We understand that the Affectiva scores are % level of confidence for the given metric.
It works nicely, but becomes problematic if the video is not fit for analysis for example no face shown…
What are the methods for optimising scores for these cases?
Is there a clear indicator for inadequate reading?
Should we use a combination of other metrics, indicating no face or low light etc.? What would be these indicators?
Thank you for your help
(C++, ubuntu, 4.0)