D
Dimitris Manousos
Researcher at Foundation for Research & Technology – Hellas
Publications - 20
Citations - 477
Dimitris Manousos is an academic researcher from Foundation for Research & Technology – Hellas. The author has contributed to research in topics: Facial expression & Computer science. The author has an hindex of 8, co-authored 16 publications receiving 315 citations.
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Journal ArticleDOI
Stress and anxiety detection using facial cues from videos
Giorgos Giannakakis,Matthew Pediaditis,Dimitris Manousos,Eleni Kazantzaki,Franco Chiarugi,Panagiotis G. Simos,Panagiotis G. Simos,Kostas Marias,Manolis Tsiknakis,Manolis Tsiknakis +9 more
TL;DR: Specific facial cues, derived from eye activity, mouth activity, head movements and camera based heart activity achieve good accuracy and are suitable as discriminative indicators of stress and anxiety.
Proceedings ArticleDOI
Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text
Anastasia Pampouchidou,Olympia Simantiraki,Amir Fazlollahi,Matthew Pediaditis,Dimitris Manousos,Alexandros Roniotis,Georgios Giannakakis,Fabrice Meriaudeau,Panagiotis G. Simos,Kostas Marias,Fan Yang,Manolis Tsiknakis +11 more
TL;DR: The present paper reports on the results of the participants' participation to the depression sub-challenge of the sixth Audio/Visual Emotion Challenge (AVEC 2016), which was designed to compare feature modalities in gender-based and gender-independent modes using a variety of classification algorithms.
Journal ArticleDOI
Wize Mirror - a smart, multisensory cardio-metabolic risk monitoring system
Yasmina Andreu,Franco Chiarugi,Sara Colantonio,Giorgos Giannakakis,Daniela Giorgi,Pedro Henriquez,Eleni Kazantzaki,Dimitris Manousos,Kostas Marias,Bogdan J. Matuszewski,Maria Antonietta Pascali,Matthew Pediaditis,Giovanni Raccichini,Manolis Tsiknakis +13 more
TL;DR: The Wize Mirror multisensory platform, being developed as a result of the FP7 funded SEMEOTICONS, uses computer vision and machine learning techniques to perform 3D morphological analysis of the face and recognition of psycho-somatic status both linked with cardio-metabolic risks.
Proceedings ArticleDOI
Comparison of blind source separation algorithms for optical heart rate monitoring
Eirini Christinaki,Giorgos Giannakakis,Franco Chiarugi,Matthew Pediaditis,Galateia Iatraki,Dimitris Manousos,Kostas Marias,Manolis Tsiknakis +7 more
TL;DR: The performance of three blind source separation algorithms for the optical estimation of the heart rate have been studied to perform a comparative evaluation of their accuracy and convergence capability.
Proceedings ArticleDOI
Evaluation of head pose features for stress detection and classification
TL;DR: The analysis reports that specific head pose features can be significant stress indicators that could contribute among other facial cues in reliable stress recognition.