Prof. Dr. Björn Eskofier

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

Towards Big Data for Activity Recognition: A Novel Database Fusion Strategy (2014) Schuldhaus D, Leutheuser H, Eskofier B Conference contribution System Design Impacts on Battery Runtime of Wearable Medical Sensors (2014) Tobola A, Korpok O, Leutheuser H, Schmitz B, Hofmann C, Struck M, Weigand C, et al. Conference contribution, Conference Contribution Performance Comparison of Two Step Segmentation Algorithms using Different Step Activities (2014) Leutheuser H, Dölfel S, Schuldhaus D, Reinfelder S, Eskofier B Conference contribution Comparison of a threshold and a DTW based algorithm for automatic jump segmentation (2014) Hebenstreit F, Merklein S, Welsch G, Lochmann M, Eskofier B Conference contribution Automatic ECG Arrhythmia Detection in Real-Time on Android-based Mobile Devices (2014) Leutheuser H, Gottschalk T, Anneken L, Struck M, Heuberger A, Achenbach S, Eskofier B, Arnold M Conference contribution ICA-based Reduction of Electromyogenic Artifacts in EEG Data: Comparison With and Without EMG Data (2014) Gabsteiger F, Leutheuser H, Reis P, Lochmann M, Eskofier B Conference contribution Respiratory Inductance Plethysmography - A Rationale for Validity during Exercise (2014) Heyde C, Leutheuser H, Eskofier B, Röcker K, Gollhofer A Journal article, Original article A coorelation study between the novel stereo vision perception test (StereoViPer Test) and the frisby test for measuring distance stereopsis (2014) Schmidt M, Lochmann M, Eskofier B, Michelson G, Paulus J, Tong J Journal article Wearable Static Posturography Solution Using a Novel Pressure Sensor Sole (2014) Reinfelder S, Durlak F, Barth J, Klucken J, Eskofier B Conference contribution Simplified Orientation Determination in Ski Jumping using Inertial Sensor Data (2014) Groh B, Weeger N, Warschun F, Eskofier B Conference contribution, Conference Contribution