Retico modules for real-time user emotional state tracking using the VAD (Valence, Arousal, Dominance) model or Emotion Intensity model. Powered by the NRC Valence, Arousal, and Dominance (NRC-VAD) Lexicon.

• Real-time emotion detection
  Analyze live input to estimate user emotional states using VAD or emotion intensity scores.

• Dual tracking modes
  Supports both VAD and Emotion Intensity scoring models, switchable as needed.

• Live visualization
  With a separate terminal, view a real-time line plot of emotion values updating as you speak or type.

git clone https://github.com/zihaurpang/retico-emotion-tracking.git

Start live analysis from the microphone:

python simple_emotion.py

In a separate terminal, run:

python realtime_vad_plot.py

This will display a continuously updating line chart of emotion values.

Try a text input instead of live input:

python manual_emotion_module.py

Use this to quickly test or demo how the module responds to text.

1. Input: audio from microphone or user-entered text

2. Processing: Parse input into tokens and score each with NRC-VAD lexicon

3. Output:

   • In real-time module (simple_emotion.py): prints emotion values continuously
   • In plot module (realtime_vad_plot.py): streams values to a live line chart

• Python ≥ 3.7
• Simple microphone setup for real-time mode