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Topical Collection "Inertial Sensor and Application"

A topical collection in Sensors (ISSN 1424-8220). This collection belongs to the section "Physical Sensors".

Editors

Dr. Young Soo Suh
E-Mail Website
Guest Editor
Department of Electrical Engineering, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan (44610), Korea
Interests: attitude and motion estimation using inertial and vision sensors; personal navigation systems
Dr. Angelo Maria Sabatini
E-Mail Website
Guest Editor
Scuola Superiore Sant'Anna di Studi Universitari e di Perfezionamento, Pisa, Italy
Interests: wearable sensor systems for human motion capture; magneto-inertial measurement units; computational methods for wearable sensor systems; multisensor fusion
Special Issues and Collections in MDPI journals

Topical Collection Information

Dear Colleagues,

In the past, inertial sensors had limited use, e.g., in military applications, since they are bulky and expensive. Mainly thanks to micro-electro-mechanical systems (MEMS) technology, inertial sensors are becoming smaller and cheaper. This is leading to the widespread use of inertial sensor to estimate attitude and motion in many fields, such as healthcare, sports, and entertainment. Since almost every person has a smartphone or a smartwatch which contain inertial sensors, the application of inertial sensors is expected to increase rapidly.

Regarding recent research on inertial sensors, classical filtering algorithms (which are used in missiles and satellites) have been successfully used for many applications such as attitude estimation of UAV, human gait analysis, sport motion estimation, and personal navigation systems. Then, new algorithms have been proposed to handle specific problems. Recently, machine learning-based algorithms have been increasingly used. Fusion with other sensors (in particular vision sensors) is also a hot research topic.

The aim of this Special Issue is to collect new research and developments in the field of inertial sensor-based algorithms and applications. We invite original contributions, so that current research trends can be presented in this collection. 

Dr. Young Soo Suh
Dr. Angelo Maria Sabatini
Guest Editors

Manuscript Submission Information

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Published Papers

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