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Cited by 361

The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.

Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion

Open access
Filippeschi, Alessandro, Schmitz, Norbert, Miezal, Markus, Bleser, Gabriele, Ruffaldi, Emanuele, Stricker, Didier·2017·Sensors

Abstract

Motion tracking based on commercial inertial measurements units (IMUs) has been widely studied in the latter years as it is a cost-effective enabling technology for those applications in which motion tracking based on optical technologies is unsuitable. This measurement method has a high impact in human performance assessment and human-robot interaction. IMU motion tracking systems are indeed self-contained and wearable, allowing for long-lasting tracking of the user motion in situated environments. After a survey on IMU-based human tracking, five techniques for motion reconstruction were selected and compared to reconstruct a human arm motion. IMU based estimation was matched against motion tracking based on the Vicon marker-based motion tracking system considered as ground truth. Results show that all but one of the selected models perform similarly (about 35 mm average position estimation error).

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Metadata

Authors
Filippeschi, A., Schmitz, N., Miezal, M., Bleser, G., Ruffaldi, E., & Stricker, D.
Venue
Sensors
Publisher
MDPI AG
Published
2017-06-01
Volume
17
Issue
6
Pages
1257
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2618272117
Cited by
361
References
94
FWCI
34.99
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion. https://app.cochat.ai/papers/10.3390/s17061257
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Filippeschi, A., Schmitz, N., Miezal, M., Bleser, G., Ruffaldi, E., & Stricker, D. (2017). Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion. Sensors. https://doi.org/10.3390/s17061257

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