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A simple algebraic expression is presented to correct men's and women's 100 metre sprint times for ambient wind and altitude effects. The simplified formula is derived from a more complicated equation of motion used to model the athlete's…

General Physics · Physics 2007-05-23 J. R. Mureika

In this paper, we consider the Markov-Chain Monte Carlo (MCMC) approach for random sampling of combinatorial objects. The running time of such an algorithm depends on the total mixing time of the underlying Markov chain and is unknown in…

Discrete Mathematics · Computer Science 2016-09-15 Steffen Rechner , Annabell Berger

A continuous-time random walk in the quarter plane with homogeneous transition rates is considered. Given a non-negative reward function on the state space, we are interested in the expected stationary performance. Since a direct derivation…

Probability · Mathematics 2017-08-31 Xinwei Bai , Jasper Goseling

Athletic performance follows a typical pattern of improvement and decline during a career. This pattern is also often observed within-seasons, as an athlete aims for their performance to peak at key events such as the Olympic Games or World…

Applications · Statistics 2026-01-12 M. Spyropoulou , J. G. Hopker , J. E. Griffin

At the 2005 world championships there was considerable discussion and a formal protest in the long distance race arising from a perceived advantage obtained by some athletes running together. It is shown that a statistical model presented…

Physics and Society · Physics 2016-09-08 Graeme J. Ackland

Navigating our physical environment requires changing directions and turning. Despite its ecological importance, we do not have a unified theoretical account of non-straight-line human movement. Here, we present a unified optimality…

Neurons and Cognition · Quantitative Biology 2021-11-03 Geoffrey L. Brown , Nidhi Seethapathi , Manoj Srinivasan

We review the central results concerning wavelet methods in multifractal analysis, which consists in analysis of the pointwise singularities of a signal, and we describe its recent extension to multivariate multifractal analysis, which…

Signal Processing · Electrical Eng. & Systems 2022-09-30 Stéphane Jaffard , Guillaume Saës , Wejdene Ben Nasr , Florent Palacin , Véronique Billat

Quantification of human movement is a challenge in many areas, ranging from physical therapy to robotics. We quantify of human movement for the purpose of providing automated exercise coaching in the home. We developed a model-based…

Medical Physics · Physics 2016-11-17 Stuart Hagler , Holly B. Jimison , Ruzena Bajczy , Misha Pavel

Lactate threshold is considered an essential parameter when assessing performance of elite and recreational runners and prescribing training intensities in endurance sports. However, the measurement of blood lactate concentration requires…

Machine Learning · Statistics 2018-03-20 Urtats Etxegarai , Eva Portillo , Jon Irazusta , Ander Arriandiaga , Itziar Cabanes

Prior studies have produced models to predict metabolic rates based on experimental observations of isolated muscle contraction from various species. Such models can provide reliable predictions of metabolic rates in humans if muscle…

Applied Physics · Physics 2023-10-24 Israel Luis , Maarten Afschrift , Friedl De Groote , Elena M. Gutierrez-Farewik

Human locomotion involves continuously variable activities including walking, running, and stair climbing over a range of speeds and inclinations as well as sit-stand, walk-run, and walk-stairs transitions. Understanding the kinematics and…

Milestoning is a computational procedure that reduces the dynamics of complex systems to memoryless jumps between intermediates, or milestones, and only retains some information about the probability of these jumps and the time lags between…

Mathematical Physics · Physics 2017-03-14 Ling Lin , Jianfeng Lu , Eric Vanden-Eijnden

We consider a stochastic individual-based model of adaptive dynamics for an asexually reproducing population with mutation. Biologically motivated by the influence of seasons or the variation of drug concentration during medical treatment,…

Probability · Mathematics 2025-03-26 Manuel Esser , Anna Kraut

The aim of this paper is first the detection of multiple abrupt changes of the long-range dependence (respectively self-similarity, local fractality) parameters from a sample of a Gaussian stationary times series (respectively time series,…

Statistics Theory · Mathematics 2007-12-10 Jean-Marc Bardet , Imen Kammoun

In this work, a generalization of the study of the human gait was made from already existent models in the literature, like models of Keller and Kockshenev. In this hybrid model, a strategy of metabolic energy minimization is combined in a…

We suppose that performance is a random variable whose expectation is related to training inputs, and we study four performance measures in a statistical model that relates performance to training. Our aim is to carry out a robust…

Applications · Statistics 2019-02-07 Phil Scarf , Mansour Shrahili , Naif Alotaibi , Simon Jobson , Louis Passfield

The escape mechanism of the four hill potential is explored. A thorough numerical investigation takes place in several types of two-dimensional planes and also in a three-dimensional subspace of the entire four-dimensional phase space in…

Chaotic Dynamics · Physics 2017-09-28 Euaggelos E. Zotos

A numerical model of 100 m and 200 m world class sprinting performances is modified using standard hydrodynamic principles to include effects of air temperature, pressure, and humidity levels on aerodynamic drag. The magnitude of the…

Popular Physics · Physics 2009-11-11 J. R. Mureika

In legged locomotion, the relationship between different gait behaviors and energy consumption must consider the full-body dynamics and the robot control as a whole, which cannot be captured by simple models. This work studies the robot…

Robotics · Computer Science 2021-05-04 Christopher McGreavy , Zhibin Li

A classical approach to abnormal activity detection is to learn a representation for normal activities from the training data and then use this learned representation to detect abnormal activities while testing. Typically, the methods based…

Computer Vision and Pattern Recognition · Computer Science 2019-08-14 Royston Rodrigues , Neha Bhargava , Rajbabu Velmurugan , Subhasis Chaudhuri