A novel approach to depression detection using POV glasses and machine learning for multimodal analysis
POV glasses combined with machine learning successfully captured multimodal behavioral markers distinguishing MDD from controls. This low-burden, wearable approach demonstrates promise as an objective adjunct to psychiatric assessment. Future studies should evaluate its generalizability in larger, more diverse populations and real-world clinical settings.
Authors
- Burcu Özbaran (ORCID: https://orcid.org/0000-0002-4938-4346)
- Esra Özkan (ORCID: https://orcid.org/0000-0001-6503-8665)
- Hakan Kayış (ORCID: https://orcid.org/0000-0001-6800-9587)
- Nuray Atasoy (ORCID: https://orcid.org/0000-0003-0514-5906)
- Vildan ÇAKIR KARDEŞ (ORCID: https://orcid.org/0000-0002-6417-972X)
- Murat Çelik
- Çınar Gedizlioğlu
- Hatice Aysima Karabulut
Institutions
- İzmir University of Economics (TR)
- Zonguldak Bülent Ecevit University (TR)
- Ege University (TR)
- Psychiatric Association of Turkey (TR)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-11-10
- DOI
- https://doi.org/10.3389/fpsyt.2025.1720990
- Citations
- 2
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 4.24