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Challenges and Trends in Multimodal Fall Detection for Healthcare

Challenges and Trends in Multimodal Fall Detection for Healthcare

Hardcover

Series: Studies in Systems, Decision and Control, Book 273

Technology & EngineeringSports General

ISBN10: 303038747X
ISBN13: 9783030387471
Publisher: Springer Nature
Published: Jan 29 2020
Pages: 259
Weight: 1.24
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
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.

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