Accurate Boomerang Rotation Speed Estimation from Low-Cost IMU

• Item type: Symposium(1)
• 公開日: 2020-06-17
• タイトル: Accurate Boomerang Rotation Speed Estimation from Low-Cost IMU
• タイトル / 言語: en
• タイトル: Accurate Boomerang Rotation Speed Estimation from Low-Cost IMU
• 言語: jpn
• キーワード / 主題Scheme: Other
• キーワード / 主題: ユビキタスコンピューティングシステム
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: Aoyama Gakuin University
• 著者所属: DARWIN BOOMERANGS
• 著者所属: University Jean Monnet
• 著者所属: Aoyama Gakuin University
• 著者所属(英): en
• 著者所属(英): Aoyama Gakuin University
• 著者所属(英): en
• 著者所属(英): DARWIN BOOMERANGS
• 著者所属(英): en
• 著者所属(英): University Jean Monnet
• 著者所属(英): en
• 著者所属(英): Aoyama Gakuin University
• 著者名: Kondo, Takumi; Madec, Yvan; Maret, Pierre; Lopez, Guillaume
• 著者名(英): Kondo, Takumi; Madec, Yvan; Maret, Pierre; Lopez, Guillaume
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: In recent years, some research and techniques have shown many approaches for analyzing the athlete movement with sensor data. A smartphone's application is already available to provide feedback without an instructor by analyzing the user movement with device mounted sensors. To ease boomerang learning, we are developing a smart boomerang mounted a low-cost IMU sensor and a high-cost gyroscope. In the future, to be able to sell smart boomerangs as off the shelf, it will be necessary to remove the high-cost gyroscope. However, the gyroscope value of the IMU sensor saturates while the boomerang is flying. On the other hand, the high-cost one has enough performance. In this study, we estimated the high-cost gyroscope value in the range of low-cost gyroscope saturation using other sensor values. As a result, the polynomial estimated formula of the second degree using x-axis acceleration has enough good accuracy to make up for the high-cost gyroscope.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: In recent years, some research and techniques have shown many approaches for analyzing the athlete movement with sensor data. A smartphone's application is already available to provide feedback without an instructor by analyzing the user movement with device mounted sensors. To ease boomerang learning, we are developing a smart boomerang mounted a low-cost IMU sensor and a high-cost gyroscope. In the future, to be able to sell smart boomerangs as off the shelf, it will be necessary to remove the high-cost gyroscope. However, the gyroscope value of the IMU sensor saturates while the boomerang is flying. On the other hand, the high-cost one has enough performance. In this study, we estimated the high-cost gyroscope value in the range of low-cost gyroscope saturation using other sensor values. As a result, the polynomial estimated formula of the second degree using x-axis acceleration has enough good accuracy to make up for the high-cost gyroscope.
• 書誌情報: マルチメディア，分散協調とモバイルシンポジウム2103論文集; 巻 2020, p. 577-580, 発行日 2020-06-17
• 出版者 / 言語: ja
• 出版者: 情報処理学会