Companies like Microsoft are already using emotion tools to recognise facial expression, but they are limited to eight "core" states: anger, contempt, fear, disgust, happiness, sadness, surprise ...

Study develops a ConvLSTM model that accurately predicts patient deterioration based on facial expressions, achieving 99.89% accuracy, with potential to improve early detection in healthcare settings.

Beyond Ekman’s facial expression training, there is a wealth of books and manuals, sometimes written by former national security professionals, on how to detect deception via nonverbal behavior.

Emotion detection. Though there are other startups out there working on similar use cases for this technology, facial coding is just one of a number of conduits through which companies are using ...