Synthetized inertial measurement units (IMUs) to evaluate the placement of wearable sensors on human body for motion recognition

被引：7

作者：

Hoareau, Damien ^{[1
,2
]}

Jodin, Gurvan ^{[1
,2
]}

Chantal, Pierre-Antoine ^{[2
]}

Bretin, Sara ^{[2
,3
]}

Prioux, Jacques ^{[4
]}

Razan, Florence ^{[1
,2
,3
]}

机构：

[1] Ecole Normale Super Rennes, SATIE UMR CNRS 8029, CSEE, Ave Robert Schuman, F-35170 Bruz, France

[2] Ecole Normale Super Rennes, Dept Mechatron, Ave Robert Schuman, F-35170 Bruz, France

[3] Univ Rennes 1, IETR UMR CNRS 6164, OASIS, Ave Gen Leclerc, F-35042 Rennes, France

[4] Fac Sport Sci, Movement Sport & Hlth Lab, EA 1274, F-35000 Rennes, France

来源：

JOURNAL OF ENGINEERING-JOE | 2022年 / 2022卷 / 05期

关键词：

ERRORS;

D O I：

10.1049/tje2.12137

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Movement data from athletes are useful to quantify performance or more specifically the workload. Inertial measurement units (IMUs) are useful sensors to quantify body movements. Sensor placement on human body is still an open question that this paper focuses on. A method that develops synthesized inertial data is proposed for determining optimal sensors placement. Comparison between virtual and real inertial data is achieved. Training motion recognition algorithm on synthesized and real inertial data exhibits less than 7% difference. This method highlights the ability of the numerical model to determine relevant sensor placement of IMUs on human body for motion recognition algorithm using virtual sensors.

引用

页码：536 / 543

页数：8

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