of the signs
or gestures. There are two main steps in building an automated recognition system for human …

… , “Sign language recognition using modelbased tracking and a 3d hopfield neural network,”
Machine … Pentland, “Real-time american sign language recognition using desk and wearable …

… American Sign Language (ASL) substantially facilitates … an ASL recognition system that
uses Convolutional Neural Networks (CNN) in real time to translate a video of a user’s ASL signs …

… recognition of Indian sign language gestures using a powerful artificial intelligence tool,
convolutional neural networks … Selfie mode continuous sign language video is the capture …

… The sign language recognition problem is often limited … recognition of the Sign Language
alphabet is the major task [3]. Characterized by their own rules and grammar, Sign Languages …

… detection of sign gestures. In this paper, we introduce a Sign Language recognition using
American Sign Language. … images of the hand gesture using web camera and the system shall …

… and body movement trajectory, sign language recognition is still … an effective recognition
model to translate sign language into … communicate with normal people through sign language. …

… and body movement trajectory, sign language recognition is still … an effective recognition
model to translate sign language into … communicate with normal people through sign language. …

… This paper is focused on static fingerspelling in ASL language. It is a very significant
portion of sign languages recognition because it is used in many situations such as brands, …