Augmenting the Boxing Game with Smartphone IMU-based Classification System on Waist

While boxing games allow players to learn techniques at home, they seldom check players’ movements. We propose tracking the players’ performance by smartphone sensors and classifying punches with convolutional neural network models. As a result, we achieved accuracies of 79.2% and 84.6% for 10 participants with two experiments, implying the possibilities and facilitation of smartphone sensors in boxing classifications of people with varying experiences.