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In any spatially discrete model of pedestrian motion which uses a regular lattice as basis, there is the question of how the symmetry between the different directions of motion can be restored as far as possible but with limited…

Multiagent Systems · Computer Science 2014-02-10 Tobias Kretz , Michael Schreckenberg

The identification of similar patient pathways is a crucial task in healthcare analytics. A flexible tool to address this issue are parametric competing risks models, where transition intensities may be specified by a variety of parametric…

Methodology · Statistics 2024-01-10 Kathrin Möllenhoff , Nadine Binder , Holger Dette

Dynamic obstacle avoidance is a popular research topic for autonomous systems, such as micro aerial vehicles and service robots. Accurately evaluating the performance of dynamic obstacle avoidance methods necessitates the establishment of a…

Robotics · Computer Science 2024-04-24 Moji Shi , Gang Chen , Álvaro Serra Gómez , Siyuan Wu , Javier Alonso-Mora

Parameter tuning is a common issue for many tracking algorithms. In order to solve this problem, this paper proposes an online parameter tuning to adapt a tracking algorithm to various scene contexts. In an offline training phase, this…

Computer Vision and Pattern Recognition · Computer Science 2013-07-23 Duc Phu Chau , Julien Badie , François Bremond , Monique Thonnat

This paper describes algorithms for the animation of men and women performing three dynamic athletic behaviors: running, bicycling, and vaulting. We animate these behaviors using control algorithms that cause a physically realistic model to…

Graphics · Computer Science 2023-02-14 Jessica K. Hodgins , Wayne L. Wooten , David C. Brogan , James F. O'Brien

The use of statistical methods in sport analytics has gained a rapidly growing interest over the last decade, and nowadays is common practice. In particular, the interest in understanding and predicting an athlete's performance throughout…

Methodology · Statistics 2021-01-21 Patric Dolmeta , Raffaele Argiento , Silvia Montagna

We introduce a model for the slow relaxation of an energy landscape caused by its local interaction with a random walker whose motion is dictated by the landscape itself. By choosing relevant measures of time and potential this…

Statistical Mechanics · Physics 2015-06-24 Janos Torok , Supriya Krishnamurthy , Janos Kertesz , Stephane Roux

The model of a tired random walker, whose jump-length decays exponentially in time, is proposed and the motion of such a tired random walker is studied systematically in one, two and three dimensional contin- uum. In all cases, the…

Statistical Mechanics · Physics 2015-11-17 Muktish Acharyya

We study a simple geometric model of transportation facility that consists of two points between which the travel speed is high. This elementary definition can model shuttle services, tunnels, bridges, teleportation devices, escalators or…

Computational Geometry · Computer Science 2011-11-09 J. Cardinal , S. Collette , F. Hurtado , S. Langerman , B. Palop

After Amdahl's trailblazing work, many other authors proposed analytical speedup models but none have considered the limiting effect of the memory wall. These models exploited aspects such as problem-size variation, memory size,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-11 Alex F. A. Furtunato , Kyriakos Georgiou , Kerstin Eder , Samuel Xavier-de-Souza

In May 2021, the site runnersworld.com published that participation in ultra-distance races has increased by 1,676% in the last 23 years. Moreover, nearly 41% of those runners participate in more than one race per year. The development of…

Computer Vision and Pattern Recognition · Computer Science 2022-05-27 David Freire-Obregón , Javier Lorenzo-Navarro , Modesto Castrillón-Santana

The oscillations of the human heart rate are inherently complex and non-linear -- they are best described by mathematical chaos, and they present a challenge when applied to the practical domain of cardiovascular health monitoring in…

Machine Learning · Computer Science 2025-11-03 Berken Utku Demirel , Christian Holz

The biomechanics of the human body allow humans a range of possible ways of executing movements to attain specific goals. Nevertheless, humans exhibit significant patterns in how they execute movements. We propose that the observed patterns…

Quantitative Methods · Quantitative Biology 2018-12-11 Stuart Hagler

Although the data-driven analysis of football players' performance has been developed for years, most research only focuses on the on-ball event including shots and passes, while the off-ball movement remains a little-explored area in this…

Machine Learning · Computer Science 2023-09-06 Yisheng Pei , Varuna De Silva , Mike Caine

Although running is a common leisure activity and a core training regiment for several athletes, between $29\%$ and $79\%$ of runners sustain an overuse injury each year. These injuries are linked to excessive fatigue, which alters how…

Energy efficiency is a critical factor in the performance and autonomy of quadrupedal robots. While previous research has focused on mechanical design and actuation improvements, the impact of gait parameters on energetics has been less…

Robotics · Computer Science 2025-09-01 Yasser G. Alqaham , Jing Cheng , Zhenyu Gan

The random nature of traffic conditions on freeways can cause excessive congestions and irregularities in the traffic flow. Ramp metering is a proven effective method to maintain freeway efficiency under various traffic conditions. Creating…

Systems and Control · Electrical Eng. & Systems 2020-11-17 Anahita Sanandaji , Saeed Ghanbartehrani , Zahra Mokhtari , Kimia Tajik

Gait event detection of the initial contact and toe off is essential for running gait analysis, allowing the derivation of parameters such as stance time. Heuristic-based methods exist to estimate these key gait events from tibial…

Machine Learning · Computer Science 2020-12-15 Pieter Robberechts , Rud Derie , Pieter Van den Berghe , Joeri Gerlo , Dirk De Clercq , Veerle Segers , Jesse Davis

We study biological evolution on a random fitness landscape where correlations are introduced through a linear fitness gradient of strength $c$. When selection is strong and mutations rare the dynamics is a directed uphill walk that…

Populations and Evolution · Quantitative Biology 2015-04-16 Su-Chan Park , Ivan G. Szendro , Johannes Neidhart , Joachim Krug

In order to determine the optimal strategy to run a race on a curved track according to the lane number, we introduce a model based on differential equations for the velocity, the propulsive force and the anaerobic energy which takes into…

Systems and Control · Computer Science 2019-09-09 Amandine Aftalion , Pierre Martinon
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