SignWay

Introduction

SignWay is an innovative AI-powered system with the objective to bridge the deaf-hearing communication gap by offering online ISL to text/speech translation through the strength of artificial intelligence, machine learning, and natural language processing. The objective is to enable smooth conversion of English text and speech input to ISL and vice versa, i.e., ISL gestures to text or speech.

This cutting-edge system will bridge the communication gap between the deaf and hearing communities, and persons with hearing disabilities will become productive members of society. The core of this initiative is the development of a robust dataset, from scratch, to capture the distinct grammatical constructs and contextualized aspects of ISL. The system utilizes technologies such as TensorFlow for model training and Unity for user engagement. The initiative is to enhance translation quality and responsiveness in handling various use cases.

Objectives of SignWay :

• Develop a Highly Accurate ISL Generator: Design a highly accurate and efficient AI-driven system to translate from text and speech to ISL gestures and vice versa with ease.

• Create a Rich ISL Dataset: Gather a rich and sizable dataset of ISL signs that capture the nuances of an individual's personal dialect, regional variations, and cultural diversities.

• Make it User-Friendly: Design a user-friendly interface that is easy to use by users of all technological proficiency levels.

• Promote Inclusivity: Inculcate inclusivity in society by breaking down communication barriers and empowering the deaf community.

• Work with Experts: Work very closely with linguists, sign language specialists, and technologists to ensure the accuracy and cultural sensitivity of the system.

• Create a Supportive Online Community: Create an online community where the deaf can come together, share information, and live life together.

Through these goals, SignWay will greatly improve the lives of the hearing impaired. SignWay program will bring the deaf community into contact with education, employment, and human interaction, towards a more inclusive and equitable society.

Proposed System

This system will revolutionize communication by automatically converting spoken and written language to sign language movements and vice versa. Employing advanced AI techniques, such as computer vision, natural language processing, and machine learning, SignWay will provide live translation, be capable of handling multiple sign languages, and possess a simple-to-use interface.

The system architecture includes the following elements:

• Video Input: Supports video input from multiple sources, such as webcams and cell phones.

• Preprocessing: Preprocesses the input video for enhanced image quality and feature extraction.

• Feature Extraction: Extracts the significant features of the video frames, such as hand and facial landmarks.

• Model Training: Trains a deep model on a large dataset of sign language videos in order to accurately recognize and synthesize sign language gestures.

• Sign Language Recognition: Applies the learned model to identify sign language movement in real-time.

• Natural Language Processing (NLP): Converts the sign language movements recognized into text or speech.

• User Interface: Offers a simple-to-use interface for input and output, enabling users to communicate with the system.

Impact and Future Scope Initial trials have been encouraging, laying the foundation for the system's potential application in schools, offices, hospitals, and public spaces. In spite of challenges such as data scarcity and linguistic variability, innovative measures are proposed for future tuning to enhance the model's robustness. Technology's contribution to changing the face of accessibility and inclusivity is highlighted in this study. By facilitating access to equal communication between hearing and hearing-impaired individuals, the ISL generator is among the initiatives towards empowering the underrepresented groups and creating an inclusive society.

Conclusion

SignWay aims to encourage accessibility for the deaf community and is scalable in that the system is capable of supporting more than a single sign language, upon addition of an intuitive user interface. System performance is, however, limited by dependence on a large training set and will be dependent on video quality, lighting, and user-sign language style. Overall, SignWay is a significant breakthrough in building accessible communication with AI and deep learning, with continuous improvement towards peak performance and accuracy.