Depression is a psychological disease characterized by continuous and long-term depression. The specific assessment of indicators and techniques for depression remains a challenge， and finding efficient and accurate diagnostic methods for depression has always been a research hotspot. A large number of studies have proved that patients with depression have abnormal eye movement data. This article provides an overview of the application of eye movement technology in the diagnosis of depression， mainly elaborating on basic indicators， experimental paradigms， and recognition of attention bias， and exploring future research directions.