We are working on an innovative approach to outdoor human motion capture, using a wearable device that uses integration of low cost GNSS (Global Navigation Satellite System) receiver and INS (Inertial Navigation System) with Zero-Velocity Update (ZUPT) methodology.In this study, we focused on using these devices to reconstruct the foot trajectory. Our work addresses the challenge of capturing precise foot movements in uncontrolled outdoor environments, a task traditionally constrained by the limitations of laboratory settings. We mounted these devices that combine inertial measurement units (IMUs) with GNSS receivers in this configuration: one on each foot and one on the head. We experimented with different GNSS data processing techniques, such as Real-Time Kinematic (RTK) positioning with and without Moving Base, and after the integration with the IMU, we obtained centimeter-level precision in horizontal positioning for various walking speeds. This integration leverages a loosely coupled GNSS/INS approach, where the GNSS solution is independently processed and subsequently used to refine the INS outputs. Enhanced by ZUPT and Madgwick filter this method significantly improves the trajectory reconstruction accuracy, particularly in horizontal positioning, while revealing limitations in vertical component accuracy and high sensitivity to walking speed. Indeed our research includes a study of the impact of moving speed on the performance of these low-cost GNSS receivers. These insights pave the way for future exploration into tightly-coupled GNSS/INS integration using low-cost GNSS receivers, promising advancements in fields like sports science, rehabilitation, and well-being. This work wants not only to contribute to the field of wearable technology but also to open up possibilities for further innovation in affordable, high-accuracy personal navigation and activity monitoring devices.