😐➡️😊 Emotion Recognition Systems (ERS) What Are Emotion Recognition Systems? Emotion Recognition Systems are technologies that detect and interpret human emotions by analyzing facial expressions , voice tone , physiological signals , or behavioral patterns . These systems aim to make machines more emotionally aware and responsive in human-computer interaction. 🧠 How Emotion Recognition Works Emotion recognition typically involves the following steps: Data Collection Facial images (via webcam or sensors) Voice recordings (tone, pitch, speed) Physiological signals (heart rate, skin conductance, EEG) Text data (sentiment from written communication) Feature Extraction Identifying emotional cues (e.g., micro-expressions, vocal stress) Use of AI/ML to find emotion-indicative patterns Emotion Classification Common emotion models: Ekman's Six Basic Emotions : Happiness, Sadness, Fear, Anger, Surprise, Disgust Dimensional Models : Valence (po...