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E-book

Title Challenges and trends in multimodal fall detection for healthcare / Hiram Ponce, Lourdes Martínez-Villaseñor, Jorge Brieva, Ernesto Moya-Albor, editors
Published Cham : Springer, 2020

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Description 1 online resource (263 pages)
Series Studies in systems, decision and control ; volume 273
Studies in systems, decision and control ; v. 273.
Contents Challenges and Solutions on Human Fall Detection and Classification -- Open Source Implementation for Fall Classification and Fall Detection Systems -- Detecting Human Activities based on a Multimodal Sensor Data Set using a Bidirectional Long Short-Term Memory Model: A Case Study -- Approaching Fall Classification using the UP-Fall Detection Dataset: Analysis and Results from an International Competition -- Reviews and Trends on Multimodal Healthcare -- A Novel Approach for Human Fall Detection and Fall Risk Assessment
Summary 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
Bibliography Includes bibliographical references
Notes Print version record
Subject Biosensors.
Falls (Accidents) in old age.
Biomedical engineering.
Biosensing Techniques
biomedical engineering.
Biosensors
Falls (Accidents) in old age
Form Electronic book
Author Ponce, Hiram, editor.
Martínez-Villaseñor, María de Lourdes, editor.
Brieva, Jorge, editor.
Moya-Albor, Ernesto, editor.
ISBN 9783030387488
3030387488
9783030387495
3030387496
9783030387501
303038750X
303038747X
9783030387471