Ski exergame for squat training to change load based on predicted Locomotive risk level

Regular lower-limb exercise is an effective way to reduce the risk of locomotive syndrome. However, it may be difficult to perform the exercises continuously from the viewpoint of maintaining motivation during home training without a coach. In this study, we developed a ski exergame accompanied with a suit fitted with pneumatic gel muscles (PGMs) for squat training to reduce locomotive risks. The suit allows adjusting the amount of load during training according to the locomotive risk level estimated using an artificial neural network (ANN). We measured electromyography (EMG) in the lower limbs of five subjects who were wearing the suit to evaluate its performance. As a result, It was found that EMG increased in part when wearing the suit and the load was enhanced.