Detection of Acute Psychosocial Stress from Body Movements using Machine Learning

Richer R, Koch V, Küderle A, Müller V, Wirth V, Stamminger M, Rohleder N, Eskofier B (2022)

Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2022

Journal

Psychosomatic Medicine Lippincott, Williams & Wilkins

Pages Range: A55-A55

Conference Proceedings Title: Psychosomatic Medicine

Event location: Long Beach, CA

Authors with CRIS profile

Robert Richer Machine Learning and Data Analytics Lab Arne Küderle Machine Learning and Data Analytics Lab Victoria Müller Machine Learning and Data Analytics Lab Vanessa Wirth Sonderforschungsbereich 1483/1 Empathokinästhetische Sensorik – Sensortechniken und Datenanalyseverfahren zur empathokinästhetischen Modellbildung und Zustandsbestimmung Marc Stamminger Chair of Visual Computing Nicolas Rohleder Lehrstuhl für Gesundheitspsychologie Björn Eskofier Machine Learning and Data Analytics Lab

Related research project(s)

Berührungslose Messung von Stress, seiner Determinanten und Konsequenzen (SFB 1483 EmpkinS D03) Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS) July 1, 2021 - June 30, 2025 Empatho-Kinaesthetic Sensor Technology (SFB 1483 EmpkinS) July 1, 2021 - June 30, 2025

How to cite

APA:

Richer, R., Koch, V., Küderle, A., Müller, V., Wirth, V., Stamminger, M.,... Eskofier, B. (2022, July). Detection of Acute Psychosocial Stress from Body Movements using Machine Learning. Poster presentation at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA, US.

MLA:

Richer, Robert, et al. "Detection of Acute Psychosocial Stress from Body Movements using Machine Learning." Presented at 79th Annual Scientific Meeting of the American Psychosomatic Society, Long Beach, CA Ed. Lippincott Williams & Wilkins, 2022.

BibTeX: Download