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Citations since 2017
6 Research Items
Melanie Ludwig currently works at the Department of Computer Science, Hochschule Bonn-Rhein-Sieg. Melanie does research in Physiology and Computing. She is working in the project 'eTa' with a focus on topics of the project 'S.W.E.A.T. for Science' for her PhD studies.
In mathematical modeling by means of performance models, the Fitness-Fatigue Model (FF-Model) is a common approach in sport and exercise science to study the training performance relationship. The FF-Model uses an initial basic level of performance and two antagonistic terms (for fitness and fatigue). By model calibration, parameters are adapted to...
The use of wearable devices or "wearables" in the physical activity domain has been increasing in the last years. These devices are used as training tools providing the user with detailed information about individual physiological responses and feedback to the physical training process. Advantages in sensor technology, miniaturization, energy consu...
An analytical convolution-based model is used to predict a person’s physiological reaction to strain. Heart rate, oxygen uptake, and carbon dioxide output serve as physiological measures. Cycling ergometer tests of five male subjects are used to compare the proposed Convolution Model with a machine learning approach in form of a black box Wiener mo...
A probabilistic model of maximal mean performance in endurance sports is presented. The joint distribution of three variables namely interval length, average power, and average heart rate is modeled using Gaussian processes. The model allows for prediction of maximal average performances even based on data from sub-maximal efforts.
A probabilistic model of maximal average performance in endurance sports is presented. The joint distribution of three variables namely interval length, average power, and average heart rate is modeled using Gaussian processes. The model allows for prediction ofmaximal average performances even based on data from submaximal efforts.
Introduction The Fitness Fatigue model is often used for performance analysis. It uses an initial basic level of performance and two antagonistic terms: a fitness-term and a fatigue-term. By fitting the models parameters, we adapt the model to the subject’s individual physical response to strain. Even though in most cases fitting of recorded traini...
Analyzing training performance in sport is usually based on standardized test protocols and needs laboratory equipment, e.g., for measuring blood lactate concentration or other physiological body parameters. Avoiding special equipment and standardized test protocols, we show that it is possible to reach a quality of performance simulation comparabl...
During exercise, heart rate has proven to be a good measure in planning workouts. It is not only simple to measure but also well understood and has been used for many years for workout planning. To use heart rate to control physical exercise, a model which predicts future heart rate dependent on a given strain can be utilized. In this paper, we pre...
Presentation Slides to the identically named paper presentated at icSports Conference 2016.
The positive influence of physical activity for people at all life stages is well known. Exercising has a proven therapeutic effect on the cardiovascular system and can counteract the increase of cardiovascular diseases in our aging society. An easy and good measure of the cardiovascular feedback is the heart rate. Being able to model and predict t...
Training models have been proposed to model the effect of physical strain on fitness. In this work we explore their use not only for analysis but also to generate training plans to achieve a given fitness goal. These plans have to include side constraints such as, e.g., maximal training loads. Therefore plan generation can be treated as a constrain...
Due to the lack of rainfall in the last few years in Germany (and Europe surely), there has been significant outbreaks of the Spruce Bark Beetle. The infested trees die and/or develop a type of fungi that hinders the water flow upward, resulting in dying foliage. Some 70 – 100K Hectors of Spruce tree forests in NRW need to be replanted in order to mitigate the damage of the beetles. The objective of Garrulus is to develop a fast, reliable, scalable and cost-effective prototype of reforesting damaged areas. The proposed method is to design and build a prototype unmanned aerial vehicle (UAV) that is capable of scanning the damaged area and map the underlying terrain, to accurately quantify the extent of the forest damaged area. The mapping procedure, along with developed artificial intelligence, would provide insights on the most optimal locations to replant trees, in addition to collecting valuable data for forest growth monitoring. The UAV would be fitted with a special seed dispersing mechanism that would drop seeds into the desired optimal locations.
The development of sustainable electromobility is one of the social challenges our time, which is considered in the research project eTa. The energy efficiency of vehicles is addressed in aerodynamic projects and optimized operating strategies. In particular, non-classic vehicle concepts are in focus. Alternative mobility concepts based on non-fossil fuels need new supply structures. The optimized expansion of the loading infrastructure is therefore another issue. But even the best mobility concept is useless if it is not accepted by society and implemented by politics and business. Therefore, acceptance questions are a central element of eTa, which will be further developed. The following areas are addressed primarily by the need to reduce energy consumption: - Efficiency of the vehicles - Alternative mobility concepts - Efficiency of mobility concepts - Technical acceptance