By collecting the changes of kinds of vital signs(including heart beat / blood pressure / steps), we combined the results with the testers’ fatigue scores which belonged to the matched fatigue typestheir basic profiles. We extracted 780 types of structural features sets by cleaning raw data, then separating into training set, validation settesting set. With machine learning algorithm to auto-optimize regression analysis, finally we come out the correlative features between vital signsfatigue ,the overwork model as our deliverables.

The pitching data collected by the motion analysis system was imported into the virtual reality system. In our system, players can see their 3D pitching motionknow the difference between normalfatigue data.

The main purpose of this invention is to provide a training system with the surrounding photographing unit, the display unit,a force platform. The system can immediately capture the motion of the user from various angles,measure the force of the user from both legs, in order to provide the useful biofeedback information to coachesathletes.

Technology localization of design verification for substructure of OWT by introducing the international OC4 project outcomes has been established, considering geological conditions of domestic wind farms, especially for typhoonearthquake. The proposed load calculation procedure can be useful for design, O&M of future domestic offshore wind farms.