Prof. Dr. Björn Eskofier

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

A multi-sensor wearable system for the assessment of diseased gait in real-world conditions (2023) Salis F, Bertuletti S, Bonci T, Caruso M, Scott K, Alcock L, Buckley E, et al. Journal article Digital health in smart cities: Rethinking the remote health monitoring architecture on combining edge, fog, and cloud (2023) Rodrigues VF, da Rosa Righi R, da Costa CA, Zeiser FA, Eskofier B, Maier A, Kim D Journal article Non-invasive estimation of muscle fibre size from high-density electromyography (2023) Casolo A, Maeo S, Balshaw TG, Lanza MB, Martin NRW, Nuccio S, Moro T, et al. Journal article Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. (2023) Ullrich M, Roth N, Küderle A, Richer R, Gladow T, Gaßner H, Marxreiter F, et al. Journal article Exploring misclassifications of robust neural networks to enhance adversarial attacks (2023) Schwinn L, Raab R, Nguyen A, Zanca D, Eskofier B Journal article ADABase: A Multimodal Dataset for Cognitive Load Estimation (2023) Oppelt MP, Foltyn A, Deuschel J, Lang NR, Holzer N, Eskofier B, Yang SH Journal article Stroop, Stress, and VR: Developing the Virtual Reality Stroop Room (2023) Ringgold V, Mehringer W, Eskofier B, Rohleder N Conference contribution, Conference Contribution Efficacy of a smartphone-based reappraisal training against depression and benefits of enhancing it with facial expression (2023) Rupp L, Capito K, Gmelch LM, Böhme S, Richer R, Sadeghi M, Rahimi F, et al. Conference contribution, Abstract of lecture 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