About
37
Publications
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Introduction
In my current role as postdoctoral researcher at LIACS, I focus on applied data science research in the domain of sports. My formal training as a Human Movement Scientist allows me to bring two worlds (Sports Science and Computer Science) together. I am mainly focusing explorative data mining techniques (such as subgroup discovery), which I have for example used to analyze tactical behavior in football (soccer). For the analysis of tactical behavior I am working on a Python package that contains a range modules useful for analyzing tracking data in interactive team sports. The modules are designed for football, but may easily translate to other sports such as field hockey, basketball or rugby.
Additional affiliations
September 2017 - present
Position
- PostDoc Position
Description
- Responsible for multiple projects related to Sports Data Science
May 2016 - July 2017
March 2012 - March 2016
Education
March 2012 - March 2016
September 2009 - August 2011
September 2006 - August 2009
Publications
Publications (37)
Regulating distance with a moving object or person is a key component of human movement and of skillful interpersonal coordination. The current set of experiments aimed to assess the role of gait mode and body orientation on distance regulation using a cyclical locomotor tracking task in which participants followed a virtual leader. In the first ex...
In interactive sports, teammates and/or opponents mutually tune their behavior. Expert performance thus implies certain interactive abilities, which critically depend on perceptual coupling. To illustrate this assertion, we examined the coordination dynamics with asymmetric interaction of dyads performing a sports-related cyclical movement task. In...
Previous research on sports performance has mostly been conducted: (a) at a single point, or at most, a few points in time, (b) at the group level, and (c) as a causal chain of monodisciplinary predictor and outcome variables. In the present research, we argue and demonstrate that the next important step should be to monitor, analyze, and visualise...
Previous research on sports performance has mostly been conducted: (a) at a single point, or at most, a few points in time, (b) on the group level, and (c) as a causal chain of monodisciplinary predictor and outcome variables. In the present research, we argue and demonstrate that the next important step should be to monitor, analyze, and visualize...
Introduction
Nonlinear Pedagogy (NP), underpinned by Ecological Dynamics, provides a suitable pedagogical approach for practitioners (e.g., Physical Educators, coaches) to encourage exploratory learning that is learner-centered even in Traditional Sporting Games (TSG) that could be represented by invasion or territorial-like games. NP involves the...
Athletes are exposed to various psychological and physiological stressors, such as losing matches and high training loads. Understanding and improving the resilience of athletes is therefore crucial to prevent performance decrements and psychological or physical problems. In this review, resilience is conceptualized as a dynamic process of bouncing...
Purpose:
The study of load and recovery gained significant interest in the last decades, given its important value in decreasing the likelihood of injuries and improving performance. So far, findings are typically reported on the group level, whereas practitioners are most often interested in applications at the individual level. Hence, the aim of...
![Evolution of RMPD\documentclass[12pt]{minimal} \usepackage{amsmath}...](publication/345758379/figure/fig4/AS:956913315491848@1605157321684/Evolution-of-RMPDdocumentclass12ptminimal-usepackageamsmath-usepackagewasysym_Q320.jpg)
Navigating crowded community spaces requires interactions with pedestrians that follow rectilinear and curvilinear trajectories. In the case of rectilinear trajectories, it has been shown that the perceived action opportunities of the walkers might be afforded based on a future distance of closest approach. However, little is known about collision...
At the Olympic level, optimally distributing training intensity is crucial for maximizing performance.
Purpose:
The authors evaluated the effect of training-intensity distribution on anaerobic power as a substitute for 1500-m speed-skating performance in the 4 y leading up to an Olympic gold medal.
Methods:
During the preparation phase of the s...
A major challenge during the development of Machine Learning systems is the large number of models resulting from testing different model types, parameters, or feature subsets. The common approach of selecting the best model using one overall metric does not necessarily find the most suitable model for a given application, since it ignores the diff...
Worldwide scientific output is growing faster and faster. Academics should not only publish much and fast, but also publish research with impact. The aim of this study is to use machine learning to investigate characteristics of articles that were published in the Journal of Applied Physiology between 2009 and 2018, and characterize high-impact art...
In professional soccer, increasing amounts of data are collected that harness great potential when it comes to analysing tactical behaviour. Unlocking this potential is difficult as big data challenges the data management and analytics methods commonly employed in sports. By joining forces with computer science, solutions to these challenges could...
In recent years, professional soccer leagues have started collecting tracking data of players on the pitch during all matches of the league. This tracking data might provide an important addition to existing tactical analyses (e.g., video analysis and annotated events). By characterizing the spatial relations between players over time, the dynamic...
In tennis, applying a proper game strategy is an important aspect in performance optimization. In this work, we perform tactical analyses for a specific professional tennis player by using a manually annotated data collection of 4,593 points. Primarily, we will apply Subgroup Discovery to find generic characteristics of successful points in tennis...
Using mock data to explore the relationship between commitment to English language teaching and student learning - Ian Moodie, Laurentius Antonius Meerhoff
In tennis, applying a proper game strategy is an important aspect in performance optimization. In this work, we perform tactical analyses for a specific professional tennis player by using a manually annotated data collection of 4,593 points. Primarily, we will apply Subgroup Discovery to find generic characteristics of successful points in tennis...
In recent years, professional soccer leagues have started collecting tracking data of players on the pitch during all matches of the league. This tracking data might provide an important addition to existing tactical analyses (e.g., video analysis and annotated events). By characterizing the spatial relations between players over time, the dynamic...
Dynamic situations, such as interactive sports or walking on a busy street, impose high demands on a person's ability to interact with (others in) its environment (i.e., 'interact-ability'). The current study examined how distance regulation, a fundamental component of these interactions, is mediated by different sources of visual information. Part...
Collision avoidance between multiple walkers, such as pedestrians in a crowd, is based on a reciprocal coupling between the walkers with a continuous loop between perception and action. Such interpersonal coordination has previously been studied in the case of dyadic locomotor interactions. However, when walking through a crowd of people, collision...
This article focuses on the performance of runners in official races. Based on extensive public data from participants of races organized by the Boston Athletic Association, we demonstrate how different pacing profiles can affect the performance in a race. An athlete's pacing profile refers to the running speed at various stages of the race. We aim...
In professional soccer, nowadays almost every team employs tracking technology to monitor performance during trainings and matches. Over the recent years, there has been a rapid increase in both the quality and quantity of data collected in soccer resulting in large amounts of data collected by teams every single day. The sheer amount of available...
Interpersonal coordination in sports can be studied by examining interactions between agents. Evidently, individuals differ in their ability to interact with others (cf. ‘interact-ability’), which critically depends on their sensitivity to information for (inter-)action. Recently, we found that agents could access different information sources for...
Navigating through a public place requires movement coordination to regulate interpersonal interactions. Behavioural responses have conflicting findings, for example, research on social interactions has shown that interactions with human avatars take place at a smaller preferred interpersonal distance compared to cylindric avatars (Lachini2014). Ha...
Daily activities require agents to interact with each other, such as during collision avoidance. The nature of visual information that is used for a collision free interaction requires further understanding. We aim to manipulate the nature of visual information in two forms, global and local information appearances. Sixteen healthy participants nav...
Despite many years of research into human movement, how humans deal with information in dynamical situations is still subject to debate. The current research programme examined an individual’s ability to coordinate their actions with others in invasion sports (‘interact-ability’) using the ecological dynamics theoretical framework to address this g...
Interpersonal coordination in sports can be studied by examining interactions between agents. Evidently, individuals differ in their ability to interact with others (cf. ‘interact-ability’), which critically depends on their sensitivity to information for (inter-)action. Recently, we found that agents could access different information sources for...
Coordinating one's movements with others is an important aspect of human interactions. Regulating the distance to other moving agents is often necessary to achieve specific task goals such as in invasion sports. This study aimed to examine how distance regulation is mediated by different sources of information that are typically available when huma...
In interactive (team) sports, interpersonal coordination is a highly complex process that requires further analysis. Interacting with another person typically demands online movement adaptation, this capacity is based upon an individual’s ability to find and couple to the relevant information that specifies a pertinent response. The theoretical fra...
Questions
Question (1)
The optical angle (Tau) changes as a function of the distance to an object (Tau = invtan(ObjectSize / distance). It is argued that when regulating distance it is a common strategy to null the change in Tau (Tau dot).
I am trying to find evidence for this theory in cyclical backwards and forwards human-avatar locomotion. However, when analyzing Tau dot there is a problem, as due to the 'tangential' relationship between Tau and the distance to an object, the rate of change for a deviation of 1 meter is more when the object is close compared to far away. Moreover, a deviation of 1 meter closer to the object results in a bigger rate of change than a deviation of 1 meter away from the object. This results into a bias for using Tau dot to quantify success in distance keeping. How can I normalize tau dot so that it is not sensitive to the distance the object is perceived from?
(I've tried tau / tau dot, but that doesn't seem to work..)
Thanks for any suggestions!
