Subproject D02

Subproject D02

Empatho-Kinaesthetic Sensor Technology for Biofeedback in Depressed Patients

The D02 project focuses on utilizing facial expressions as a biomarker in smartphone-based reappraisal training for psychological assessment. The project aims to understand the relationship between cognition, facial expressions, and affect as underlying mechanisms for the development and maintenance of depression. It highlights the lack of empirical studies on facial expressions and the need for quantifying and modifying them. The project presents a feasibility study on smartphone-based biofeedback Training for reducing depressive mood and suggests that this training could be a useful tool for individuals with depressive symptoms. It also proposes the establishment of empathokinaesthetic sensor technology and machine learning methods for the automatic detection and modification of Depression-associated facial expressions, posture, and movement. The mutual activation of depressogenic evaluation processes and depression-associated kinaesthesia is a significant factor in psychological information processing theories. It emphasizes the importance of understanding these underlying mechanisms in developing effective interventions for depression. Overall, the project provides insights into the potential of smartphone-based biofeedback training and machine-learning algorithms in detecting and treating depression.

 

                                                                                                            

Contacts

Principal Investigators

Prof. Dr. Matthias Berking

Department of Psychology
Chair of Psychology I (Prof. Dr. Berking)

Prof. Dr. Björn Eskofier

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Researchers

Klara Capito

Department of Psychology
Chair of Psychology I (Prof. Dr. Berking)

Lydia Rupp

Friedrich-Alexander-Universität Erlangen-Nürnberg
Lehrstuhl für Klinische Psychologie und Psychotherapie

Prof. Dr. Bernhard Egger

Associated Member

Department of Computer Science
Juniorprofessur für Cognitive Computer Vision (adidas-Stiftungsprofessur)

Robert Richer, M. Sc.

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Misha Sadeghi, M. Sc.

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Dr. Lena Gmelch

Postdoc

Department of Psychology
Chair of Psychology I (Prof. Dr. Berking)

 

Additional Information

Publications