Humans are able to self-paced constant running accelerations until exhaustion

Véronique Billat, Nicolas J-B. Brunel, Thomas Carbillet, Stéphane Labbé and Adeline Samson

Physica A: Statistical Mechanics and its Applications, 2018, vol. 506, issue C, 290-304

Abstract: Although it has been experimentally reported that speed variations is the optimal way of optimizing his pace for achieving a given distance in a minimal time, we still do not know what the optimal speed variations (i.e. accelerations) are. At first, we have to check the hypothesis that human is able to accurately self-pacing its acceleration and this even in a state of fatigue during exhaustive self-pacing ramp runs. For that purpose, 3 males and 2 females middle-aged, recreational runners ran, in random order, three exhaustive acceleration trials. We instructed the five runners to perform three self-paced acceleration trials based on three acceleration intensity levels: ”soft”, ”medium” and ”hard”. We chose a descriptive modelling approach to analyse the behaviour of the runners. Once we knew that the runners were able to perceive three acceleration intensity levels, we proposed a mean-reverting process (Ornstein–Uhlenbeck) to describe those accelerations: dat=−θ(at−a)dt+σdWt where a is the mean acceleration, at is the measured acceleration at each time interval t, θ the ability of the runner to correct the variations around a mean acceleration and σ the human induced variations. The goodness-of-fit of the Ornstein–Uhlenbeck process highlights the fact that humans are able to maintain a constant acceleration and are able to precisely regulate their acceleration (regardless of its intensity) in a run leading to exhaustion in the range from 1 min 36 s to 20 min.

Keywords: Acceleration; Exercise; Running; Self-paced; Performance; Ornstein–Uhlenbeck (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:506:y:2018:i:c:p:290-304

DOI: 10.1016/j.physa.2018.04.058

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