## 1 _Editorial_ Special Issue on Performance Analysis in Sport and Exercise  
**[PERSON] 1,2 and [PERSON] 2,* 2**  
Footnote 1: Human Performance Lab, Centre of Space Bio-Medicine, Department of Medicine Systems, University of Rome Tor Vergata, I00133 Rome, Italy; [EMAIL_ADDRESS]  
Footnote 2: Sports Engineering Lab, Department of Industrial Engineering, University of Rome Tor Vergata,  
I00133 Rome, Italy  
Footnote 3: [[https://www.mdpi.com/journal/applsci](https://www.mdpi.com/journal/applsci)]([https://www.mdpi.com/journal/applsci](https://www.mdpi.com/journal/applsci))  
Correspondence: [EMAIL_ADDRESS]  
The analysis of human performance has always aroused great interest from s sport scientists and, more recently, the clinical field. In elite sports, aspects that contribute to performance can be found in the athlete's physiological strength and power, technique, strategy, and mental toughness. Since victory is often a matter of a few details, it is becoming increasingly critical to regularly monitor specific biomechanical parameters to fine-tune both technique and training programs in order to achieve incremental performance improvements and reduce the risk of injury. In this context, modern electronic technology, thanks to the reduced power requirements and dimensions of the devices developed, is, therefore, less invasive, allowing the wide distribution of wearable, light, and easily interconnected devices (Internet of Things-IoT). Consequently, this has led to the development of new devices specifically designed for sports applications and often integrated into sportswear or incorporated into sports equipment. This wide availability of wearable sensors has led to the easier accessibility of different physiological, dynamic, and kinematic parameter data. Therefore, the extensive availability of these parameters, often easily accessible even from simple mobile or tablet apps, allows in-depth analyses of human movement to be performed quickly. Furthermore, many advanced technology systems initially developed exclusively for the sporting field have also proved effective in the clinical evaluation of motor gestures, to quantify the variability of daily motor gestures from reference physiological models in patients suffering from neurodegenerative pathologies. Among the evaluation systems that, in recent years, have shown significant improvement, we should also consider video analysis systems not only in 2D but also in 3D. Modern video cameras with a high-acquisition frequency (fps) and software systems based on deep learning techniques today allow for in-depth and non-invasive analyses of human movement. Therefore, the wide availability of biological and biomechanical parameters of human movement, obtained through increasingly less invasive and easy-to-implement evaluation and monitoring systems, has allowed the development of mathematical models of human performance that are increasingly close to the reality of the phenomenon analyzed. With this in mind, the main goal of this Special Issue is to address the existing knowledge on the methods and devices currently used to study and analyze human movement performance in sports and clinical fields. In sports, scientific publications reflect the wide range of approaches and technologies available and the growing interest in various sports. The scientific contributions in sport performance analysis reflect the wide range of methods exploiting the available technologies and the growing interest in their applications across several disciplines. In particular, as already mentioned, several technological systems can be used for the performance assessment of athletes; the most popular among them include video analysis systems, wearable devices, and tracking devices such as GPS (Global Positioning System). The latter is the most widely used, mainly due to its ease of use and relatively low cost. Due to its limited indoor satellite range, it is primarily used in outdoor sports, such as soccer [1].