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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The "Robust Motion Recognition Based on Sensor Technology" Special Issue aims to bring together recent research on motion recognition using sensor technology. Sensor-based motion recognition has become increasingly important in many domains, such as healthcare, sports, and robotics, as it enables the collection and analysis of accurate and reliable motion data. In fact, it is possible to model motion through different sensor technologies, including signals from inertial and physiological sensors embedded in wearables or smart devices, or images and video frames from cameras.
This Special Issue covers a wide range of topics, including signal processing techniques, architectures, learning algorithms, intelligent sensing systems, wearable sensors, machine/deep learning and artificial intelligence in sensing and imaging, and their application for motion modeling and recognition.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
The "Robust Motion Recognition Based on Sensor Technology" Special Issue aims to bring together recent research on motion recognition using sensor technology. Sensor-based motion recognition has become increasingly important in many domains, such as healthcare, sports, and robotics, as it enables the collection and analysis of accurate and reliable motion data. In fact, it is possible to model motion through different sensor technologies, including signals from inertial and physiological sensors embedded in wearables or smart devices, or images and video frames from cameras.
This Special Issue covers a wide range of topics, including signal processing techniques, architectures, learning algorithms, intelligent sensing systems, wearable sensors, machine/deep learning and artificial intelligence in sensing and imaging, and their application for motion modeling and recognition.