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AI-model found to recognise patients emotions in therapy session, including fleeting ones

The AI system that the researchers used for the study was a freely available artificial neural network trained to detect six basic emotions - happiness, surprise, anger, disgust, sadness and fear using more than 30,000 facial photos.

Martin steppanUniversity of baselScientific computingTai modelArtificial neural networkAi systemMachine learningBorderline personality

AI-model found to recognise patients emotions in therapy session, including fleeting ones

AI-model found to recognise patients emotions in therapy session, including fleeting ones
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Martin steppanUniversity of baselScientific computing

Timeless Language of Facial Expressions in Psychotherapy

Coding system of psychologist Paul Ekman remains a cornerstone in psychotherapy, translating facial expressions.

Martin steppanPaul ekmanKlaus schmeckRonan zimmermannUniversity of baselLearning facial emotion classifiersProfessor klaus schmeckScientific computingFacial expressionsEmotional stateSychotherapeutic researchPaul ekmanCoding system

Artificial intelligence as therapeutic support

Artificial intelligence as therapeutic support
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Ronan zimmermannPaul ekmannMartin steppanKlaus schmeckUniversity of baselUniversity psychiatric clinicsProfessor klaus schmeckScientific computing

AI reliably detects emotions based on facial expressions in psychotherapeutic situations

AI reliably detects emotions based on facial expressions in psychotherapeutic situations
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Paul ekmannRonan zimmermannMartin steppanKlaus schmeckUniversity of baselProfessor klaus schmeckScientific computingMachine learning facial emotion classifiersProof of concept study