Gesture Recognition Method Utilizing Ultrasonic Active Acoustic Sensing

• Item type: Journal(1)
• 公開日: 2017-04-15
• タイトル: Gesture Recognition Method Utilizing Ultrasonic Active Acoustic Sensing
• タイトル / 言語: en
• タイトル: Gesture Recognition Method Utilizing Ultrasonic Active Acoustic Sensing
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文（推薦論文）] wearable computing, gesture recognition, ultrasound, active acoustic sensing
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Engineering, Kobe University／Japan Society for the Promotion of Scienece
• 著者所属: Graduate School of Engineering, Kobe University／PRESTO, Japan Science and Technology Agency
• 著者所属: Graduate School of Engineering, Kobe University
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Kobe University / Japan Society for the Promotion of Scienece
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Kobe University / PRESTO, Japan Science and Technology Agency
• 著者所属(英): en
• 著者所属(英): Graduate School of Engineering, Kobe University
• 著者名: Hiroki, Watanabe; Tsutomu, Terada; Masahiko, Tsukamoto
• 著者名(英): Hiroki, Watanabe; Tsutomu, Terada; Masahiko, Tsukamoto
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We propose a method for gesture recognition that utilizes active acoustic sensing, which transmits acoustic signals to a target, and recognizes the target's state by analyzing the response. In this study, the user wore a contact speaker that transmitted ultrasonic sweep signals to the user's body and a contact microphone that detected the ultrasound propagated through the body. The propagation characteristics of the ultrasound changed depending on the user's movements. We utilized these changes to recognize the user's gestures. One of the important novelty features of our method is that the user's gestures can be acquired not only from the physical movement but also from the user's internal state, such as muscle activity, since ultrasound is transmitted via both the user's internal body and body surface. Moreover, our method is not adversely affected by audible-range sounds generated by the environment and body movements because we utilize ultrasound. We implemented a device that uses active acoustic sensing to effectively transmit/detect the ultrasound to/from the body and investigated the performance of the proposed method in 21 contexts with 10 subjects. The evaluation results confirmed that the precision and recall are 93.1% and 91.6%, respectively when we set 10% of the data as training data and the rest as testing data in the same data set. When we used the data set for training and the other data set for testing in the same day, the precision and recall are 51.6% and 51.3%, respectively.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.25(2017) (online); DOI http://dx.doi.org/10.2197/ipsjjip.25.331; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We propose a method for gesture recognition that utilizes active acoustic sensing, which transmits acoustic signals to a target, and recognizes the target's state by analyzing the response. In this study, the user wore a contact speaker that transmitted ultrasonic sweep signals to the user's body and a contact microphone that detected the ultrasound propagated through the body. The propagation characteristics of the ultrasound changed depending on the user's movements. We utilized these changes to recognize the user's gestures. One of the important novelty features of our method is that the user's gestures can be acquired not only from the physical movement but also from the user's internal state, such as muscle activity, since ultrasound is transmitted via both the user's internal body and body surface. Moreover, our method is not adversely affected by audible-range sounds generated by the environment and body movements because we utilize ultrasound. We implemented a device that uses active acoustic sensing to effectively transmit/detect the ultrasound to/from the body and investigated the performance of the proposed method in 21 contexts with 10 subjects. The evaluation results confirmed that the precision and recall are 93.1% and 91.6%, respectively when we set 10% of the data as training data and the rest as testing data in the same data set. When we used the data set for training and the other data set for testing in the same day, the precision and recall are 51.6% and 51.3%, respectively.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.25(2017) (online); DOI http://dx.doi.org/10.2197/ipsjjip.25.331; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 58, 号 4, 発行日 2017-04-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764