From anti-doping to a ‘performance policy’ sport technology,being human,and doing ethics

Abstract

This paper discusses three questions concerning the ethics of performance enhancement in sport. The first has to do with the improvement to policy and argues that there is a need for policy about doping to be re-constituted and to question the conceptual priority of ‘anti’ doping. It is argued that policy discussions about science in sport must recognise the broader context of sport technology and seek to develop a policy about ‘performance’, rather than ‘doping’. The second argues that a quantitative enhancement to a sporting performance has no value and is, thus, unethical, unless the motivation behind using it implies something meaningful about being human. Thus, unless the use of the technology is constitutive of our humanness, then it is not a justifiable method of altering (rather than enhancing) performance. This rules out the legitimacy of using performance enhancement to gain an advantage over other competitors, who do not have access to similar means. Finally, the third argument claims that sport ethics has had only a limited discourse and has failed to recognise broader theoretical ideas in relation to performance modification, which might be found in the philosophy of technology and bioethics. Collectively, these positions articulate important concerns about the role of science in sport and the ethical discussions arising from them.     

The role of shoe design on the prediction of free torque at the shoe–surface interface using pressure insole technology

The goal of the current study was to expand on previous work to validate the use of pressure insole technology in conjunction with linear regression models to predict the free torque at the shoe–surface interface that is generated while wearing different athletic shoes. Three distinctly different shoe designs were utilised. The stiffness of each shoe was determined with a material’s testing machine. Six participants wore each shoe that was fitted with an insole pressure measurement device and performed rotation trials on an embedded force plate. A pressure sensor mask was constructed from those sensors having a high linear correlation with free torque values. Linear regression models were developed to predict free torques from these pressure sensor data. The models were able to accurately predict their own free torque well (RMS error 3.72 ± 0.74 Nm), but not that of the other shoes (RMS error 10.43 ± 3.79 Nm). Models performing self-prediction were also able to measure differences in shoe stiffness. The results of the current study showed the need for participant–shoe specific linear regression models to insure high prediction accuracy of free torques from pressure sensor data during isolated internal and external rotations of the body with respect to a planted foot.