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Project

MePheSTO

Digital Phenotyping 4 Psychiatric Disorders from Social Interaction

Digital Phenotyping 4 Psychiatric Disorders from Social Interaction

  • Duration:

MePheSTO is an interdisciplinary research project that aims to develop a scientifically grounded, artificial intelligence based methodology for identifying and classifying measurable, and thus objective, digital phenotypes of psychiatric disorders.

The aim of the project is to develop a technological platform for the cientifically validation of phenotypes for psychiatric disorders based on multimodal inputs such as speech, video and biosignals from clinical social interactions. For this purpose, researchers collect data from video recordings, conversations, but also from brain or heart activity (EEG, ECG).

Partners

Inria Nancy - Grand Est (Inria Lorraine)

Sponsors

BMBF - Federal Ministry of Education and Research

01IS20075

BMBF - Federal Ministry of Education and Research

Publications about the project

Tanay Agrawal; Michal Balazia; Philipp Müller; François Brémond

In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2023), January 3-7, Waikoloa, HI, USA, Pages 3392-3402, IEEE, 2023.

To the publication

Eric Ettore; Philipp Müller; Jonas Hinze; Michel Benoit; Bruno Giordana; Danilo Postin; Rene Hurlemann; Amandine Lecomte; Michel Musiol; Hali Lindsay; Philippe Robert; Alexandra König

In: JMIR Mental Health, Vol. 10, Page e37225, JMIR Publications Toronto, Canada, 2023.

To the publication

Ekta Sood; Lei Shi; Matteo Bortoletto; Yao Wang; Philipp Müller; Andreas Bulling

In: Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci). Annual Conference of the Cognitive Science Society (CogSci-2023), July 26-29, Sydney, NSW, Australia, Cognitive Science Society, 2023.

To the publication