Robert Richer



Organisation


Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)


Awards / Honours


2018 : Best Student Paper Award
2018 : Fritz und Maria Hofmann-Preis
2016 : DAAD FITweltweit Scholarship
2016 : IEEE EMBS Icehouse Challenge


Project member


Classification of Acute Stress-Induced Response Patterns
Prof. Dr. Björn Eskofier
(01/09/2018)

Open Badges: An Open-Source Sensor Platform for Analysis of Social Interactions and Group Dynamics
Prof. Dr. Björn Eskofier; Prof. Dr. Alex Pentland
(30/05/2018 - 30/11/2018)

Promoting Relaxation by Real-Time Mental State Recognition
Prof. Dr. Björn Eskofier
(01/10/2016)

DailyHeart: DailyHeart
Prof. Dr. Björn Eskofier
(15/08/2014)


Publications (Download BibTeX)

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Gradl, S., Wirth, M., Richer, R., Rohleder, N., & Eskofier, B. (2019). An Overview of the Feasibility of Permanent, Real-Time, Unobtrusive Stress Measurement with Current Wearables. In Proceedings of the EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19). Trento, IT.
Abel, L., Richer, R., Küderle, A., Gradl, S., Eskofier, B., & Rohleder, N. (2019). Classification of Acute Stress-Induced Response Patterns. In ACM (Eds.), Proceedings of the EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '19). Trento, IT.
Amores, J., Fuste, A., & Richer, R. (2019). Deep Reality: Towards Increasing Relaxation in VR by Subtly Changing Light, Sound and Movement Based on HR, EDA, and EEG. In ACM (Eds.), CHI 2019 Video Showcase. Glasgow, GB.
Stefke, A., Wilm, F., Richer, R., Gradl, S., Eskofier, B., Forster, C., & Namer, B. (2018). "MigraineMonitor" – Towards a System for the Prediction of Migraine Attacks using Electrostimulation. In Current Directions in Biomedical Engineering (pp. 629 - 632). Aachen, DE: De Gruyter.
Amores, J., Richer, R., Zhao, N., Maes, P., & Eskofier, B. (2018). Promoting Relaxation Using Virtual Reality, Olfactory Interfaces and Wearable EEG. In IEEE (Eds.), 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Las Vegas, NV, US.
Richer, R., Zhao, N., Amores, J., Eskofier, B., & Paradiso, J.A. (2018). Real-time Mental State Recognition using a Wearable EEG. In IEEE (Eds.), Proceedings of the 40th International Engineering in Medicine and Biology Conference (EMBC). Honolulu, Hawaii, US.
Gradl, S., Cibis, T., Lauber, J., Richer, R., Rybalko, R., Pfeiffer, N.,... Eskofier, B. (2017). Wearable Current-Based ECG Monitoring System with Non-Insulated Electrodes for Underwater Application. Applied Sciences, 7(12). https://dx.doi.org/10.3390/app7121277
Richer, R., Groh, B., Blank, P., Dorschky, E., Martindale, C., Klucken, J., & Eskofier, B. (2016). Unobtrusive Real-time Heart Rate Variability Analysis for the Detection of Orthostatic Dysregulation. In IEEE (Eds.), 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN). San Francisco, CA, US.
Richer, R., Maiwald, T., Pasluosta, C.F., Hensel, B., & Eskofier, B. (2015). Novel Human Computer Interaction Principles for Cardiac Feedback using Google Glass and Android Wear. In IEEE (Eds.), 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN). Cambridge, MA, US.
Mullan, P., Kanzler, C., Lorch, B., Schroeder, L., Winkler, L., Larissa, L.,... Pasluosta, C.F. (2015). Unobtrusive Heart Rate Estimation during Physical Exercise using Photoplethysmographic and Acceleration Data. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC ’15. Milano.

Last updated on 2017-07-10 at 02:00