Prof. Dr. Björn Eskofier

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

Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors (2015) Hauer R, Eskofier B, Barth J, Klucken J, Reinfelder S, Klucken J Journal article Effect of walking speed on gait sub phase durations (2015) Hebenstreit F, Leibold A, Krinner S, Welsch G, Lochmann M, Eskofier B Journal article, Report Postural Instability Inference in Parkinson's Disease Patients Using Wearable Sensors (2015) Pasluosta CF, Barth J, Gaßner H, Winkler J, Klucken J, Eskofier B Conference contribution, Abstract of lecture Human Authentication Implemented for Mobile Applications Based on ECG-Data Acquired from Sensorized Garments (2015) Tantinger D, Zrenner M, Lang N, Leutheuser H, Eskofier B, Weigand C, Struck M Conference contribution Filter and Processing Method to Improve R-Peak Detection for ECG Data with Motion Artefacts from Wearable Systems (2015) Lang N, Brischwein M, Haßlmeyer E, Tantinger D, Feilner S, Heinrich A, Leutheuser H, et al. Conference contribution, Conference Contribution Translating satisfaction determination from health care to the automotive industry (2015) Meinzer S, Prenninger J, Vesel P, Kornhuber J, Volmer J, Hornegger J, Eskofier B Journal article Optimal feature selection for nonlinear data using branch-and-bound in kernel space (2015) Ring M, Eskofier B Journal article Quantification of Nighttime Micturition with an Ambulatory Sensor-Based System (2015) Huppert V, Paulus J, Paulsen U, Burkart M, Wullich B, Eskofier B Journal article Mobiles Ganglabor: Sensorbasierte Ganganalyse optimiert Diagnostik und Therapiemonitoring bei Bewegungserkrankungen (2015) Herberz C, Klucken J, Eskofier B Authored book IMU-based pose determination of scuba divers' bodies and shanks (2015) Groh B, Cibis T, Schill RO, Eskofier B Conference contribution, Conference Contribution