Functional requirements of Gesture Recognition System for Human-Computer Interaction with non-functional

Functional Requirements

1. Gesture Detection and Recognition
   • Gesture Detection: Detect and track user gestures using input devices such as cameras, sensors, or wearables.
   • Gesture Recognition: Recognize predefined gestures and map them to specific commands or actions within the system.
   • Gesture Customization: Allow users or administrators to define and customize gestures and their associated actions.
2. Real-Time Processing
   • Latency: Process gestures in real-time to ensure immediate response and interaction.
   • Data Processing: Handle data from input devices, including filtering and analyzing to improve accuracy and reduce noise.
3. User Feedback
   • Visual Feedback: Provide visual feedback on the screen to confirm gesture recognition and interaction.
   • Audio Feedback: Offer optional audio cues to enhance the user experience and confirm actions.
4. Gesture Mapping
   • Action Mapping: Map recognized gestures to specific commands, functions, or interactions within the application or system.
   • Application Integration: Ensure integration with various applications or systems to support gesture-based interactions.
5. User Profiles and Customization
   • Profile Management: Allow users to create and manage profiles, including saving personalized gesture settings and preferences.
   • Personalization: Enable users to customize gestures and their mappings according to their preferences or needs.
6. Calibration and Training
   • Calibration: Provide tools for users to calibrate input devices and ensure accurate gesture recognition.
   • Training Mode: Include a training mode to help users practice and learn gestures, with guidance on proper gesture execution.
7. Error Handling and Recovery
   • Error Detection: Implement mechanisms to detect and handle errors or misinterpretations of gestures.
   • Recovery: Provide options for users to correct errors or reinitialize gesture recognition when needed.
8. Integration and Compatibility
   • Hardware Integration: Support integration with various hardware devices used for gesture input, such as cameras, motion sensors, or gloves.
   • Software Integration: Ensure compatibility with different software environments and applications where gesture recognition is used.
9. Accessibility Features
   • Adaptive Gestures: Support adaptive gestures for users with disabilities, ensuring inclusivity and ease of use.
   • Assistive Technologies: Integrate with assistive technologies to enhance accessibility and user interaction.
10. Logging and Analytics
    • Usage Tracking: Track and log gesture usage and system interactions for analysis and improvement.
    • Analytics: Provide analytics on gesture recognition performance and user interaction patterns.

Non-Functional Requirements

1. Performance
   • Response Time: Ensure minimal latency in gesture detection and recognition to provide a seamless user experience.
   • Throughput: Handle high volumes of gesture input and interactions efficiently.
2. Usability
   • User Interface: Design an intuitive and user-friendly interface for gesture setup, calibration, and interaction.
   • Training Materials: Provide documentation, tutorials, and help resources to assist users in learning and using gestures effectively.
3. Reliability
   • System Stability: Ensure the system remains stable and performs reliably under various operating conditions.
   • Fault Tolerance: Implement fault-tolerant mechanisms to handle system errors and continue operation without significant disruption.
4. Security
   • Data Privacy: Protect user data, including gesture data and profiles, from unauthorized access and breaches.
   • Authentication: Implement authentication mechanisms to secure user profiles and settings.
5. Scalability
   • User Scalability: Support a growing number of users and profiles without degrading performance.
   • Device Scalability: Ensure the system can handle additional input devices or sensors as needed.
6. Compatibility
   • Platform Support: Ensure compatibility with various operating systems and device platforms.
   • Cross-Device Integration: Support integration with different devices and systems used for gesture recognition.
7. Maintainability
   • Code Quality: Maintain a well-documented, modular, and clean codebase to facilitate updates, debugging, and maintenance.
   • Update Management: Provide a structured process for deploying updates and patches with minimal disruption.
8. Compliance
   • Regulatory Compliance: Adhere to relevant standards and regulations for data protection, accessibility, and safety.
   • Industry Standards: Follow best practices for gesture recognition and HCI technologies.
9. Backup and Recovery
   • Data Backup: Implement regular backups of user profiles, settings, and system configurations.
   • Disaster Recovery: Develop and maintain a disaster recovery plan to restore system functionality and data in case of major failures.