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AI Analysis Finds Facial Micro‑Movements That Track Subthreshold Depression

The peer-reviewed Waseda study in Scientific Reports uses brief self-introduction videos from Japanese students, urging broader validation with ethical safeguards.

Overview

  • Researchers recorded 10‑second self-introduction videos from 64 Japanese undergraduates and collected impression ratings from a separate group of 63 peers, with both groups completing the BDI‑II.
  • Automated analysis with OpenFace 2.0 linked increased activity in specific action units—AU01, AU05, AU20, and mouth‑opening AUs AU25/26/28—to higher subthreshold depression scores.
  • Students reporting subthreshold symptoms were rated as less friendly, expressive, and likable, yet not more stiff, fake, or nervous by their peers.
  • Results indicate muted positive expressivity associated with subthreshold depression and suggest potential for non-invasive early screening in schools, workplaces, and digital health platforms.
  • Authors note limitations including a small, culturally narrow sample and recommend cross-cultural replication, privacy protections, and ethical oversight before any real-world use.