A Study of the Frameworks for Digital Humans: Analyzing Facial Tracking evolution and New Research Directions with AI

There actual scenario of techniques and methods to improve our perception of digitals humans is mostly oriented to increase alikeness and interactivity inside a helpful workflow. Breakthrough milestones have been achieved to improve facial expression recognition systems thanks to the effectiveness of Deep Neural Networks. This survey analyzes all the open and fully integrated frameworks (deep learning-based or not) available today. All of those can be replicated by peers to analyze their effectiveness and efficiency in real-time environments. Also, we present an overview analysis of present-day environments for digital humans that use state-of-the-art facial tracking and animation retargeting to settle a direction on the future steps in our research objectives in this field.