ERS is an AI-based software that identifies human emotional state by recognizing 9 core emotions with a further possibility to stimulate these emotions.
9+ team members
academic articles planned
To develop a video-acoustic stream processing software package that is designed to recognize and correct the emotional coloring of media messages.
Our team developed a software system that processes media messages in order to identify video-acoustic elements that can be manipulated to influence the emotional state of the intended audience. The software development was based on research as several focus group studies were conducted during the course of the project to monitor emotional responses to various audio-video signals. In turn, these studies helped develop a complex multi-media stream processing methodology that relies on the integrated application of neural network theory, wavelet transforms, suggestive influence, psychoacoustics and psychedelic video.
The end result is that the user is equipped with accurate, flexible, operational, and highly efficient means for managing the deliberate emotional coloring of multimedia messaging.