Prof. Dr. Björn Eskofier

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

Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units (2018) Zrenner M, Gradl S, Jensen U, Ullrich M, Eskofier B Journal article, Original article Exploring the Feasibility of EMG Based Interaction for Assessing Cognitive Capacity in Virtual Reality (2018) Wirth M, Gradl S, Poimann D, Richer R, Ottmann J, Eskofier B Conference contribution ECG derived feature combination versus single feature in predicting defibrillation success in out-of-hospital cardiac arrested patients (2018) Ivanovic M, Ring M, Baronio F, Calza S, Vukcevic V, Hadzievski L, Maluckov A, Eskofier B Journal article, Original article Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach (2018) Ceron JD, López DM, Eskofier B Journal article Detecting Respiratory Effort-Related Arousals in Polysomnographic Data Using LSTM Networks (2018) Schellenberger S, Shi K, Mai M, Wiedemann JPW, Steigleder T, Eskofier B, Weigel R, Kölpin A Conference contribution, Conference Contribution Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis (2018) Nitschke M, Dorschky E, Seifer AK, Schlarb H, van den Bogert AJ, Eskofier B Conference contribution, Abstract of a poster Classification of Match Phases in Handball (2018) Maurer M, Kautz T, Schlenzig A, Hiemann A, Zrenner M, Eskofier B Conference contribution, Abstract of a poster "MigraineMonitor" – Towards a System for the Prediction of Migraine Attacks using Electrostimulation (2018) Stefke A, Wilm F, Richer R, Gradl S, Eskofier B, Forster C, Namer B Conference contribution, Conference Contribution Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards (2018) Da Costa CA, Pasluosta CF, Eskofier B, Da Silva DB, Righi RDR Journal article, Review article FallRiskPD: Long-term fall risk classification for Parkinson’s disease via intelligent sensor-based gait analysis in the home environment (Talk) (2018) Ullrich M, Gladow T, Roth N, Küderle A, Ollenschläger M, Gaßner H, Winkler J, et al. Conference contribution, Abstract of lecture