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
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
收藏
页码:264 / 273
页数:10
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