Prof. Dr. Björn Eskofier

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

Motor Output Complexity in Parkinson's disease Patients during Acute Treadmill Intervention (2016) Pasluosta CF, Steib S, Klamroth S, Gaßner H, Hannink J, Von Tscharner V, Pfeifer K, et al. Conference contribution, Abstract of a poster Wearable Real-Time Skateboard Trick Visualization and Its Community Perception (2016) Groh B, Flaschka J, Wirth M, Kautz T, Fleckenstein M, Eskofier B Journal article, Original article Blind Path Obstacle Detector using Smartphone Camera and Line Laser Emitter (2016) Saffoury R, Blank P, Seßner J, Groh B, Martindale C, Dorschky E, Franke J, Eskofier B Conference contribution, Conference Contribution Approaching the accuracy-cost conflict in embedded classification system design (2016) Jensen U, Kugler P, Ring M, Eskofier B Journal article Augmented Motion Models for Constrained Position Tracking with Kalman Filters (2016) Kautz T, Groh B, Eskofier B Conference contribution, Conference Contribution Combined Accelerometer and EMG Analysis to Differentiate Essential Tremor from Parkinson’s Disease (2016) Haji Ghassemi N, Marxreiter F, Pasluosta CF, Schlachetzki J, Schramm A, Eskofier B, Klucken J Conference contribution, Original article Automatic clustering of code changes (2016) Kreutzer P, Dotzler G, Ring M, Eskofier B, Philippsen M Conference contribution, Original article Unobtrusive and Energy-Efficient Swimming Exercise Tracking Using On-Node Processing (2016) Jensen U, Blank P, Kugler P, Eskofier B Journal article An approximation of the Gaussian RBF kernel for efficient classification with SVMs (2016) Ring M, Eskofier B Journal article Virtual and augmented reality in sports-an overview and acceptance study (2016) Gradl S, Eskofier B, Eskofier D, Mutschler C, Otto S Conference contribution, Original article