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Software Requirement Specification

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eayral edited this page Dec 24, 2023 · 22 revisions

1.Introduction

1.1 Purpose

The primary purpose of the "Sign Language to Speech" project is to develop an innovative and inclusive communication system that translates sign language gestures into spoken language. This initiative aims to bridge the communication gap between individuals who are deaf or hard of hearing and those who do not understand sign language. By leveraging advanced computer vision and machine learning techniques, the project seeks to:

1. Enable Effective Communication: Provide a real-time translation solution that allows seamless interaction between sign language users and the general public, fostering inclusivity in various social, educational, and professional settings.

2. Empower Individuals with Hearing Impairments: Enhance the independence and social engagement of deaf and hard-of-hearing individuals by facilitating their communication with a wider audience, beyond those familiar with sign language.

3. Innovate Accessibility Technologies: Push the boundaries of accessibility technology by developing a sophisticated system that accurately recognizes, interprets, and translates sign language gestures through a combination of gesture recognition, hand tracking, and speech synthesis techniques.

4. Create a User-Friendly Interface: Ensure that the technology is accessible and easy to use for all, including those with hearing impairments, by designing an intuitive user interface that simplifies interaction with the system.

Ultimately, the project aspires to create a world where communication barriers for individuals with hearing impairments are significantly reduced, promoting greater inclusion, understanding, and equality in everyday interactions.

1.2 Scope

The "Sign Language to Speech" project encompasses the development of an advanced system that translates sign language gestures into spoken language. This project is defined by several key components and boundaries:

  1. Gesture Recognition: The project will focus on developing a robust algorithm capable of recognizing and classifying a wide range of sign language gestures. This will involve the use of machine learning techniques and the creation or utilization of a comprehensive dataset of sign language gestures.

  2. Hand Tracking: The system will include sophisticated hand tracking capabilities, utilizing computer vision technologies to accurately capture and interpret the hand movements and gestures of the user.

  3. Speech Synthesis: The project will integrate a text-to-speech (TTS) system to convert the recognized sign language gestures into spoken language. This aspect will focus on generating clear and natural-sounding speech that accurately conveys the intended messages.

  4. User Interface Development: A significant part of the project will involve designing and implementing a user-friendly interface. This interface should be accessible and intuitive, catering to the needs of both individuals who are deaf or hard of hearing and those unfamiliar with sign language.

  5. Technology Integration: The project will integrate these components into a cohesive system, ensuring seamless interaction between the gesture recognition, hand tracking, and speech synthesis functionalities.

  6. Testing and Validation: Comprehensive testing will be conducted to ensure the accuracy and reliability of the system. This includes validation of gesture recognition accuracy, speech clarity, and overall user experience.

  7. Accessibility and Inclusivity: Emphasis will be placed on making the system as accessible and inclusive as possible, considering diverse user needs and scenarios where the system could be employed. Out of Scope: • The project will not focus on developing new hardware; instead, it will utilize existing camera or sensor technologies for hand tracking. • The initial version of the project may not support all sign languages globally but might focus on a specific sign language (e.g., American Sign Language) before expanding to others. • While aiming to be as accurate as possible, the system may not cover the entire spectrum of nuances, dialects, or idiosyncrasies found in sign language initially.

  8. General Description

2.1 Glossary

  1. Deaf or Hard of Hearing Individuals: o These users primarily rely on sign language as their mode of communication. They may range from those who were born deaf to those who have experienced hearing loss later in life. The system aims to empower them by facilitating seamless communication with non-sign language users and enhancing their participation in various social, educational, and professional contexts.

  2. Non-Sign Language Users: o This group includes individuals who interact with deaf or hard of hearing individuals but do not know sign language. They might be family members, friends, colleagues, or service providers. The system is designed to assist them in understanding and communicating effectively with sign language users, thereby promoting inclusive interactions.

  3. Educational and Professional Institutions: o Schools, universities, workplaces, and other organizations seeking to create inclusive environments for deaf or hard of hearing individuals fall into this category. These institutions would use the system to facilitate communication, learning, and professional activities, making their spaces more accessible and accommodating.

  4. Accessibility and Inclusion Advocates: o These are individuals or organizations actively working to promote accessibility and inclusion for people with disabilities. They are key in advocating for the adoption of such technologies and may provide valuable feedback on the system’s design and functionality to ensure it meets diverse needs.

  5. Developers and Researchers: o This group includes the technical professionals involved in developing, testing, and refining the system. They require a thorough understanding of both the technological aspects and the user needs. Researchers in this field may also use the system as a study tool to explore further advancements in accessibility technology.

               2.3. Overview of Functional Requirements

The functional requirements of the "Sign Language to Speech" project outline the essential functionalities the system must perform to meet the needs of its users effectively. These requirements define what the system should do, encompassing user interface design, gesture recognition, speech synthesis, and system integration. 2.3.1. Designing User Interfaces: The user interface (UI) design is a critical aspect of the project, as it directly affects user experience and accessibility:

Intuitive Layout: The UI should be straightforward and easy to navigate for all user groups, including those with limited technological proficiency. Accessibility Features: The design must incorporate accessibility standards, such as high-contrast visuals, large buttons, and voice feedback, to accommodate users with varying abilities. Multi-Language Support: Initially focusing on American Sign Language (ASL) and English, the UI should be adaptable for additional languages and sign languages in future updates. Responsive Design: The interface should be responsive and compatible across various devices, including smartphones, tablets, and computers. Real-Time Feedback: Incorporate real-time visual feedback for sign language recognition to assist users in adjusting their gestures for more accurate recognition.

2.3.2. Gesture Recognition and Translation: This section covers the core functionality of translating sign language to spoken language: Accurate Gesture Recognition: Implement advanced algorithms using libraries like OpenPose and MediaPipe for precise detection and interpretation of sign language gestures. Machine Learning Integration: Utilize machine learning models, trained with datasets like Sign Language MNIST, to improve recognition accuracy over time. Speech Synthesis: Integrate a text-to-speech system, such as DeepSpeech, to convert recognized gestures into audible speech in real-time. Continuous Learning: The system should have the capability to update its recognition model with new data to accommodate evolving sign language usage and individual user nuances. User Feedback Mechanism: Include a feature for users to provide feedback on recognition accuracy and system usability, aiding in continuous improvement.

2.4. General Constraints and Assumptions This section outlines the limitations and underlying assumptions that impact the development and deployment of the "Sign Language to Speech" project. 2.4.1. Constraints: • Hardware Limitations: The system's performance is dependent on the quality and capabilities of the camera or sensors used for gesture recognition. Limitations in hardware can affect the accuracy of gesture recognition. • Computational Resources: Real-time processing of sign language gestures into speech requires significant computational power. The system's effectiveness may be constrained by the processing capabilities of the user's device. • Language and Gesture Variability: Initially, the system will focus on American Sign Language (ASL), which may not cover the nuances and variations present in other sign languages. • Data Privacy: Ensuring the privacy and security of users' data, especially when processing potentially sensitive information, is a significant constraint that requires adherence to strict data protection regulations. • Budget and Time: The development of the system is subject to budgetary and time constraints, which might limit the scope of initial releases. 2.4.2. Assumptions: • User Familiarity with Technology: It is assumed that users have a basic understanding of how to operate smart devices and interact with modern user interfaces. • Stable Internet Connection: The system may require a stable internet connection for some functionalities, such as software updates or cloud-based processing. • Consistent Sign Language Usage: The system assumes that users will use standardized ASL gestures. Variations or personal adaptations in sign language might not be accurately recognized. • Availability of Training Data: The development of accurate gesture recognition algorithms assumes the availability of a comprehensive and diverse dataset for training machine learning models. • User Feedback and Adaptation: It is assumed that users will provide feedback on the system's performance, which is crucial for continuous improvement and adaptation of the technology.

3.1 Interface Requirements This section defines the user interface requirements for the "Sign Language to Speech" system. These requirements are crucial for ensuring the system is user-friendly, accessible, and efficient. Account Creation: • An intuitive process for users to create new accounts. • Accessibility features integrated into the account creation process. • Secure handling of personal data and compliance with privacy standards. • User verification mechanisms for account security. License Procurement: • A seamless interface for acquiring or renewing software licenses. • Integration with secure payment systems for license transactions. • Tools for users to manage, view, and update their license information. Camera Setup: • A guided setup for camera or sensor configuration. • Compatibility checks with the user’s camera or sensor devices. • Real-time preview feature during camera setup for optimal positioning. Statistics Access: • A dashboard for users to view statistics related to their system use. • Customizable report generation based on user activity and system interaction. • Adherence to data privacy laws and user control over data sharing.

3.2. Detailed Description of Functional Requirements

This section provides an in-depth look at the functional requirements of the "Sign Language to Speech" system, detailing the essential functionalities that the system must possess to meet user needs and project objectives.

Gesture Recognition Accuracy:

The system must accurately recognize a wide range of sign language gestures. Incorporation of advanced machine learning algorithms for continuous improvement in gesture recognition. Capability to adapt to individual variations in sign language use.

               Real-time Translation:

Ability to translate sign language into spoken language in real-time with minimal latency. Implementation of efficient algorithms to ensure quick processing of data from gesture recognition to speech output.

Multi-Modal Input Integration:

Integration of various input modalities, including hand gestures, facial expressions, and body language, to enhance translation accuracy. Use of advanced computer vision technologies to capture and interpret these multi-modal inputs.

User Interface and Accessibility:

Development of an intuitive and easy-to-navigate user interface. Inclusion of accessibility features such as text-to-speech, high-contrast visuals, and voice commands. Responsiveness across multiple device types and screen sizes.

Privacy and Data Security:

Ensuring user data privacy and security throughout the system. Compliance with relevant data protection laws and regulations. Secure handling and storage of user data, with transparency in data usage.

Cross-Lingual Capabilities:

Ability to translate between different sign languages, enhancing the system’s utility across various linguistic groups. Inclusion of support for multiple spoken languages in the speech output.

Customization and Personalization:

Features allowing users to personalize settings according to their preferences and needs. Adaptability to different user signing styles and preferences for speech output.

System Feedback and Correction:

Provision for real-time feedback to users on their sign language gesture formation. Mechanisms for users to correct and improve their signing skills through interactive guidance.

Integration with External Services:

Capability to integrate with external services and platforms for enhanced functionalities, such as live captioning or extended language support. APIs for third-party integrations and collaborations. 3.2.1. User Authentication User authentication is a critical component of the system, ensuring that access is secure and personalized. Here are the detailed functional requirements for this feature: Secure Login Process: • The system must provide a secure login mechanism for users to access their accounts. • Implementation of strong encryption for user credentials during transmission and storage. • Option for two-factor authentication (2FA) to enhance security. Password Management: • Users should be able to easily create, reset, and recover passwords. • Password strength requirements to ensure the creation of robust passwords. • Mechanisms for notifying users of unusual login activities or security breaches. Biometric Authentication (Optional): • If feasible, integration of biometric authentication options such as fingerprint scanning or facial recognition for quick and secure access. • Ensuring that biometric data, if used, is stored and processed with high security and privacy standards. Session Management: • Automatic logout after periods of inactivity for security purposes. • User sessions should be securely managed to prevent unauthorized access during active sessions. User Account Verification: • Email or phone verification for new accounts to confirm the identity of the user. • Regular prompts for users to update or verify their account details. Privacy Settings: • Users must have control over their privacy settings, allowing them to manage what information is visible to others or used by the system. • Clear and accessible privacy policy and user agreement. Access Control: • Differentiation of user roles and permissions, if applicable, to ensure that users have access only to the features relevant to their role. • Regular updates and audits of access controls to maintain system integrity.

These user authentication requirements are designed to ensure that the system maintains high standards of security and privacy while being user-friendly and accessible.

3.2.2. Email Verification Email verification is a crucial process in the user authentication and account management system. It ensures the validity of the user's email address and enhances overall security. Initial Account Verification: • Upon account creation, the system must automatically send an email to the user's provided email address. • This email should contain a verification link or code that the user must click or enter to activate their account. • The system should provide clear instructions and user guidance in the verification email. Verification Link Security: • The verification link must be securely generated and unique to each user. • The link should have an expiration time to ensure security (e.g., 24 hours). • In case of an expired link, users should have the option to request a new verification email. User Feedback on Verification Status: • After the user clicks the verification link, the system should confirm the successful verification and direct them to a confirmation page or their user dashboard. • In case of issues or errors in verification, the system must provide clear error messages and guidance on how to resolve the issue. Resend Verification Email: • Users should have the option to resend the verification email if needed, accessible through the login interface or account settings. Email Change Verification: • If a user changes their email address in account settings, the system must trigger a new verification process for the new email address. • The account’s email-related functionalities should be restricted until the new email address is verified. Security Notifications: • The system should notify users of important account activities related to email changes or verification status, enhancing account security and user awareness. Integration with Authentication System: • The email verification process should be seamlessly integrated with the overall user authentication system, ensuring a smooth user experience.

These email verification requirements aim to ensure that the system maintains secure and effective user account management, preventing unauthorized access and enhancing overall system integrity.

3.2.2. Email Verification • Process: Automated email sent upon account registration or email update with a unique, time-sensitive verification link or code. • Security: The verification link must be encrypted and user-specific. It should expire within a reasonable timeframe to ensure security (e.g., 24 hours). • User Interface: Clear instructions in the email, user-friendly interface on the verification landing page, and instant feedback on the success or failure of the verification process. • Resend Option: Users should be able to request a new verification email if the original expires. 3.2.3. License Management • License Acquisition: Secure and streamlined process for purchasing and renewing licenses, with support for multiple payment methods. • License Administration: User interface for managing licenses, including viewing current status, renewal dates, and options for upgrades or changes. • Integration: Seamless integration with the overall system for real-time license status updates and access control based on license validity. 3.2.4. Camera Configuration • Setup Wizard: A step-by-step guide to assist users in setting up and configuring their camera or sensor, with automatic detection of connected devices. • Compatibility and Optimization: The system should automatically detect the camera model and suggest optimal settings. A manual override option for advanced users. • Real-Time Preview: An integrated feature that allows users to see what the camera captures in real-time, aiding in adjusting angles and positions for optimal gesture recognition. 3.2.5. Zone Definition • Customization: Users should be able to define and customize zones within the camera’s field of view where gesture recognition will be active. • Interface: An intuitive interface for drawing or selecting zones, with the ability to save and modify them as needed. • Integration: Close integration with the camera setup to ensure that zones are accurately mapped and responsive to the camera’s positioning. 3.2.6. Object Counting and Tracking • Object Identification: Ability to identify and count specific objects (e.g., hands, fingers) within the defined zones. • Real-Time Tracking: Continuous tracking of objects in motion, with minimal lag or error. • Data Output: Display and storage of counting and tracking data for user access and analysis. 3.2.7. Data Processing • Efficiency: Fast and accurate processing of input data from camera feeds, with minimal latency. • Privacy: Ensure all data processing complies with privacy standards and regulations, with secure handling and storage of user data. • Adaptability: Capability to process data from various camera types and in different environmental conditions.

3.2.8. Statistical Visualization • Dashboard: A comprehensive dashboard displaying key statistics and trends in a user-friendly format. • Customization: Allow users to customize the data they wish to see and the format of visualization (graphs, charts, etc.). • Historical Data: Access to historical data for comparison and analysis over time. 3.2.9. User Password Reset • Secure Process: A secure, user-friendly process for password resetting, including identity verification steps. • Email Link/Code: Sending a password reset link or code to the user’s registered email. • Feedback: Clear instructions and feedback during the password reset process, with user support options for troubleshooting. 3.2.10. Error Handling and Logging • Error Detection: Prompt detection and handling of system errors to minimize user impact. • Logging: Comprehensive logging of errors for system diagnosis and improvement. • User Notifications: Clear and informative error messages to users, with guidance on resolution or alternative actions.

3.3. Detailed Description of Non-Functional Requirements 3.3.1. Security • Encryption: Strong encryption of user data, both in transit and at rest. • Regular Audits: Frequent security audits to identify and address vulnerabilities. • User Authentication: Robust user authentication mechanisms to prevent unauthorized access. 3.3.2. Performance • Speed: High processing speed to handle real-time data with minimal lag. • Resource Management: Efficient use of computational resources to optimize performance. • Scalability: Ability to scale resources in response to varying loads. 3.3.3. Fault Tolerance • Redundancy: Implementation of redundancy in critical system components to prevent total system failure. • Recovery Mechanisms: Quick recovery processes for system errors or failures. • Continuity: Ensuring system continuity and availability during fault conditions. 3.3.4. Maintainability • Code Quality: Well-documented, clean, and modular code to facilitate easy maintenance and updates. • Update Mechanism: Streamlined process for deploying system updates and patches. • Support Infrastructure: Adequate support infrastructure for system maintenance and troubleshooting. 3.3.5. Internationalization and Localization • Language Support: Support for multiple languages in the user interface. • Cultural Adaptability: Adaptation to regional differences in terms of data formats, time zones, etc. • Locale Customization: Allowing users to set and change their locale settings. 3.3.6. Server System Capacity • Load Handling: Adequate server capacity to handle peak loads and data processing demands. • Expandability: Capability to expand server resources in line with user growth and data volume. • Monitoring: Continuous monitoring of server performance and capacity. 3.3.7. Connection • Stability: Consistent and stable network connections. • Diverse Connectivity Support: Compatibility with various network types and speeds. • Graceful Degradation: Capability to maintain essential functions during connectivity issues. 3.3.8. Usability • User-Centric Design: Interface designed for ease of use, with intuitive navigation and clear instructions. • Accessibility: Inclusion of features for users with disabilities. • Consistency: Uniform user experience across different platforms and devices. 3.3.9. Documentation • Comprehensiveness: Detailed and clear documentation covering all aspects of the system. • Accessibility: Easy access to documentation, formatted for clarity and comprehension. • Up-to-Date: Regularly updated documentation to reflect the current state of the system. 3.3.10. Data Accuracy • Validation: Mechanisms in place for validating input data for accuracy. • Error Checking: Processes for regularly checking and correcting data errors. • Continuous Improvement: Ongoing efforts to improve the accuracy of data processing and output.

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