Remote prediction of human neuropsychological state

A system comprising:

• at least one hardware processor;
• and
• a non-transitory computer-readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to:
• receive, as input, a video image stream of a bodily region of a subject,
• continuously extract from said video image stream at least some of:
• (i) facial parameters of said subject,
• (ii) skin-related features of said subject, and
• (iii) physiological parameters of said subject, and
• apply a first trained machine learning classifier selected from a group of trained machine learning classifiers, based, at least in part, on a detected combination of said facial parameters, skin-related features, and physiological parameters, to determine one or more states of stress in said subject,
• wherein said group of trained machine learning classifiers comprises a hierarchical cascade of machine learning classifiers.