|
?:abstract
|
-
With the current global outbreak of COVID-19, an increasing number of people are suffering from negative mental states and mental disorders We propose a multimodal psychological computational technology in a universal environment We establish a mental health database following a naturalistic paradigm as well as a long-term ubiquitous interpretable psychological computing model based on prior knowledge and multimodal information fusion The proposed model achieves state-of-the-art accuracy in both basic and complex emotion detection on the proposed mental health database and effectively solves scientific and accuracy-related problems in long-term complex mental health status recognition and prediction Regarding psychology and the medicine of mental disorders, we identify the continuous emotional symptoms of three kinds of mental disorders, which have not previously been accurately observed based on multimodal big data They are accurately and quantitatively described by the newly introduced interpretable psychological computing model At the same time, we establish the relationship between two complex emotions and the basic emotions, breaking through the cognitive limitations of the traditional psychology field
|
![[This page as RDF]](https://research.tib.eu/covid-19/static/rdf-icon.gif){kind=icon}