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J-GLOBAL ID：202002287463973770   Reference number：20A1983762

A Method of Gait Event Detection by Convolutional Neural Network using Inertial Measurement Unit-A Preliminary Test with Healthy Subjects-

慣性センサを用いたニューラルネットワークによる歩行事象検出法-健常者での基礎的試験-

Author (2)： NOZAKI YOSHITAKA (東北大 大学院工学研究科) ,  WATANABE TAKASHI (東北大 大学院医工学研究科)
Material： 電子情報通信学会技術研究報告(Web)  (IEICE Technical Report (Web))
Volume： 120  Issue： 111(MBE2020 10-11)  Page： 1-3 (WEB ONLY)  Publication year： Jul. 11, 2020 
JST Material Number： U2030A  ISSN： 2432-6380  Document type： Proceedings
Article type： 短報  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： sensor ,...

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JST classification (1)： Biometry  (EL03020C)

Reference (8)：

• Y. Nozaki, T. Watanabe, ′′A Basic Study on Detection of Movement State in Stride by Artificial Neural Network for Estimating Stride Length of Hemiplegic Gait Using IMU,′′ Conf. Proc. IEEE Eng Med Biol Soc., pp. 3151-3154, 2019.
• Y. Teruyama and T. Watanabe, “Effectiveness of Variable-Gain Kalman Filter based on Angle Error Calculated from Acceleration Signals in Lower Limb Angle Measurement with Inertial Sensors,” Comput. Math. Methods in Med., vol. 2013, 398042, 2013.
• T. Watanabe, S. Endo, and R. Morita, “Development of a Prototype of Portable FES Rehabilitation System for Re-learning of Gait for Hemiplegic Subjects,” Healthc. Technol. Lett., vol. 3, issue 4, pp. 284- 289,2016.
• M. Shiotani, T. Watanabe, “A Basic Study on Quantitative Evaluation of 3-dimensional Foot Movements with an Inertial Sensor during FES Foot Drop Correction,” Conf. Proc. IEEE Eng Med Biol Soc., pp. 6684-6687, 2015.
• Catalfamo, P.; Ghoussayni, S.; Ewins, D. “Gait Event Detection on Level Ground and Incline Walking Using a Rate Gyroscope,” Sensors, 10, 5683-5702,2010.

Terms in the title (7)： 慣性センサ ,  ニューラルネットワーク ,  歩行 ,  事象検出 ,  健常者 ,  基礎 ,  試験