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284 articles for “Sign Language”
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Sign Language and Face Expression Recognition Using Neural Networks: Deep Learning Approach to Break Communication Barriers
Abstract: Our study proposes a multimodal gesture recognition system specifically designed to aid communication for the deaf community. By employing neural network concepts, we utilize 3D convolutional neural networks (3D CNNs) to extract features from both hand and face images, focusing on relevant regions. Preprocessing techniques are applied to isolate these areas of interest prior to feature extraction. Unique 3D CNN architectures are then trained for each modality to capture the …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Empowering Communication: A Review of Sign Language Translation Systems Powered by Machine Learning
Abstract: This research study offers a fresh solution to the communication gap between the hearing population and the deaf and hard-of-hearing community: the creation of a machine learning-based sign language translator. By utilizing cutting-edge K Nearest Neighbour (K-NN), the system effectively converts sign language motions into text and vice versa, facilitating smooth communication between sign language users and well-read people. The basis of the project is thorough data collection and careful …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 25–31 Read article
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Translation Issues and Problems in Automation of Sign Language
Abstract: Over 466 million people, including 432 million adults and 34 million children, have hearing impairments globally. Deaf persons have extremely little or no access to educational resources and other types of information. While visiting or traveling in public locations in the absence of a sign interpreter, members of the deaf community are typically in an uncomfortable situation. Public announcements made in public spaces are incomprehensible to deaf persons. Without the …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article
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AI Role in Sign Language Interpretation
Abstract: People who are mute or deaf encounter communication challenges when interacting with others. It can be difficult for individuals with similar conditions to effectively convey their thoughts, especially when not everyone understands sign language. This article aims to create a Data Acquisition and Control (DAC) system capable of translating sign language into written text that can be comprehended by a wider audience. This system is referred to as the “Sign …
Published in Journal of Open Source Developments · Vol. 10, Issue 2, 2023 · pp. 48–54 Read article
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A Study of ROI Based Sign Language to Text Translation in Real Time Using Deep Learning
Abstract: Since sign language is their primary form of communication, it plays a significant role in the lives of hearing and speech disabled people. However, since not everyone is conversant in sign language, it is challenging for the disabled to interact with others daily. Sign language is made up of a variety of hand gestures that may stand in for a wide range of words and sentiments. The purpose of this …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Real-Time Sign Language to Speech Conversion Glove Using Arduino and Wearable Sensors
Abstract: This research work presents the design and development of a low-cost, wearable glove system for real- time sign language to speech conversion. The system employs an Arduino microcontroller integrated with flex sensors and an accelerometer to accurately detect hand gestures. The system translates hand gestures into audible speech through Bluetooth communication, enabling seamless interaction for hearing-impaired individuals. By converting sign language into speech in real-time, it significantly enhances communication accessibility …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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Sign Language-enabled Offline IP-based Video Call Intercom System for the Deaf
Abstract: Individuals who are deaf or hard of hearing frequently encounter major communication challenges on digital platforms because sign language support is often insufficient. This study presents a real-time, internet-independent sign language-to-text translation system embedded in an offline IP-based video intercom, designed to facilitate seamless communication. Leveraging TensorFlow’s Convolutional Neural Network (CNN) for classification and MediaPipe for hand tracking, the system achieved a training accuracy of 94.24% and a validation accuracy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 53–66 Read article
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AI-Based Indian Sign Language Translator
Abstract: Indian sign language (ISL) is the primary form of communication for a large number of deaf and hard-of-hearing people within the Indian subcontinent. However, their interactions with non-signers remain limited, mainly due to the absence of tools that could translate sign language in real time. The present study aims to develop an ISL translation system powered by AI that can automatically convert sign gestures into readable text or spoken output. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 · pp. 23–31 Read article
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Segmentation and Classification of Hand Gestures for Indian Sign Language with YCbCr and HSV Color Models with Dissimilar Signers Under Different Lighting Conditions using AlexNet
Abstract: Indian Sign Language (ISL) Recognition System can be implemented by considering the signs as hand gestures and developing a hand gesture recognition system. The impact of illumination changes on the performance of segmentation and classification where different lighting conditions such as normal, bright, dim, and artificial light under different color spaces like RGB, HSV and YCbCr are studied, and performance parameters are analyzed. It is observed that YCbCr color space …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 37–50 Read article
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Sign Language Recognition Using Deep Learning
Abstract: People with hearing/speech disabilities use sign language to communicate their thoughts and feelings, but non-disabled people often find it hard to comprehend these hand gestures since they do not know sign language. This project aims to create a system that uses MediaPipe, LSTM and Keras for sign language recognition. The webcam will capture video footage of people performing sign language gestures, then MediaPipe will extract and identify the hand landmarks …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 35–43 Read article
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Integrating Deep Learning and Computer Vision for Recognizing American Sign Language
Abstract: The only way the hearing-impaired community can exchange ideas is by utilizing non-verbal communication. The main challenge, however, is that the non-impaired community, which may not comprehend non-verbal communication, would struggle to communicate effectively with this group, and vice versa. The project is purposely devised to admit unwilling and dumb societies to transport ideas and connect with the organization. It aims to bridge the gap between the hearing- and speech-impaired …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 10–17 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 Read article
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Real-time Sign Language Detection Using Computer Vision and Machine Learning Techniques
Abstract: Communication plays an important role in our day-to-day lives as it assists people in sharing, and connecting to each other. Despite knowing the significance of the same, some deaf-mute pupils who are not able to communicate freely. These groups of people use sign language for sharing their thoughts. It could be a tough task to understand sign language for a group of humans who are not deaf-mute. We developed a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 1, 2023 · pp. 10–19 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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Gesture Connect Gesture Recognition for Sign Language
Abstract: A natural method of human-computer interaction, hand gesture recognition is a hot topic in computer vision and machine learning research. This field offers a wide range of potential applications, allowing users to interact with robots and system interfaces in a more straightforward and natural way without requiring additional hardware. One of the primary goals of gesture recognition research is to create systems that can identify gestures and use them to …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 32–41 Read article
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Maadhyam: Sign Language Translator (ASL)
Abstract: There are several million deaf and dumb people around the world and their only means of communication is sign language. They are usually not able to receive education and even some of them are unemployed due to lack of communication. This often leads to mental health issues among them. Deaf and dumb people rely on sign language interpreters for communications because other people do not prefer learning their language. However, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 42–50 Read article
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Express-U: Real-time Indian Sign Language Recognition
Abstract: This study describes a system that recognizes Indian Sign Language (ISL) hand poses and gestures in real time using the Hand Tracking Algorithm and the LSTM Deep Learning model. This approach aims to close the communication gap between those who are deaf or hard of hearing and the rest of society. Existing solutions either have a low level of accuracy or do not operate in real time. On both measures, …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 17–22 Read article
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An Approach to Recognizing Numerals and Alphabets Signs for Impaired People
Abstract: Abstract: Sign Language is the language used by deaf and dumb people for communication in their day to day life. Every nation has its own sign language. Indian people use Indian Sign Language. Generally, other sign languages such as ASL (American Sign Language) and BSL (British Sign Language) are single-handed sign language while ISL is the language which uses both hands to make signs. So, it is difficult to exactly …
Published in Journal of Open Source Developments · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Sign Talk for Blind and Deaf Translating Hand Gestures into Audible and Textual Communication
Abstract: Sign language serves as a vital communication method for individuals who are deaf or have hearing impairments. It relies on hand gestures, facial cues, and body language to convey messages and express meaning. However, many people who do not know sign language find it hard to communicate with sign language users. The latest progress in artificial intelligence and computing has enabled the creation of systems that can automatically recognize sign …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 20–26 Read article