Developing AI technology as we do at audEERING, we need to understand our human perception. Everyday perception is enabling us to realize the emotional state of our communication partner in different situations. In the process of Human Machine Learning we need to give the algorithm essential input. How do we at audEERING create AI?
We want to give a rough overview of the topic AI from the origins to the current developments in the health industry. Because artificial intelligence is the key technology of the future, especially in the area of health. Start with Part 1 of our Health AI Series on our Youtube Channel.
Here we are at the end of our series of Transparent AI with episode 4 of this series, talking about the applications of AI, types of AI, and the AI effect.
In the past two episodes, we clarified the definition, and we learned one of the common ways to model emotions. In this episode, we want to see what are machine learning and artificial intelligence and how can we use them to create an AI agent.
In part 2 of the Transparent AI series we lay the foundation for the modeling of emotions in affective computing. To describe the perception of emotional express there’s a 3D space usable. It’s built from the dimensions valence, arousal and dominance.
In this video series, we go over some definitions, learn the basics of modeling emotions, present machine learning methods to train models, and some of the applications of emotion AI. The journey begins with the delimation of terms we mostly use in our daily life without a clear definition: emotion, feeling, affect, mood.