Marlon Oliveira*
The pervasive or ubiquitous use of computing, i.e. the incorporation of sensor information, processing, and communication technology into everyday objects, has been integrated into a wide range of sports and exercise-related areas. Scientific experiments in motion studies conducted under valid ecological conditions; assistive technology assisting recreational and health-conscious athletes in their physical activities; and performance and tactical analyses of association football games providing analysis immediately following the end of a match, to name a few examples. The current state of the art in micro-electromechanical system inertial measurement units (MEMS IMU) and current approaches for data acquisition on human activities and sports are discussed. The integration of these sensors and cloud computing technologies is discussed later in the work, but first we discuss the benefits of wearable devices, which have gained a strong foothold in sport performance analysis when combined with mobile computing. We look at a variety of pervasive computing applications in sports performance and health. Among these applications are advances in computer vision with deep learning algorithms used to evaluate sports skills, promote injury prevention, and provide key performance indicators in a variety of sports. The progress in the integration of various sensors in wearable intelligent monitoring systems is broadly described. Sensor fusion is used specifically in sports and health monitoring to quantify exercise parameters and body response, provide classification of activities and movement patterns, estimate energy expenditure, and assess sleeping patterns.
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