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Robust Motion Recognition Based (7 results)
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Condition: New.
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Condition: New. Print on Demand.
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Condition: New. Print on Demand.
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Robust Motion Recognition Based on Sensor Technology
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 67.11
£ 5.87 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. PRINT ON DEMAND.
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Hardcover. Condition: new. Hardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
