Abstract

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This paper aims to dig deep into how the multifaceted role of AI, within the realm of the Internet of Bodies (IoB), enhances running economy through wearable self-tracking technology and adds value to the study of running biomechanics through performance optimization evaluation. In other words, I want to convey how AI is redefining how athletes train and how they are increasingly delivering successful results due to data-driven performance indicators and algorithms that shape training. My research will communicate how society is shifting towards relying on machine learning for optimization and by narrowing my focus to running optimization I will exemplify the significant promise that AI continues to have on individuals, in this case athletes. The integration of technology and the human body envelops the physical and virtual realms together, forming what is known as IoB, through which I will assess the convenience of having the human body connected to technology as well as the potential harms that come with it. Negative consequences include security concerns and the availability of data that can damage the human body, as well as racial bias in wearable tech. In addition, I will explore how individuals increasingly rely on self-tracking through the lens of how machine learning algorithms and AI are employed in devices that record biometrics and transmit data to the IoB. This investigation will offer a thorough understanding of the growing dependence on technology for personal health and performance monitoring.