Prof. Dr. Björn Eskofier

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

A Two-Stage Regression Using Bioimpedance and Temperature for Hydration Assessment During Sports (2014) Ring M, Lohmüller C, Rauh M, Eskofier B Conference contribution miPod - A Wearable Sports and Fitness Sensor (2014) Blank P, Kugler P, Eskofier B Conference contribution Comparison of Real-Time Classification Systems for Arrhythmia Detection on Android-based Mobile Devices (2014) Leutheuser H, Gradl S, Kugler P, Anneken L, Achenbach S, Eskofier B, Arnold M Conference contribution Movement prediction in rowing using a Dynamic Time Warping based stroke detection (2014) Groh B, Reinfelder S, Streicher M, Taraben A, Eskofier B Conference contribution, Conference Contribution Exergaming on Mobile Devices (2014) Blank P, Eskofier B Conference contribution A Wearable Sensor System for Sports and Fitness Applications (2014) Blank P, Kugler P, Schlarb H, Eskofier B Conference contribution Comparison of A Priori Calibration Models for Respiratory Inductance Plethysmography During Running (2014) Leutheuser H, Heyde C, Gollhofer A, Eskofier B Conference contribution A data collection and communication module for telemedicine and mhealth systems (2014) Blank P, Kugler P, Schuldhaus D, Eskofier B Conference contribution 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