In recent years there have been several applications for the study of stabilometric mainly in the analysis of disorder, using mechanical structures of one or two degrees of freedom. An architecture of a stabilometric platform is proposed, which can acquire data through a virtual environment, in this case, a Snowboarding environment, since this sport provides greater balance, increases flexibility and strength in the muscles, and strengthens the lower limbs since it can have a displacement movement in one direction. Thanks to this environment, an architecture is proposed to execute several applications, focused on balance rehabilitation. As a result of this proposal, mathematical models were made by applying the Euler Lagrangian theory, and architecture was obtained that can acquire data in real-time, allowing to visualize this data through a sensor, which shows the position of the person with its respective movement. Also, with the implementation of the Self-Assessment Manikin (SAM) a preliminary study was conducted with 10 people in which 70% presented a discussion of different errors in the design and development stage in the virtual environment, also, 10% of the study population showed greater spatial disorientation to one side of the platform. Thanks to this, it was possible to modify the virtual environment and obtain a more efficient response by implementing this method. As future work, it is proposed to develop variable control systems on the platform and a trajectory variation in the virtual environment.