A big problem for people accessing a meeting from a distance is the lack of socially dynamic context provided by text on a page. Gestures, for example, convey vast information that we intuitively acquire, but remains largely absent from the printed word. AMIDA developed software to record social dynamics of a meeting in real time.
The software can track gestures, indicate gaze and head movements, and add speech bubbles to indicate who is speaking to whom.
All this data is captured and available for later analysis and review. But beyond this value, the technology has a host of other potential applications like robotics, AI, and image recognition.
For example, there are thousands of CCTV cameras in most modern cities, but they currently act passively - they can be consulted after a violent crime, but it is very difficult to track them in real time. If software can detect gestures indicating violence or aggression, however, the police could be alerted to a possible crime in progress.