The rapid convergence of wearable technology, artificial intelligence (AI), virtual and mixed-reality movement platforms, and advanced biomechanical diagnostics marks the greatest transformation in physical activity science since the invention of progressive overload. Training and rehabilitation are no longer guided by generalized “fitness advice” but by precision movement intelligence—continuous sensing, predictive modeling, and individualized prescription. This paper presents a clinical biomechanics manifesto for the emerging era: moving from population-average exercise recommendations toward digital phenotyping, sensor fusion, and adaptive performance dosing. It outlines how force-velocity profiling, ecological validity, augmented coaching, and AI-driven feedback loops can reshape rehabilitation, performance, and public health—while warning of ethical, privacy, and over-automation risks. The central thesis is simple: the future of movement is measurable, modelable, and individually prescribable—if the field builds correct standards for validity, interpretation, and responsible use.
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Mehta, N., Tiwari, S., Mahajan, G., Achouri, I., & Pankaj M. (2025). Technology Transforms Physical Activity: Precision, Prescription & Performance. Journal of Movement Mechanics & Biomechanics Science, 2(1). https://doi.org/10.5281/zenodo.18063880
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