Prof. Dr. Björn Eskofier

Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering (AIBE)

Hierarchical, Multi-Sensor Based Classification of Daily Life Activities: Comparison with State-of-the-Art Algorithms Using a Benchmark Dataset (2013) Leutheuser H, Schuldhaus D, Eskofier B Journal article, Original article SVM for Semi-automatic Selection of ICA Components of Electromyogenic Artifacts in EEG Data (2013) Gabsteiger F, Leutheuser H, Reis P, Lochmann M, Eskofier B Conference contribution, Conference Contribution An Adaptable Inertial Sensor Fusion-Based Approach for Energy Expenditure Estimation. (2013) Schuldhaus D, Dorn S, Leutheuser H, Tallner A, Klucken J, Eskofier B Conference contribution, Conference Contribution Real-time ECG monitoring and arrhythmia detection using Android-based mobile devices (2012) Gradl S, Kugler P, Lohmüller C, Eskofier B Conference contribution, Conference Contribution Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors (2012) Schuldhaus D, Kugler P, Leible M, Jensen U, Schlarb H, Eskofier B Conference contribution, Conference Contribution Automatic Classification of Sport Exercises for Training Support (2012) Schuldhaus D, Leutheuser H, Eskofier B Conference contribution, Conference Contribution Software-based Performance and Complexity Analysis for the Design of Embedded Classification Systems (2012) Ring M, Jensen U, Kugler P, Eskofier B Conference contribution, Conference Contribution A Virtual Environment Based Evaluating System for Goalkeepers’ Stereopsis Performance in Soccer (2012) Paulus J, Hornegger J, Schmidt M, Eskofier B, Michelson G Conference contribution, Conference Contribution Heart Rate Variability During Physical Exercise (2012) Leutheuser H, Eskofier B Conference contribution, Conference Contribution Generic Features for Biosignal Classification (2012) Jensen U, Ring M, Eskofier B Conference contribution, Conference Contribution