Running is a widely practiced activity providing significant health benefits but also potential injury risks. A thorough biomechanical analysis is essential for optimizing performance and preventing running-related injuries. In running characterization, stride length (SL) and stride velocity (SV) are key running spatio-temporal parameters quantifying foot displacement and velocity within a stride. These parameters can be assessed in indoor and outdoor conditions by wearable magneto-inertial measurement units (MIMUs) through the adoption of ad-hoc algorithms. The most direct approach to estimate spatial-related parameters is to double integrate foot accelerations after gravity removal. Effective gravity removal requires to accurately estimate the foot orientation which can be determined through a sensor fusion algorithm (SFA) using (magneto-)inertial signals.