Synthetized inertial measurement units (IMUs) to evaluate the placement of wearable sensors on human body for motion recognition - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue The Journal of Engineering Année : 2022

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

Résumé

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.
Fichier principal
Vignette du fichier
Hoareau - Synthetized inertial measurement units IMUs to evaluate the placement of.pdf (1.46 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03629738 , version 1 (18-01-2023)

Identifiants

Citer

Damien Hoareau, Gurvan Jodin, Pierre-Antoine Chantal, Sara Bretin, Jacques Prioux, et al.. Synthetized inertial measurement units (IMUs) to evaluate the placement of wearable sensors on human body for motion recognition. The Journal of Engineering, 2022, 2022 (5), pp.536-543. ⟨10.1049/tje2.12137⟩. ⟨hal-03629738⟩
101 Consultations
42 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More