Orientation and positioning with inertial sensors for walking frame guidance. - Kathrin Kalischewski; Daniel Wagner 004; Jörg Velten; Anton Kummert (nDS, 2015)

Detection of ascending and descending stairways by surface normal vectors. - Daniel Wagner 004; Kathrin Kalischewski; Jörg Velten; Anton Kummert (nDS, 2015)

A passivity based stability measure for discrete 3-D IIR system realizations. - Jörg Velten; Anton Kummert; Daniel Wagner 004; Krzysztof Galkowski (ISCAS, 2016)

FPGA implementation of 2-D wave digital filters for real time motion feature extraction. - Lech Kolonko; Jörg Velten; Daniel Wagner 004; Anton Kummert (ISCAS, 2017)

Activity recognition for indoor movement and estimation of travelled path. - Kathrin Kalischewski; Daniel Wagner 004; Jörg Velten; Anton Kummert (nDS, 2017)

Examination of direct form vs. WDF realization of a 2-D quadrantal fan filter in FPGA hardware. - Jörg Velten; Daniel Wagner 004; Lech Kolonko; Kathrin Kalischewski; Stephan Tilgner; Tim Schwerdtfeger; Anton Kummert (nDS, 2017)

Activity recognition using inertial sensors and a 2-D convolutional neural network. - Daniel Wagner 004; Kathrin Kalischewski; Jörg Velten; Anton Kummert (nDS, 2017)

Spoken Letter Recognition using Deep Convolutional Neural Networks on Sparse and Dissimilar Data. - Kathrin Kalischewski; Daniel Wagner 004; Jörg Velten; Anton Kummert (ISCAS, 2019)

Multi-View Fusion Neural Network with Application in the Manufacturing Industry. - Stephan Tilgner; Daniel Wagner 004; Kathrin Kalischewski; Jörg Velten; Anton Kummert (ISCAS, 2019)

Automatic Labeling of Industrial Images by using Generative Adversarial Networks. - Daniel Wagner 004; Kathrin Kalischewski; Stephan Tilgner; Jörg Velten; Anton Kummert (ISCAS, 2019)

Study on the Influence of Multiple Image Inputs of a Multi-View Fusion Neural Network Based on Grad-CAM and Masked Image Inputs. - Stephan Tilgner; Daniel Wagner 004; Kathrin Kalischewski; Jan-Christoph Schmitz; Anton Kummert (EUSIPCO, 2020)

Beiträge zur KI-basierten Erkennung menschlicher Aktivitäten und zum Einsatz generativer Modelle (GANs): Bewegungsklassifikation und Erlernen interpretierbarer Repräsentationen. - Daniel Wagner 004 (Shaker, 2020)