This study presents a novel contact detection system for "Parablade," a chambara-based, sword-play augmented sport. Augmented sports combine physical activities with virtual parameters (VPs) to create a balanced and equitable gaming experience, irrespective of players' physical capabilities. The proposed Parablade Microphone Unit (PMU) employs multiple micro-phones and machine learning algorithms to detect and classify hit events through sound recogni-tion. This system aims to ensure real-time updates of VPs, thereby enhancing the gameplay expe-rience. Experimental results indicate that the PMU can accurately recognize the occurrence and location of hit events with a high accuracy rate of 93.33%, with the assistance of 10kHz additional sound generated from the sword.
@article{arxiv.2411.05098,
title = {Proposal of a Contact Detection System using Micro-phones for a Chambara-based Augmented Sports},
author = {Yusaku Maeda and Sho Sakurai and Koichi Hirota and Takuya Nojima},
journal= {arXiv preprint arXiv:2411.05098},
year = {2024}
}
Comments
Part of proceedings of 6th International Conference AsiaHaptics 2024