Vibraimage technology captures high-frame-rate images of head-neck movements, converting them into vibraimages that display muscle vibration amplitude and frequency. Using algorithms and calculations, it derives an emotional index from these images. This non-contact, objective method analyzes psychological indicators through micro-movement detection. An algorithm has been developed to detect depression by calculating 12 emotional and 2 psychophysiological parameters. This diagnostic accuracy study aims to validate the technology's ability to diagnose depression in psychiatric outpatients.

Inclusion Criteria:

• Aged 18 to 70 years.
• No difficulties in reading or writing Chinese; fluent in Mandarin.
• Currently not taking psychotropic medications or on a stable dose for at least 6 weeks.
• Provided informed consent to participate in the study.

Exclusion Criteria:

• Schizophrenia.
• Bipolar disorder.
• History of organic brain disease or significant head trauma.
• Presence of severe systemic medical conditions.
• Suicidal ideation or a score ≥3 on Item 3 ("Suicide") of the 17-item Hamilton Depression Rating Scale (HAMD-17).
• Substance dependence or abuse.
• Intellectual disability or dementia.
• Inability to complete video capture or cooperate due to uncontrollable factors (e.g., hyperactivity, Parkinson's disease, or other conditions that prevent remaining still)

Psychiatric outpatients attending the Beijing Huilongguan Hospital during the study period.

De-identified individual participant data will be made available to qualified researchers upon reasonable request. Data sharing will be subject to approval by the principal investigator (PI) and the study sponsor.