Challenges and Trends in Multimodal Fall Detection for Healthcare

Language: English

Published by Springer International Publishing Jan 2020, 2020

303038747X / 9783030387471

Series: Book 233 of 378 - Studies in Systems, Decision and Control

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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.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, human-machine interaction, among others. 276 pp. Englisch.

Seller Inventory # 9783030387471

Title
Challenges and Trends in Multimodal Fall Detection for Healthcare
Author
Hiram Ponce
Publisher
Springer International Publishing Jan 2020
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
303038747X
ISBN 13
9783030387471
Item weight
582 grams
Dimensions
241x160x21 mm
Series
Book 233 of 378: Studies in Systems, Decision and Control

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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First item£ 19.72£ 19.72
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BuchWeltWeit Ludwig Meier e.K.

Germany