A Proposal of EMG-Based Training Support System for Basketball Dribbling

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 ill 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.