Inertial Sensors for Human Motion Analysis: A Comprehensive Review

被引:21
作者
Garcia-de-Villa, Sara [1 ,2 ,3 ]
Casillas-Perez, David [3 ]
Jimenez-Martin, Ana [1 ]
Garcia-Dominguez, Juan Jesus [1 ]
机构
[1] Univ Alcala, Dept Elect, Alcala De Henares 28805, Spain
[2] UPM, Ctr Automat & Robot CSIC, Arganda Del Rey 28500, Spain
[3] Rey Juan Carlos Univ, Dept Signal Theory & Commun, Madrid 28942, Spain
关键词
Human motion; inertial measurement units (IMUs); inertial sensors; kinematic analysis; motion analysis; EXTENDED KALMAN FILTER; JOINT ANGLE MEASUREMENT; KNEE ANGLE; GAIT KINEMATICS; DRIFT-FREE; SYSTEM; TRACKING; ACCELEROMETERS; ORIENTATION; PREDICTION;
D O I
10.1109/TIM.2023.3276528
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Inertial motion analysis is having a growing interest during the last decades due to its advantages over classical optical systems. The technological solution based on inertial measurement units allows the measurement of movements in daily living environments, such as in everyday life, which is key for a realistic assessment and understanding of movements. This is why research in this field is still developing and different approaches are proposed. This presents a systematic review of the different proposals for inertial motion analysis found in the literature. The search strategy has been carried out on eight different platforms, including journal articles and conference proceedings, which are written in English and published until August 2022. The results are analyzed in terms of the publishers, the sensors used, the applications, the monitored units, the algorithms of use, the participants of the studies, and the validation systems employed. In addition, we delve deeply into the machine learning techniques proposed in recent years and in the approaches to reduce the estimation error. In this way, we show an overview of the research carried out in this field, going into more detail in recent years, and providing some research directions for future work.
引用
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页数:39
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