Machine Learning and Inertial Sensors to Estimate Vertical Ground Reaction Force During Gait

被引：0

作者：

Martinez-Pascual, David ^{[1
]}

Alvarez-Pastor, Jesus ^{[1
]}

Irles, Clemente ^{[1
]}

Garcia-Perez, Jose Vicente ^{[1
]}

Blanco, Andrea ^{[1
]}

Vales, Yolanda ^{[1
]}

Garcia-Aracil, Nicolas ^{[1
]}

机构：

[1] Miguel Hernandez Univ, Bioengn Inst, Robot & Artificial Intelligence, Elche, Spain

来源：

ROBOT2022: FIFTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 2 | 2023年 / 590卷

关键词：

Vertical ground reaction force; Gait analysis; IMU; Machine learning;

D O I：

10.1007/978-3-031-21062-4_22

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

During gait, vertical ground reaction forces (vGRF) can reach magnitudes which could cause different lower limb injuries. Measuring and studying generated vGRF can help to prevent musculoskeletal disorders. However, in order to measure vGRF, it is required the use of expensive equipment, which may also limit the study environment. This work presents different Machine Learning models to predict vGRF employing inertial sensors.

引用

页码：264 / 273

页数：10

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