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Micro-Doppler Radar Gait Measurement to Detect Age- and Fall Risk-Related Differences in Gait: A Simulation Study on Comparison of Deep Learning and Gait Parameter-Based Approaches

机译：微多普勒雷达步态测量，以检测步态的年龄和秋季风险相关差异：基于深度学习和步态参数的比较模拟研究

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Kenshi Saho; Keitaro Shioiri; Masahiro Fujimoto; Yoshiyuki Kobayashi;
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1. Gait Classification of Young Adults, Elderly Non-Fallers, and Elderly Fallers Using Micro-Doppler Radar Signals: Simulation Study [J] . Kenshi Saho, Masahiro Fujimoto, Masao Masugi, IEEE sensors journal . 2017,第8期

机译：使用微多普勒雷达信号对年轻人，老年人和老年人的步态分类：模拟研究
2. Hamstring and psoas length of crouch gait in cerebral palsy: a comparison with induced crouch gait in age- and sex-matched controls [J] . Tae-Yon Rhie, Ki Hyuk Sung, Moon Seok Park, Journal of NeuroEngineering Rehabilitation . 2013,第3期

机译：瘫痪步态的绳肌和腰肌长度：与年龄和性别相匹配的对照组中诱发的步态步态的比较
3. Human identification based on natural gait micro-Doppler signatures using deep transfer learning [J] . Ni Zhongfei, Huang Binke Radar, Sonar & Navigation, IET . 2020,第10期

机译：基于自然步态微多普勒签收的人类识别使用深度转移学习
4. Deep Learning-based identification of human gait by radar micro-Doppler measurements [C] . V. S. Papanastasiou, R. P. Trommel, R. I. A. Harmanny, European Radar Conference . 2021

机译：雷达微多普勒测量基于深度学习的人体步态识别
5. High Range Resolution Micro-Doppler Radar Theory and Its Application to Human Gait Classification [D] . Cammenga, Zachary Andrew. 2017

机译：高分辨率微多普勒雷达理论及其在人体步态分类中的应用
6. Deep Learning Approaches for Detecting Freezing of Gait in Parkinson’s Disease Patients through On-Body Acceleration Sensors [O] . Luis Sigcha, Nélson Costa, Ignacio Pavón, 2020

机译：通过人体加速度传感器检测帕金森氏病患者步态冻结的深度学习方法
7. Hamstring and psoas length of crouch gait in cerebral palsy: a comparison with induced crouch gait in age- and sex-matched controls [O] . Tae-Yon Rhie, Ki Hyuk Sung, Moon Seok Park, 2013

机译：瘫痪步态的绳肌和腰大肌长度：与年龄和性别相匹配的对照组诱发的步态步态的比较

Micro-Doppler Radar Gait Measurement to Detect Age- and Fall Risk-Related Differences in Gait: A Simulation Study on Comparison of Deep Learning and Gait Parameter-Based Approaches

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