Human gait assessment plays an essential role in clinical diagnostics, rehabilitation, and biomechanical research. While optical motion capture systems provide high spatial accuracy, their application is constrained by high cost, complex setup, and dependence on laboratory environments. Wearable inertial sensing offers a more accessible alternative, enabling real-world data collection in a portable and cost-effective manner. This work presents a wireless sensor platform for the collection of biodynamic data from the lower limbs during walking. The platform consists of several compact sensor modules attached to the lateral surfaces of the thighs and shins, each independently recording accelerometer and gyroscope data and transmitting it via wireless connection to a mobile device. To address the challenge of inter-sensor synchronization, a post-processing method is implemented. Each sensor operates on its own internal clock, resulting in unsynchronized timelines. The proposed approach defines a common time interval across all sensors and resamples each signal to a unified time grid using interpolation. This ensures precise temporal alignment without requiring hardware synchronization. The resulting synchronized data can be used for calculating joint kinematics and further biomechanical analysis. The platform offers a flexible, low-cost solution suitable for various research and application contexts, including gait monitoring, functional assessment, and rehabilitation tracking.