100 Best Emotion Recognition Videos

Notes:

Emotion recognition is a field of study that focuses on detecting and interpreting the emotions of individuals through various means, such as facial expressions, body language, and voice. It involves using computer algorithms and machine learning techniques to analyze and interpret emotional cues in order to recognize and classify different emotions.

There are several major emotion recognition systems that are used in a variety of applications, including:

  1. Facial Expression Recognition: This system uses a camera to capture and analyze facial expressions in order to detect emotions such as happiness, sadness, anger, and surprise. It typically relies on machine learning algorithms to process and interpret the data.
  2. Voice Emotion Recognition: This system analyzes the tone, pitch, and other vocal characteristics of speech in order to detect emotions such as happiness, anger, sadness, and fear.
  3. Text Emotion Recognition: This system uses natural language processing techniques to analyze the words and language used in written or spoken text in order to detect emotions such as happiness, anger, sadness, and fear.
  4. Body Language Emotion Recognition: This system uses sensors to detect and analyze nonverbal cues such as gestures, posture, and facial expressions in order to detect emotions such as happiness, anger, sadness, and fear.

Wikipedia:

See also:

Affective Dialog Systems | Affect Listener & Dialog Systems | Emotional Agents 2016 | Sentiment Analysis & Dialog Systems 2017

[266x Apr 2018]