The Paralympic Games, now a major global event, has a history rooted in rehabilitation.
Authors
John Cairney
Professor and Head of Human Movement and Nutrition Sciences; Director, The Queensland Centre for Olympic and Paralympic Studies, The University of Queensland
Emma Beckman
Associate professor, The University of Queensland
Sean Tweedy
Professor, School of Human Movement and Nutrition Sciences, The University of Queensland
The first official Paralympic Games was held in Rome in 1960. But its origins , when neurologist Ludwig Guttmann organised the Stoke Mandeville Games in England for World War II veterans with spinal cord injuries. He believed sport could play a powerful role in rehabilitation, pushing the boundaries of human performance in ways other approaches could not.
Today’s Paralympic Games continue this legacy, with technology playing a central role in these achievements.
Technology has enabled athletes with disabilities to reach incredible heights. However, it has also introduced new challenges, particularly in ensuring fairness and equity in competition.
From simple to sophisticated
In the early days, Paralympic technology was basic by today’s standards. Athletes competed in regular wheelchairs and used simple strapping to assist.
As the Paralympic Games grew, competitive success became increasingly prized. As a result, athletes used specialised technology to gain a competitive edge.
Running blades, for example, are carbon fibre prosthetics designed to mimic natural leg movement while enhancing speed and bounciness. These blades have revolutionised track events. They enable athletes with lower-limb amputations to compete at speeds comparable to, and sometimes even faster than, able-bodied athletes.
South African sprinter and convicted murderer Oscar Pistorius was the first double amputee with running blades who competed in the London Olympics in 2012 as part of the men’s 4×400 relay.
A shifting conversation
By the end of the 2010s, however, the conversation about assistive technology used by athletes had shifted from celebrating integration to debating unfair advantage.
In 2019, Blake Leeper, a bilateral amputee sprinter, applied to World Athletics to compete in the 2020 Tokyo Olympics against able-bodied athletes. The international governing body for athletics received independent scientific advice that Leeper’s prosthetics gave him a competitive advantage and rejected the application.
Leeper contested this decision in the Court of Arbitration for Sport. But .
Leeper, who is African-American, appealed the decision on the grounds the scientific advice provided to World Athletics was based on racially prejudiced science. But . It ruled the evidence to be fair and unbiased.
As technology continues to advance, running blades may soon seem modest compared to what the future brings.
Neuroprosthetics are a notable example. These are devices that interface with the human nervous system to overcome losses in muscular strength and endurance that result from neurological impairments such as spinal cord injury.
The devices can be attached externally or surgically implanted. They can improve functions such as sitting stability and rowing machine performance.
It’s not hard to imagine some athletes using these devices to gain a significant – but possibly undetectable – advantage over competitors.
The International Paralympic Committee has a . One of the principles is that sports performance should be determined primarily by human performance, and the effect of technology and equipment should be secondary.
However, upholding this principle requires enforceable rules. As technology advances, this will become increasingly challenging – .
Levelling the playing field
Technology can also play a crucial role when it comes to classifying athletes.
Each of the to ensure competition is fair and meaningful. Each athlete is classified according to the type and severity of their impairment.
However, classification is not without its challenges.
Despite significant research advances, the best and most valid processes available still rely on expert judgement. And even when classifiers follow strict guidelines, there is an incredibly wide array of test results for classifiers to consider.
Many classification tests also require athletes to give a full effort. This leaves open the possibility an athlete wishing to gain an unfair competitive advantage on these tests to exaggerate their impairment severity. They might then be placed in a class of athletes with more severe impairments.
To address these challenges, we are that is currently developing an artificial intelligence-driven classification system.
We will use computer vision of para athletes performing a wide array of movements over time to train the system and develop an app. The app will allow athletes anywhere in the world to video themselves performing sports-related tasks, submit the video and receive an accurate, objective sports class.
This will make classifications more trustworthy and will improve access for athletes in rural and remote areas or developing countries.
However, the diversity of para athletes is enormous and the process of recruiting and filming a representative sample of high-level para athletes will not be easy. The system also can’t fully protect against athletes deliberately under-performing. But it is able to detect variations in performance that occur over time which would not otherwise be detectable to the human eye.
This will give greater confidence in the accuracy of the athlete’s classification.
Once the system is developed, its success will also depend on gaining the trust of the whole Paralympic community.
Using technology to gain an unfair advantage is as old as sport itself. But technology is also the very tool we must use to ensure fairness and to level the playing field.
John Cairney is currently working with an industry partner on developing an AI-driven method for athlete classification.
Emma Beckman is on secondment with the Queensland Academy of Sport and Paralympics Australia. She is currently working with an industry partner on developing an AI-driven method for athlete classification.
Sean Tweedy is currently working with an industry partner on developing an AI-driven method for athlete classification. He is also a member of the International Paralympic Committee’s Classification Compliance and Oversight Committee and a member of World Para Athletics Classification Advisory Group.
