Fabian Horst

Fabian Horst
Johannes Gutenberg-Universität Mainz | JGU · Institute of Sports Science

Doctor of Philosophy

About

53
Publications
26,245
Reads
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383
Citations

Publications

Publications (53)
Article
Full-text available
Machine Learning (ML) is increasingly used to support decision-making in the healthcare sector. While ML approaches provide promising results with regard to their classification performance, most share a central limitation, their black-box character. This article investigates the usefulness of Explainable Artificial Intelligence (XAI) methods to in...
Article
Full-text available
To date, most neurophysiological dance research has been conducted exclusively with female participants in observational studies (i.e., participants observe or imagine a dance choreography). In this regard, the sex-specific acute neurophysiological effect of physically executed dance can be considered a widely unexplored field of research. This stu...
Article
Full-text available
The Gutenberg Gait Database comprises data of 350 healthy individuals recorded in our laboratory over the past seven years. The database contains ground reaction force (GRF) and center of pressure (COP) data of two consecutive steps measured - by two force plates embedded in the ground - during level overground walking at self-selected walking spee...
Article
There is growing evidence that each individual has unique movement patterns, or signatures. The exact origin of these movement signatures, however, remains unknown. We developed an approach that can identify individual muscle activation signatures during two locomotor tasks (walking and pedalling). A linear support vector machine was used to classi...
Article
Full-text available
Besides the pure pleasure of watching a dance performance, dance as a whole-body movement is becoming increasingly popular for health-related interventions. However, the science-based evidence for improvements in health or well-being through dance is still ambiguous and little is known about the underlying neurophysiological mechanisms. This may be...
Article
Full-text available
The scientific and practical fields—especially high-performance sports—increasingly request a stronger focus be placed on individual athletes in human movement science research. Machine learning methods have shown efficacy in this context by identifying the unique movement patterns of individuals and distinguishing their intra-individual changes ov...
Article
Full-text available
Although the individuality of whole-body movements has been suspected for years, the scientific proof and systematic investigation that individuals possess unique movement patterns did not manifest until the introduction of the criteria of uniqueness and persistence from the field of forensic science. Applying the criteria of uniqueness and persist...
Preprint
Full-text available
State-of-the-art machine learning (ML) models are highly effective in classifying gait analysis data, however, they lack in providing explanations for their predictions. This ”black-box” characteristic makes it impossible to understand on which input patterns, ML models base their predictions. The present study investigates whether Explainable Arti...
Preprint
Full-text available
Machine learning (ML) is increasingly used to support decision-making in the healthcare sector. While ML approaches provide promising results with regard to their classification performance, most share a central limitation, namely their black-box character. Motivated by the interest to understand the functioning of ML models, methods from the field...
Article
Full-text available
Besides neurophysiological effects, the potential influence of exercise induced strains in terms of peripheral physiology or subjectively perceived stress as well as their possible reciprocal relation is not clearly understood yet. This study aimed to analyze effects of increasing exercise intensity on brain activity (sponta-neous EEG), heart rate...
Preprint
We developed an approach that can identify individual muscle activation signatures during two locomotor tasks (walking and pedalling). A linear Support Vector Machine was used to classify 78 participants based on their electromyographic (EMG) patterns measured on eight lower limb muscles. To provide insight into decision making by the machine learn...
Data
You can find the the description of the dataset and all relevant information about it on: https://data.mendeley.com/datasets/y55wfcsrhz/2
Data
Supplementary Material of the article "Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning" including tables with prediction accuracy, precision-, and recall-scores.
Article
Full-text available
Human movements are characterized by highly non-linear and multi-dimensional interactions within the motor system. Therefore, the future of human movement analysis requires procedures that enhance the classification of movement patterns into relevant groups and support practitioners in their decisions. In this regard, the use of data-driven techniq...
Article
Non-linearity is considered to be an essential property of complex systems. The associated high sensitivity of the result on the constraints leads to fundamental problems of a system description based on variables selected in the reductionist tradition. The attempt to compensate the problems by averaging data leads to the neglect of the individual...
Article
Full-text available
Background: Gait disorders are major symptoms of neurological diseases affecting the quality of life. Interventions that restore walking and allow patients to maintain safe and independent mobility are essential. Robot-assisted gait training (RAGT) proved to be a promising treatment for restoring and improving the ability to walk. Due to heterogen...
Preprint
Full-text available
Systems incorporating Artificial Intelligence (AI) and machine learning (ML) techniques are increasingly used to guide decision-making in the healthcare sector. While AI-based systems provide powerful and promising results with regard to their classification and prediction accuracy (e.g., in differentiating between different disorders in human gait...
Preprint
Full-text available
Human movements are characterized by highly non-linear and multi-dimensional interactions within the motor system. Recently, an increasing emphasis on machine-learning applications has led to a significant contribution to the field of gait analysis e.g. in increasing the classification accuracy. In order to ensure the generalizability of the machin...
Article
Full-text available
Gait and balance impairments are frequently considered as the most significant concerns among individuals suffering from neurological diseases. Robot-assisted gait training (RAGT) has shown to be a promising neurorehabilitation intervention to improve gait recovery in patients following stroke or brain injury by potentially initiating neuroplastic...
Poster
Full-text available
Introduction: In gait analysis, various approaches based on machine learning classifications have been suggested in recent years to help clinicians classify gait patterns into clinically relevant groups. The majority of machine learning applications used kinematic and kinetic data derived from three- dimensional gait analysis (3DGA) [1,2]. Disadvan...
Article
Full-text available
Machine learning (ML) techniques such as (deep) artificial neural networks (DNN) are solving very successfully a plethora of tasks and provide new predictive models for complex physical, chemical, biological and social systems. However, in most cases this comes with the disadvantage of acting as a black box, rarely providing information about what...
Preprint
Full-text available
Machine learning (ML) techniques such as (deep) artificial neural networks (DNN) are solving very successfully a plethora of tasks and provide new predictive models for complex physical, chemical, biological and social systems. However, in most cases this comes with the disadvantage of acting as a black box, rarely providing information about what...
Conference Paper
Full-text available
INTRODUCTION: Although machine learning techniques such as (deep) neural networks are solving very successfully a plethora of tasks and provide new insights from complex physical, chemical or biological systems [1], in most cases they go along with the disadvantage of acting as a black box, rarely providing information about what made them arrive a...
Conference Paper
Full-text available
INTRODUCTION: Different theories exist about the role of errors in skill acquisition. Two representatives are the errorless-learning paradigm [1] or the differencial learning approach [2]. The objective of this study was to determine whether the number of errors made during practice (regardless of their origin) influences learning of a golf putting...
Article
Nella seconda parte dell’articolo vengono evidenziate le differenze significative che i diversi metodi di apprendimento creano nella composizione delle bande di frequenza dell’attività cerebrale. L’apprendimento basato sulla ripetizione, l’interferenza contestuale, l’apprendimento differenziale graduale e quello differenziale caotico, attivano dive...
Article
Sono ormai passati già due decenni da quando l’apprendimento differenziale è stato presentato per la prima volta su Leistungssport (Schöllhorn 1999). Da allora diversi studi hanno confermato l’efficacia di questo approccio nella teoria e nella pratica. Nonostante le insinuazioni e le polemiche talvolta suscitate, questo approccio si sta diffondendo...
Conference Paper
Full-text available
Die sportliche Technik gilt als Leistungsreserve im sportlichen Training. Es gilt auch als Allgemein akzeptiert, dass sich ein variables Techniktraining positiv auf die Aneignung und das Lernen einer Bewegung auswirkt. Dokumentiert wird dies durch verschiedene Lern-und Techniktrainingsansätze wie das variable Üben, das Kontextinterferenz-Lernen ode...
Article
Training consisting of numerous repetitions performed as closely as possible to ideal techniques is common in sports and every-day tasks. Little is known about fatigue-related technique changes that emerge at different timescales when repeating complex actions such as a karate front kick. Accordingly, 15 karatekas performed 600 kicks (1 pre-block a...
Article
Although a hunch about the individuality of human movements generally exists, differences in gait patterns between individuals are often neglected. To date, only a few studies distinguished individual gait patterns in terms of uniqueness and emphasised the relevance of individualised diagnoses and therapy. However, small sample sizes have been a li...
Conference Paper
Full-text available
Introduction Despite the common knowledge about the individual character of human movements, inter-individual differences in gait patterns are often neglected in biomechanical analysis and therapeutic interventions, as they are rather oriented on the idea of average behaviour and normality. Previous studies could distinguish gait patterns from ind...
Article
Full-text available
Objective Traditionally, gait analysis has been centered on the idea of average behavior and normality. On one hand, clinical diagnoses and therapeutic interventions typically assume that average gait patterns remain constant over time. On the other hand, it is well known that all our movements are accompanied by a certain amount of variability, w...
Data
Control variables and classification rates for each participant. (XLSX)
Article
Full-text available
Der Ansatz des differenziellen Lernens verbreitet sich national und international zunehmend. Als „Geheimwaffe“ im Training eingesetzt, unterschiedlichst interpretiert und unter anderen Namen angewendet – wenige wissenschaftlich basierte Ansätze erfuhren solch emotionale und polarisierende Resonanz. Der Zwischenbericht aus Teil 1 (Leistungssport 1/2...
Article
Full-text available
Mittlerweile sind fast zwei Jahrzehnte vergangen, seit das differenzielle Lernen in dieser Zeitschrift erstmals vorgestellt wurde (Schöllhorn, 1999). Umfangreiche Untersuchungen sind seitdem vorgenommen worden und bestätigen die Effektivität des Ansatzes in Theorie und Praxis. Trotz publizierter Unterstellungen und Polemik verbreitet sich der Ansat...
Article
Despite the common knowledge about the individual character of human gait patterns and about their non-repeatability, little is known about their stability, their interactions and their changes over time. Variations of gait patterns are typically described as random deviations around a stable mean curve derived from groups, which appear due to nois...
Conference Paper
Full-text available
Introduction In conventional strength training, deviations from prescribed exercises are corrected and minimized. In comparison, the differential learning (DL) approach bases on movement variations and shows advantages for motor learning in sports and physical therapy (Schöllhorn et al., 2010). In comparison to conventional strength training, diffe...
Conference Paper
Full-text available
Introduction Human movements exhibit individual features, which should find consideration in training [1]. Differences of gait patterns from different individuals have been stated by inter-subject variability [2]. Within this range of variability, gait patterns from individual persons can be distinguished from each other by pattern recognition tool...
Conference Paper
Full-text available
Traditionally, rehabilitation as well as athlete's training is oriented on ideal prototypes that are mainly independent from the individual and the situation. This typically results in numerous repetitions and corrective instructions by the therapist's during the intervention. Despite Bernstein's (1967) famous statement about the impossibility of i...
Conference Paper
Full-text available
DAILY CHANGES OF INDIVIDUAL GAIT PATTERNS Horst, F., Kramer, F., Schäfer, B., Eekhoff, A., Hegen, P. & Schöllhorn, W.I. Johannes Gutenberg University of Mainz (Germany) Introduction Biomechanical diagnoses and clinical interventions typically assume nearly constant movement patterns in their subjects. Clinical gait analysis often seeks to evaluat...
Conference Paper
Einleitung Variationen unterstützen Lernprozesse. Verschiedene motorische Lernansätze basieren auf der Variation von Bewegungen. Der Ansatz der Kontextinterferenz (CI) nach Battig (1966) fügt der zu erlernenden Aufgabe Variation durch einen Kontext in Form von zusätz-lichen Aufgaben hinzu. Dabei ist ein reduzierter Leistungsanstieg in der Aneignung...

Questions

Question (1)
Question
I am looking for a way to estimate gait speed using force plate data only. Does anyone have experience or does know of any comparisons to already established methods such as light barriers, radars, or markers?

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Projects

Projects (3)
Project
The aim of this project was (since 1990) and is the identification of latent patterns of multiple signals that are related to movements by means of mathematical algorithms. Examples of signal sources are instants and time courses of kinematic, kinetic, muscular, cardiological, brain, infrared, or team variables.
Project
The aim of this project is to find individual and situation specific movement sequences that lead to optimal brain states for learning, teaching, healing, and social interaction.