In the paper, we propose a novel HCI methodology for supporting human sports training. The proposed system utilizes electromyogram (EMG) signals as the metrics for evaluating the motor skill acquisition process, because it is well known that EMG signals measured from human experts are notably different from beginners in terms of timing and sharpness. According to this, we hypothesized that visualizing the difference of EMG signals between an expert and a learner, and providing the error information to the learner in real-time accelerates the learning process. The preliminary results show that the proposed method is effective especially in the early stage of training of beginners. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Abe, S., Nozawa, T., & Kondo, T. (2009). A proposal of EMG-based training support system for basketball dribbling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5617 LNCS, pp. 459–465). https://doi.org/10.1007/978-3-642-02556-3_52
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