Multimodal Identification of Depressive Symptoms in the Elderly
Screening with depression scales alone is subjective, and relying on single-modal data often leads to incomplete identification of symptoms that are easily missed or misdiagnosed. In this study, we first aim to use artificial intelligence to construct a depression symptom recognition model, concatenate multimodal features such as facial expression, audio, text, and postural behavior, and deeply fuse them to construct a multimodal model.
Elderly individuals aged 60 years or older. [+3]
Those who meet the diagnostic criteria for cognitive impairment (dementia) as st... [+2]