Time is a primary classification parameter in alpine skiing competitions. In this study a measuring procedure and methodology were developed how to accurately retrieve gate-to-gate times using a high-end navigation system (GNSS). This allows a direct insight into intercourse or gate-to-gate time difference. This knowledge will be directly used in the project while determining the turns.
COBISS.SI-ID: 4109745
Despite the fact that the athletes in alpine skiing are classified according to time where the differences among competitors in can be in fractions of a second, in short sections (e.g., 1 to 4 gates) very larger differences can occur. It turns out that the time for determining the quality of skiing in a short section is not a good parameter because it is very strongly related to the entrance velocity, i.e. skiing before the inspected section. Therefore, we developed a new integral energy parameter: change in specific mechanical energy normalized by the entrance velocity, which directly defines the quality of skiing on a shor section. The new developed parameter will be used in the project to define the quality of skiing using different skis.
COBISS.SI-ID: 3856817
This work describes new paradigm for sensorimotor learning of robots. In classical concept the human act just as a passive demonstrator. In the proposed approach the human demonstrator is in the feedback loop with the robot, where the visual and kinaesthetic feedback is provided through the virtual reality system and the Stewart platform. The results from this research will be directly applied to the project, especially for the estimation of joint forces and torques in biomechanical model of the skier.
COBISS.SI-ID: 24969767