Skip to content

Latest commit

 

History

History
45 lines (35 loc) · 2.05 KB

FUTURE.md

File metadata and controls

45 lines (35 loc) · 2.05 KB
Raw

Wearable Device for Autism Communication

Enhancing communication between individuals with and without autism using AI. Our Monocle-powered device leverages Facial Emotion Recognition (FER) for intuitive visual cues.

📋 Table of Contents

Research & Development

  • Emotion Recognition Model: Identify efficient FER models; consider diverse datasets.
  • User Experience (UX): Usability testing for best representation method (emojis, icons, text).

Integration with Monocle

  • Camera Feed: Use 720p feed to capture expressions and apply FER.
  • Output: Display recognized emotion on 640x400 resolution.
  • Bluetooth: Seamless smartphone pairing for updates and data relay.

Software Development

  • Python App: Develop using Monocle's Python APIs.
  • WebREPL Console: Easy testing and iteration.

Field Testing

  • Real-world Application: Test, gather feedback, refine based on user needs.
  • Performance: Ensure quick, accurate real-time feedback.

Community Engagement

  • Documentation: Maintain user and troubleshooting guides.
  • Brilliant Labs Repo: Regular updates and feature additions.
  • Discord Community: Engage, support, gather feedback.

Future Development

  • Emotion Range: Recognize broader emotion spectrum.
  • Adaptive Learning: Personalized feedback through ML.
  • Battery & Wearables: Longer battery life, integrate with other wearables.

Awareness & Training

  • Workshops: For individuals with autism, caregivers, educators.
  • Collaboration: Partner with autism-focused organizations.

This wearable holds potential to revolutionize communication for those with autism. Continuous improvement, feedback, and tech advancements will drive its success in the autism community.