Facial geometry and speech analysis for depression detection
Depression is one of the most prevalent mental disorders, burdening many people world-wide. A system with the potential of serving as a decision support system is proposed, based on novel features extracted from facial expression geometry and speech, by interpreting non-verbal manifestations of depr...
Saved in:
Main Authors: | Pampouchidou, A., Simantiraki, O., Vazakopoulou, C.-M., Chatzaki, C., Pediaditis, M., Maridaki, A., Marias, K., Simos, P., Yang, F., Meriaudeau, F., Tsiknakis, M. |
---|---|
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2017
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029121274&doi=10.1109%2fEMBC.2017.8037103&partnerID=40&md5=a8c5cb70311a24f926e4bfcda31410d1 http://eprints.utp.edu.my/20022/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Emotion Detection through Speech and Facial Expressions
by: Kudiri, K.M., et al.
Published: (2015) -
Human emotion detection through speech and facial expressions
by: Kudiri, K.M., et al.
Published: (2016) -
Depression level detection from facial emotion recognition using image processing
by: N. A., Lili, et al.
Published: (2022) -
Age-Invariant Face Recognition Technique Using Facial Geometry
by: Osman Ali, A.S., et al.
Published: (2013) -
Age-Invariant Face Recognition Technique Using Facial Geometry
by: Osman Ali, Amal Seralkhatem, et al.
Published: (2013)