Team 4: SDVenturers: Mood Detection and Action

Repository structure:

• adas-drive-mode:
  • Rust app for mood detection decision logic
• face-recognition:
  • Python app using deepface for mood detection via camera
• python-dashboard:
  • Python dashboard app for visualizing mood detection and car behavior
• android-dashboard:
  • Android AAOS dashboard app for visualizing mood detection and car behavior
• sdv_lab:
  • Fork of sdv_lab repo with:
    • sdv_lab/android_treadx/threadx/threadx-app/cross/sdventurers_app:
      • Rust threadx app for AZ3166 mcu as a mock radar sensor detecting heart rate

Team Members

• Batuhan Arslan
  GitHub: engbatuhanarslan Role: Captain
• Tessa Talsma
  GitHub: ttalsma Role: Navigator
• Adarsh Rastogi
  GitHub: adarshrastogi67 Role: Challenger
• Aniket Barve
  GitHub: Aniket-3005 Role: Strategist
• Pascal Kneuper
  GitHub: k411e Role: Explorer

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Challenge

SDV Lab

Core Idea: Mood Detection and Action

• Driver mood detection (e.g., via bio signals such as heart rate, eye behavior)
• Limit or adjust car/ECU behavior accordingly (e.g., limit maximum acceleration)

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Development Process

1. Figure out mood detection: Facial recognition, AI, etc.
2. Data collection:
   • Which sensors?
   • Which signals?
   • Which algorithms?
3. Scope of car/ECU behavior changes and implementation
4. Testing:
   • Via three simple scenarios (e.g., 3 face emotions)
5. Communication/Sharing:
   • Via Slack/whiteboard
   • Decisions made via voting