Prof. Dr. Björn Eskofier

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

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 Automatic Recognition of Parkinson’s Disease Using Surface Electromyography During Standardized Gait Tests (2013) Kugler P, Jaremenko C, Schlachetzki J, Winkler J, Klucken J, Eskofier B Conference contribution, Conference Contribution Biosensorische Bewegungserfassung beim Parkinson-Syndrom (2013) Klucken J, Barth J, Eskofier B, Winkler J Journal article Classification of Daily Life Activities by Decision Level Fusion of Inertial Sensor Data (2013) Schuldhaus D, Leutheuser H, Eskofier B Conference contribution, Conference Contribution Schlafstadienbestimmung mit Hilfe bewegungsbasierter Sensortechnologie (2013) Traxdorf M, Gradl S, Kugler P, Leutheuser H, Lauten J, Eskofier B, Angerer F, Iro H Conference contribution, Conference Contribution Unbiased and Mobile Gait Analysis Detects Motor Impairment in Parkinson's Disease (2013) Klucken J, Barth J, Kugler P, Schlachetzki J, Henze T, Marxreiter F, Kohl Z, et al. Journal article, Original article Comparison of the AMICA and the InfoMax Algorithm for the Reduction of Electromyogenic Artifacts in EEG Data (2013) Leutheuser H, Gabsteiger F, Hebenstreit F, Reis P, Lochmann M, Eskofier B Conference contribution, Conference Contribution Statistische Analyse Ensemble-gemittelter zyklischer Bewegungsdaten (2013) Hebenstreit F, Eskofier B, Blanke M, Lochmann M Conference contribution, Abstract of lecture Heart Rate Variability During Physical Exercise (2013) Leutheuser H, Eskofier B Journal article, Original article