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Article

Efficient Upper Limb Position Estimation Based on Angular Displacement Sensors for Wearable Devices

1
Centro de Automática y Robótica (CAR) UPM-CSIC, ETS Ingenieros Industriales, Universidad Politécnica de Madrid, Calle de José Gutiérrez Abascal, 2, 28006 Madrid, Spain
2
ETS Ingeniería y Diseño Industrial, Universidad Politécnica de Madrid, Ronda de Valencia, 3, 28012 Madrid, Spain
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6452; https://doi.org/10.3390/s20226452
Received: 9 October 2020 / Revised: 7 November 2020 / Accepted: 9 November 2020 / Published: 12 November 2020
(This article belongs to the Special Issue Sensor Systems for Gesture Recognition)
Motion tracking techniques have been extensively studied in recent years. However, capturing movements of the upper limbs is a challenging task. This document presents the estimation of arm orientation and elbow and wrist position using wearable flexible sensors (WFSs). A study was developed to obtain the highest range of motion (ROM) of the shoulder with as few sensors as possible, and a method for estimating arm length and a calibration procedure was proposed. Performance was verified by comparing measurement of the shoulder joint angles obtained from commercial two-axis soft angular displacement sensors (sADS) from Bend Labs and from the ground truth system (GTS) OptiTrack. The global root-mean-square error (RMSE) for the shoulder angle is 2.93 degrees and 37.5 mm for the position estimation of the wrist in cyclical movements; this measure of RMSE was improved to 13.6 mm by implementing a gesture classifier. View Full-Text
Keywords: motion capture; soft angular displacement sensors; upper limb; motion tracking; wearable sensors motion capture; soft angular displacement sensors; upper limb; motion tracking; wearable sensors
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MDPI and ACS Style

Contreras-González, A.-F.; Ferre, M.; Sánchez-Urán, M.Á.; Sáez-Sáez, F.J.; Blaya Haro, F. Efficient Upper Limb Position Estimation Based on Angular Displacement Sensors for Wearable Devices. Sensors 2020, 20, 6452. https://doi.org/10.3390/s20226452

AMA Style

Contreras-González A-F, Ferre M, Sánchez-Urán MÁ, Sáez-Sáez FJ, Blaya Haro F. Efficient Upper Limb Position Estimation Based on Angular Displacement Sensors for Wearable Devices. Sensors. 2020; 20(22):6452. https://doi.org/10.3390/s20226452

Chicago/Turabian Style

Contreras-González, Aldo-Francisco, Manuel Ferre, Miguel Á. Sánchez-Urán, Francisco J. Sáez-Sáez, and Fernando Blaya Haro. 2020. "Efficient Upper Limb Position Estimation Based on Angular Displacement Sensors for Wearable Devices" Sensors 20, no. 22: 6452. https://doi.org/10.3390/s20226452

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