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284 articles for “Sign Language”
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Hand Gesture Recognition using Machine Learning and OpenCV
Abstract: People who are deaf or dumb use sign language to communicate with one another and within their own communities. The process of computer recognition of sign language begins with learning sign gestures and progresses until text or speech is generated. Static and dynamic sign gestures are the two categories. Although static gesture recognition is simpler to use than dynamic gesture recognition, both gesture recognition systems are essential to the survival …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 23–33 Read article
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Gesture Vocalizer Using Arduino
Abstract: Science and technology have been an indispensable part of our lives, driving innovation and transforming the way we communicate. Communication barriers between the hearing-impaired and the hearing population pose significant challenges in daily interactions. Sign language, a primary mode of communication for the deaf and mute communities, is not universally understood by the general public. This research work presents a novel system for real-time sign language to speech conversion, aiming …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 14–25 Read article
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CNN based Gesture Recognition for ISL
Abstract: AbstractGesture recognition has always been at a peak when it comes to computer vision and human-computer interaction (HCI). Hand gestures can be used for interaction with systems like managing UAVs, medical devices, videogames, etc. In this paper, the main focus is on handicapped people, who are physically unable to speak or listen. With the help of computer interaction, gestures will be recognized. As, the same gesture by another people differs, …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 11–19 Read article
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An Analytical Study of Communication Challenges Faced by Deaf Children: Barriers, Strategies, and Solutions
Abstract: As social beings the use of communication is a basic need that has to be met at all times; however, children with deafness encounter many barriers that prevent them from socializing and to a greater extent integrating into the society. This scholarly research work therefore seeks to examine and synthesise the communication difficulties faced by the young deaf, understand the reasons behind such difficulties, and examine ways by which the …
Published in International Journal of Children · Vol. 2, Issue 2, 2025 · pp. 13–17 Read article
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Development of 3D Avatar based ISL Dictionary for Public Places Terminology
Abstract: A synthetic animated Indian Sign Language (ISL) dictionary could be a great tool for deaf people to communicate their thoughts, opinions, and ideas to hearing people in the current computerized era. There is currently no ISL synthetic animated dictionary designed specifically for public places, despite the fact that there are numerous human-based video dictionaries available. In this article, the creation of a 4231-word ISL dictionary for various public places terminology …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 · pp. 77–82 Read article
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Air Touch Mouse Interface
Abstract: The “Air Touch Mouse Interface” introduces a groundbreaking method for human–computer interaction (HCI) by utilizing hand gestures captured through web cameras to control cursor movements without physical input devices. This project investigates the feasibility and effectiveness of employing image processing techniques to interpret hand gestures as mouse inputs, thereby enhancing the accessibility and versatility of computing interfaces. By eliminating the dependency on traditional mice and mouse pads, the proposed interface …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 1–16 Read article
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ASL Mobile Translator with CNN Algorithm
Abstract: There are around 63 million people in India with speech and hearing disabilities, and the number goes all the way up to 300 million across the world. All of them face issues in their day-to-day life as they can only have conversations with gestures. American Sign Language (ASL) mobile translator with convolutional neural network (CNN) algorithm is an easy-to-use mobile application, which uses complex images and video recognizing models built …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 31–38 Read article
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Sign To Speech Converter For Hard To Hear And Speech Impaired People
Abstract: An enormous populace in India alone is of the hard of hearing and disabled individuals. So the framework is dealing with a glove based gadget which will be utilized for change of communication through signing to discourse. The gesture-based communication glove comprise of a straightforward hand gloves fitted with flex sensors which is being utilized for the checking how much curve on the fingers. Flex implies bend, this is the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 42–47 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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An Interface for Communication for the Deaf Using Hand Gesture Recognition through Computer Vision and Natural Language Processing
Abstract: Hand gesture recognition is essential for conquering various challenges and improving human existence. A machine’s capacity to interpret human behaviors and their significance is being used in a large range of applications. Sign language recognition is one area of particular attention. This study will provide a deep analysis of use cases and technologies utilized now for current gesture recognition of hand, recognition of sign language, research done on it and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 9, Issue 3, 2022 · pp. 25–40 Read article
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Gesture to Speech Recognition for Deaf and Dumb People
Abstract: The main aim of this project is to extend the human right of communication to a larger audience. There are 70 million people who are deaf in the world, but many do not know how to communicate with this community. To overcome this real time issues, our smart gloves are very useful to translate sign language into text and audio.The smart glove is normal cloth driving glove that recognizes hand …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 2, 2020 · pp. 17–20 Read article
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An Outline of Receiver Device Or Gesture Device Components
Abstract: In the new era of computer science & language technology, Signal acknowledgement is a varied topic with the aim of taking human motions through mathematical algorithms. Signals can create from any physical motion or state then commonly initiate from the face or hand. Present emphases in the field comprise emotion acknowledgment from the face and hand motion response. Various methods have been completed using cameras and computer vision algorithms to …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 3, 2019 · pp. 21–25 Read article
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Bi-Lateral Interactive Device for Deaf
Abstract: AbstractThis paper proposes an assisting system which will help hearing impaired people to communicate with normal people so that world could understand them better. This basically converts Indian sign language to speech and then the corresponding speech from the normal person will be translated into sign language, by this way our system eliminates the need of a third party and reduces the discomfort in the interactions. Gestures from deaf serve …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 2, 2019 · pp. 1–4 Read article
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PHOENIX SYSTEM: A Tap for the Better Life
Abstract: AbstractNowadays, lots of people are deaf and dumb. They have problems in their living existence. Communications between normal person and a deaf-dumb people have always been a challenging task. The preference in embedded systems provides platform to design and develop a sign language translator system to benefit the deaf and dumb people; there exists a number of supportive tools. The main objective is to develop a real time embedded device …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 6–10 Read article
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Gesture Identification in Children with Hearing Impairment: A Comparative Study
Abstract: Gestures are used during verbal communication naturally and spontaneously by individuals across age, culture and different background. Gestures and speech have a strong association and they share properties across temporal, structural and meaning aspects. Literature has shown pronounced link between gesture and speech however, there have been convincing and contradictory findings of the potential link of gestures and speech. So, there exists a need to further study gestural ability HI …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 10, Issue 1, 2021 · pp. 13–18 Read article
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Hand Gesture Recognition
Abstract: The goal of this research is to detect and recognize hand motions. Photographs of hand gestures are captured using a camera and compared to images in the database; all images are divided in testing and training data set and converted into train. Record and test. record. This. records file trained in TensorFlow Mobile Net pre trained model. Loading of this model using karas gives us the best match of video …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 2, 2022 · pp. 7–15 Read article
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Hand Gesture Recognition
Abstract: The purpose of hand gesture is to provide attractive alternative to slow and complex inefficient device for human machine interaction. The interpretation of hand signs can help in easy naturalness in human machine interaction. Hand Gesture recognition will also provide with easy user-friendly interaction with the computer [1]. Hand gesture recognition is used for various purposes e.g. for driving a vehicle we can use hand gesture, new game technology and …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 2, 2018 · pp. 22–25 Read article
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RF Based 3-Axis Robotic Arm using MEMS
Abstract: This 3-axis MEMS accelerometer are used in various applications like human–machine interactive games; for this application, hand gesture problem is used. This setup includes a number of 3-axis accelerometers on fingers and back of the palm to measure dynamic and static gestures, a programmable microcontroller to detect hand postures of American Sign Language and send them to a host via serial communication and analog multiplexer. The apparatus consists of sensors …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 3, 2018 · pp. 15–20 Read article
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Sign to Speech Conversion for Mute Community
Abstract: Abstract –The mute community around the globe has a hard time communicating with the rest of the world’s population. This communication gap is there because a dumb person uses sign language which is not comprehensible by a normal person. In this project, we are using sensors which are incorporated on a glove to detect a gestures and convert into speech with help of Bluetooth module. It will help in producing …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 2, 2019 · pp. 18–21 Read article
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Hand Gesture Recognition Systems: A Review of Vision-based and Sensor-based Approaches
Abstract: With many real-world uses, such as sign language translation and human-computer interaction, hand gesture detection is a crucial area of study in the science of computer vision. In this study, we propose a Convolutional Neural Network (CNN) model that uses real-time camera images to recognise hand gestures. A collection of hand motion photographs spanning the English alphabet (A-Z) was gathered, and the images were pre-processed to exclude any backdrop and …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article