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Topical Collection "Inertial Sensor and Application"
Interests: attitude and motion estimation using inertial and vision sensors; personal navigation systems
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
Special Issue in Information: Human Activity Recognition and Movement Analysis on Smartphones and Personal Devices
Special Issue in Sensors: Inertial Sensors for Activity Recognition and Classification
Special Issue in Sensors: Sensor Techniques and Methods for Movement Analysis
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
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