This research utilised a dataset with calm, sad, and happy facial expressions to classify depression based on facial information.(Li 2024, Anshul 2024).
Techniques like dual-scale convolution and adaptive channel attention were employed to capture significant features in facial regions. The results showed improved depression classification performance, with unique visual patterns specific to depression identified.(Li 2024).
This approach could potentially aid clinical diagnosis through artificial intelligence applications.(Elyoseph 2024)