Punch Detection and Classification Using Multiple IMUs

• Item type: Symposium(1)
• 公開日: 2022-07-06
• タイトル: Punch Detection and Classification Using Multiple IMUs
• タイトル / 言語: en
• タイトル: Punch Detection and Classification Using Multiple IMUs
• 言語: eng
• 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: 青山学院大学
• 著者所属: 青山学院大学
• 著者所属: 青山学院大学
• 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): Aoyama Gakuin University
• 著者所属(英): en
• 著者所属(英): Aoyama Gakuin University
• 著者名: 花田, 祥典; 横窪, 安奈; ロペズ, ギヨーム
• 著者名(英): Yoshinori, Hanada; Anna, Yokokubo; Guillaume, Lopez
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Physical exercise is essential for living a healthy life since it has substantial physical and mental health benefits. For this purpose, wearable equipment and sensing devices have exploded in popularity in recent years for monitoring physical activity, whether for well-being, sports monitoring, or medical rehabilitation. In this regard, this paper focuses on introducing sensor-based punch detection and classification methods toward the boxing supporting system which is popular not only as a competitive sport but also as a fitness standard. The proposed method is evaluated on 10 participants where we achieved 98.8% detection accuracy, 98.9% classification accuracy with SVM in-person-dependent (PD) cases, and 91.1% classification accuracy with SVM in person-independent (PI) cases. In addition, we conducted a preliminary experiment for classifying 6 different types of punches performed from both hands for two different sensor positions (right wrist and upper back). The result suggested that using an IMU on the upper back is more suited for classifying both hand punches than an IMU on the right wrist.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Physical exercise is essential for living a healthy life since it has substantial physical and mental health benefits. For this purpose, wearable equipment and sensing devices have exploded in popularity in recent years for monitoring physical activity, whether for well-being, sports monitoring, or medical rehabilitation. In this regard, this paper focuses on introducing sensor-based punch detection and classification methods toward the boxing supporting system which is popular not only as a competitive sport but also as a fitness standard. The proposed method is evaluated on 10 participants where we achieved 98.8% detection accuracy, 98.9% classification accuracy with SVM in-person-dependent (PD) cases, and 91.1% classification accuracy with SVM in person-independent (PI) cases. In addition, we conducted a preliminary experiment for classifying 6 different types of punches performed from both hands for two different sensor positions (right wrist and upper back). The result suggested that using an IMU on the upper back is more suited for classifying both hand punches than an IMU on the right wrist.
• 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2022論文集; 巻 2022, p. 1618-1624, 発行日 2022-07-06
• 出版者 / 言語: ja
• 出版者: 情報処理学会