Overview:Challenges and Trends in Multimodal Fall Detection for Healthcare - Studies in Systems, Decision and Control 273 - 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.

This book is on page /0fb06c92acf561788291222b8bb2eff7/book/1603725653-9783030387471. It was written by the following authors: Jorge Brieva, Hiram Ponce, Lourdes Martinez-Villasenor, Ernesto Moya-Albor. Book Challenges and Trends in Multimodal Fall Detection for Healthcare - Studies in Systems, Decision and Control 273, which can be read online, published by the company: Springer Nature Switzerland AG. Other books on similar topics can be found in sections: Medicine, Science, Technology, Internet, Computing, Sports Books. The book was published on 2020-01-29 00:00:00. It has 259 pages and is published in Hardback format and weight 582 g. File for download Challenges and Trends in Multimodal Fall Detection for Healthcare - Studies in Systems, Decision and Control 273 has PDF format and is called challenges-and-trends-in-multimodal-fall-detection-for-healthcare-studies-in-systems-decision-and-control-273.pdf. Other books you can download below. Our poumm.fr site is not responsible for the content of PDF files.


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