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Challenges and Trends in Multimodal Fall Detection for Healthcare

Edited by Hiram Ponce, Edited by Lourdes MartÃnez-VillaseÃ±or, Edited by Jorge Brieva, Edited by Ernesto Moya-Albor

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This book focuses on novel implementations of sensor technologies, artificial intelligence, machine learning, computer vision and statistics for automated, human fall recognition systems and related topics using data fusion. It includes theory and coding implementations to help readers quickly grasp the concepts and to highlight the applicability of this technology. For convenience, it is divided into two parts. The first part reviews the state of the art in human fall and activity recognition systems, while the second part describes a public dataset especially curated for multimodal fall detection. It also gathers contributions demonstrating the use of this dataset and showing examples.Â This book is useful for anyone who is interested in fall detection systems, as well as for those interested in solving challenging, signal recognition, vision and machine learning problems. Potential applications include health care, robotics, sports, humanâ€“machine interaction, among others.

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The Ballerina and the Bull: Anarchist Utopias in the Age of Finance

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Paperback / softback
288 pages
was: R 306.95
now: R 275.95
This title will take longer to obtain, and should be delivered in 6-8 weeks

Our moment has seen the resurgence of an anarchist sensibility, from the uprisings in Seattle in 1999 to the Occupy movement of 2011.

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Bonsai Success in Southern Africa

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Paperback / softback
160 pages
was: R 320.95
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Paperback / softback
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was: R 280.95
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