PropertyValue
?:abstract
  • With the current global outbreak of Covid-19 plague, more and more people are suffering from negative mental state and mental disorder We propose a multimodal psychological computation technology in universal environment We establish a mental health database of naturalistic paradigm and establish an long-term ubiquitous interpretable psychological computing model based on prior knowledge and multimodal information fusion The proposed model has achieved state-of-the-art accuracy both in basic and complex emotion detection on the proposed mental health database, and effectively solved the scientific and accurate problems of long-term complex mental health status recognition and prediction As far as psychology and mental disorder medicine are concerned, we have found the continuous emotional symptoms of three kinds of mental disorders, which have never been accurately observed based on multimodal big data before It is accurately and quantitatively described by newly introduced interpretable psychological computing model At the same time, we also established the relationship between two complex emotion and basic emotion, breaking through the cognitive limitations in traditional psychology field IEEE
is ?:annotates of
?:creator
?:journal
  • IEEE_Multimedia
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Towards Sensing Emotion with Deep Visual Analysis:A Long-Term Psychological Modeling Approach
?:type
?:who_covidence_id
  • #831881
?:year
  • 2020

Metadata

Anon_0  
expand all