EmoCam - Camera for Emotion Au 1.1.1

The experience of using an advanced AI camera that can interpret and visualize emotions is intriguing. This application utilizes state-of-the-art convolutional neural networks for effective face detection and facial expression classification. An innovative fuzzy-logic-inspired algorithm generates color gradients, while a vector-quantization-based stabilizer addresses noise reduction, resulting in smooth real-time colorization.

Currently, the app is undergoing testing and issue resolution, as indicated by the likelihood of minor adjustments being necessary.

The tool analyzes user emotions via facial expressions and represents these as an augmented reality aura, which can enhance understanding of emotional states. The emotions are categorized and visually represented by specific color palettes:

• Blue: Calm-Sadness
• Green: Happy, Joyful
• Magenta: Disgust
• Orange: Confused, Surprised
• Red: Angry, Upset
• White: Neutral
• Yellow: Anxiety, Stressed, Fear

The visualization is structured into three distinct sections:

1. Outer Color (1): Represents the primary emotion, signifying the most dominant feeling.
2. Color on Top (2): Indicates the secondary emotion.
3. Color on Two Sides (3): Denotes tertiary emotions.