Emerging Deep Learning Applications of Short Range Radars

The book explores the emerging applications of artificial intelligence and deep learning in short-range radar, covering industrial, consumer, and automotive applications. It also discusses the underlying principles of deep learning, including neural networks and optimization algorithms. The book showcases advanced applications such as gesture recognition, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization, and in-cabin automotive occupancy.

\n Format: Hardback
\n Length: 358 pages
\n Publication date: 30 September 2020
\n Publisher: Artech House Publishers
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This captivating new resource delves into the emerging applications of artificial intelligence and deep learning in short-range radar. Spanning a wide range of industries, from consumer spaces to emerging automotive applications, the book showcases a multitude of human-machine interface (HMI) applications. These include gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization, and in-cabin automotive occupancy and smart trunk opening.

In addition to exploring the foundations of deep learning, the book delves into the history of neural networks and the optimization algorithms employed to train them. It introduces modern deep convolutional neural networks (DCNN), popular DCNN architectures for computer vision, and their key features. The book also presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN).

The application of human activity recognition and the utilization of air-writing through a network of short-range radars are outlined in detail. This book serves as a comprehensive demonstration and exploration of how deep learning is revolutionizing the field of short-range radar, enabling a multitude of advanced industrial, consumer, and in-cabin applications that were previously unattainable. It showcases a diverse range of advanced applications, their unique challenges, and the innovative solutions employed using various deep learning architectures and algorithms.

\n Weight: 686g\n
Dimension: 159 x 238 x 26 (mm)\n
ISBN-13: 9781630817466\n
Edition number: Unabridged ed\n