The interest in understanding the cortical involvement in the control of human gait has led to increasingly in-depth studies of sensorimotor integration during dynamic activities. However, the nature of corticospinal interactions underlying this mechanism remains still poorly understood due to technological limitations in acquiring electrophysiological (i.e. Electroencephalograms-EEG, Electromyograms-EMG) and biomechanical signals during dynamic tasks. Despite significant technological advancements over the past years, one of the main issues concerns the physical constraints associated with the wired technology of EEG devices, which makes the experimental setups bulky, prone to movement artifacts, thus unsuitable for dynamic tasks. In this context, this study tested an innovative wireless body sensor network to simultaneously collect EEG, sEMG, kinematic data and ground reaction forces.