Physical activity analysis assessment has been a concern throughout human history. The intersection of technological growth with sports has given rise to a burgeoning field known as sports engineering. In the 19th century, the advent of chrono-photography and pioneering marked the inception of sports performance analysis. In recent years, the noticeable developments achieved in wearable low-power electronics with wireless high interconnection capability, as a part of modern technologies, have aided us in studying sports parameters such as motor behavior, biomechanics, equipment design, and materials science, playing an essential role in the understanding of sports dynamics. This study aims to review over 250 published articles since 2018, focusing on utilizing and validating these emergent technologies in sports and clinical aspects. It is predicted that one of the next steps in sports technology and engineering development will be using algorithms based on artificial intelligence to analyze the measurements obtained by multi-sensor systems (sensor fusion) to monitor biometric and physiological parameters in performance analysis and health assessments.

Accurate observation of specific athletes' movements can assist coaches in assessing sporting gestures and addressing specific technical flaws, thereby enhancing overall performance. In addition, the system could support the biomechanical study in case of those technical personalisms that could lead to excessive overloading of the muscle-tendon and joint apparatus, resulting in an increased risk of injury. In this paper we propose the use of a recently developed system that employs artificial intelligence techniques to provide a reliable estimation of human body pose, opening up new possibilities for sports-related applications.

In sprint canoeing, the assessment of the paddling technique and its effectiveness in speed and oscillation of the boat can supply helpful support to the coach to fix any technical flaws and improve the whole performance. This paper proposes a study using the DAQuino system customized for sprint canoeing. Some preliminary measured results will be shown and discussed.