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In this study, an intelligent predictor is designed for predicting the direction of dinghy booms and coaching dinghy sailing using the designed predictor with information obtained from multiple sensors attached to the dinghy and the sailor. For this purpose, we designed a Takagi-Sugeno-Kang-based linguistic model with interval prediction based on fuzzy granulation, which can be realized by using a...
In this paper, we present auto-encoder (AE), stacked auto-encoder (SAE) and sparse auto-encoder (SPAE) to classify gaits of horse riding for real riding coaching. The parameters of each auto-encoder are adjusted to compare the performance. The data is collected from 16 inertial sensors attached to a motion capture suit to construct a motion database. We build the motion features as the method of gaits...
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