Marker-less Kendo Motion Prediction Using High-speed Dual-camera System and LSTM Method
Abstract: Kendo is becoming popular worldwide nowadays. This research aims to develop a high-speed vision system to capture Kendo motions clearly and predict the intent attacking target of the trainee. We proposed a method to increase the joints detecting frequency by combining the joints tracking algorithm with OpenPose. For motion prediction, we applied LSTM method to achieve real-time predicting. In the end, we got 66% accuracy for basic Kendo moves prediction.
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