Ulf Jensen

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME)

Evaluation of foot kinematics during endurance running on different surfaces in real-world environments (2019) Zrenner M, Feldner C, Jensen U, Richer R, Roth N, Eskofier B Conference contribution, Conference Contribution Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units (2018) Zrenner M, Gradl S, Jensen U, Ullrich M, Eskofier B Journal article, Original article Activity recognition in beach volleyball using a Deep Convolutional Neural Network (2017) Kautz T, Groh B, Hannink J, Jensen U, Strubberg H, Eskofier B Journal article, Original article Design Considerations and Application Examples for Embedded Classification Systems (2016) Jensen U Thesis Approaching the accuracy-cost conflict in embedded classification system design (2016) Jensen U, Kugler P, Ring M, Eskofier B Journal article Unobtrusive and Energy-Efficient Swimming Exercise Tracking Using On-Node Processing (2016) Jensen U, Blank P, Kugler P, Eskofier B Journal article A wearable real-time activity tracker (2015) Jensen U, Leutheuser H, Hofmann S, Schüpferling B, Suttner G, Seiler K, Kornhuber J, Eskofier B Journal article Estimation of the Knee Flexion-Extension Angle During Dynamic Sport Motions Using Body-worn Inertial Sensors (2013) Jakob C, Kugler P, Hebenstreit F, Reinfelder S, Jensen U, Schuldhaus D, Lochmann M, Eskofier B Conference contribution, Conference Contribution Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors (2012) Schuldhaus D, Kugler P, Leible M, Jensen U, Schlarb H, Eskofier B Conference contribution, Conference Contribution Software-based Performance and Complexity Analysis for the Design of Embedded Classification Systems (2012) Ring M, Jensen U, Kugler P, Eskofier B Conference contribution, Conference Contribution