Author: Horst, Fabian / Data source: 4 selected - Universitätsbibliographie Search Results

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1. Intra-individual gait patterns across different time-scales as revealed by means of a supervised learning model using kernel-based discriminant regression

Autoren:: Horst, Fabian; Eekhoff, Alexander; Newell, Karl M; Schöllhorn, Wolfgang
Editoren:: Jan, Yih-Kuen
Veröffentlichungsdatum:: 2017
Type:: Journal article

2. Can Individual Movement Characteristics Across Different Throwing Disciplines Be Identified in High-Performance Decathletes?

Autoren:: Horst, Fabian; Janssen, Daniel; Beckmann, Hendrik; Schoellhorn, Wolfgang I
Veröffentlichungsdatum:: 2020
Type:: Journal article

3. Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review

Autoren:: Berger, Alisa; Horst, Fabian; Mueller, Sophia; Steinberg, Fabian; Doppelmayr, Michael
Veröffentlichungsdatum:: 2019
Type:: Journal article

4. Explaining the unique nature of individual gait patterns with deep learning

Autoren:: Horst, Fabian; Lapuschkin, Sebastian; Samek, Wojciech; Mueller, Klaus-Robert; Schoellhorn, Wolfgang I
Veröffentlichungsdatum:: 2019
Type:: Journal article

5. Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine

Autoren:: Burdack, Johannes; Horst, Fabian; Aragones, Daniel; Eekhoff, Alexander; Schoellhorn, Wolfgang Immanuel
Veröffentlichungsdatum:: 2020
Type:: Journal article

6. Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning

Autoren:: Burdack, Johannes; Horst, Fabian; Giesselbach, Sven; Hassan, Ibrahim; Daffner, Sabrina; Schoellhorn, Wolfgang I
Veröffentlichungsdatum:: 2020
Type:: Journal article

7. Electrical Brain Activity and Its Functional Connectivity in the Physical Execution of Modern Jazz Dance

Autoren:: Wind, Johanna; Horst, Fabian; Rizzi, Nikolas; John, Alexander; Schoellhorn, Wolfgang I
Veröffentlichungsdatum:: 2020
Type:: Journal article