[PeterisP]

Multimodality isn't really my field, but there's also a lot of research on emotion detection. E.g. https://arxiv.org/pdf/1801.07481.pdf is a recent survey about commonly used methods that I found by quick googling.

We definitely can combine things like detecting crossed arms (and knowing that it's correlated with closedness) with emotion and stress signs in your voice, sentiment mapping of the words you say, micro-movements and your pulse rate (that a machine can detect from video if it's sufficiently good) and various other things to infer your likely emotional state.

The trouble is that in-depth analysis requires excessive external context and a shared worldview - i.e. "being of the same tribe" and knowing how a particular real world event "should" make one feel (and why), which is pretty much a general AI problem; but purely reading what the body language of this moment is telling about your emotions is a hard task but somewhat solvable even right now.