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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.05098 |
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| _version_ | 1866909380370235392 |
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| author | Maeda, Yusaku Sakurai, Sho Hirota, Koichi Nojima, Takuya |
| author_facet | Maeda, Yusaku Sakurai, Sho Hirota, Koichi Nojima, Takuya |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_05098 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Proposal of a Contact Detection System using Micro-phones for a Chambara-based Augmented Sports Maeda, Yusaku Sakurai, Sho Hirota, Koichi Nojima, Takuya Human-Computer Interaction 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. |
| title | Proposal of a Contact Detection System using Micro-phones for a Chambara-based Augmented Sports |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2411.05098 |