Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics Lab Lehrstuhl für Informatik 14 (Machine Learning and Data Analytics)

Improving the Robustness of IMU-based Sit-To-Stand Detection during Simulated Real-World Activities for Different Sensor Positions (2023) Seifer AK, Popp F, Richer R, Gaßner H, Eskofier B Conference contribution, Conference Contribution Breathe your stress away. Preliminary results of a randomized controlled study investigating a breath-based approach-avoidance modification training in individuals with elevated stress (2023) Keinert EM, Böhme S, Eskofier B, Schuller BW, Berking M Conference contribution, Conference Contribution Design and validation of a multi-task, multi-context protocol for real-world gait simulation (2022) Scott K, Bonci T, Salis F, Alcock L, Buckley E, Gazit E, Hansen C, et al. Journal article Vagus activation by Cold Face Test reduces acute psychosocial stress responses (2022) Richer R, Zenkner JJ, Küderle A, Rohleder N, Eskofier B Journal article, Original article Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring (2022) Herzer L, Mücke A, Richer R, Albrecht NC, Heyder M, Jäger K, König V, et al. Conference contribution, Conference Contribution Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG (2022) Jäger K, Nissen M, Richer R, Rahm S, Titzmann A, Fasching P, Eskofier B, Leutheuser H Conference contribution, Conference Contribution The Stroop Competition: A Social-Evaluative Stroop Test for Acute Stress Induction (2022) Müller V, Richer R, Henrich L, Berger L, Gelardi A, Jäger K, Eskofier B, Rohleder N Conference contribution In Vivo Skin-Type Classification Using Millimeter-Wave Near-Field Probe Spectroscopy (2022) Hecht D, Pfahler T, Ullmann I, Altstidl TR, Amer N, Jin Y, Eskofier B, Vossiek M Conference contribution xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning (2022) Link J, Schwinn L, Pulsmeyer F, Kautz T, Eskofier B Journal article Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information (2022) Krauß D, Richer R, Küderle A, Beilner J, Rohleder N, Eskofier B Conference contribution, Abstract of a poster