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Challenges and Trends in Multimodal Fall Detection for Healthcare (Hardcover, 1st ed. 2020): Hiram Ponce, Lourdes... Challenges and Trends in Multimodal Fall Detection for Healthcare (Hardcover, 1st ed. 2020)
Hiram Ponce, Lourdes Martinez-Villasenor, Jorge Brieva, Ernesto Moya-Albor
R2,814 Discovery Miles 28 140 Ships in 10 - 15 working days

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.

Challenges and Trends in Multimodal Fall Detection for Healthcare (Paperback, 1st ed. 2020): Hiram Ponce, Lourdes... Challenges and Trends in Multimodal Fall Detection for Healthcare (Paperback, 1st ed. 2020)
Hiram Ponce, Lourdes Martinez-Villasenor, Jorge Brieva, Ernesto Moya-Albor
R2,789 Discovery Miles 27 890 Ships in 10 - 15 working days

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.

Processing and Analysis of Biomedical Information - First International SIPAIM Workshop, SaMBa 2018, Held in Conjunction with... Processing and Analysis of Biomedical Information - First International SIPAIM Workshop, SaMBa 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Revised Selected Papers (Paperback, 1st ed. 2019)
Natasha Lepore, Jorge Brieva, Eduardo Romero, Daniel Racoceanu, Leo Joskowicz
R1,469 Discovery Miles 14 690 Ships in 10 - 15 working days

This book constitutes the refereed proceedings of the First International SIPAIM Workshop on Processing and Analysis of Biomedical Information, SaMBa 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 14 full papers presented were carefully reviewed and selected for inclusion in this volume. The papers cover the following topics: Medical imaging, Digital pathology, E-health, and Motor analysis and biosignals. The purpose was to present success stories of science, research and innovation stemming from Latin American and to encourage the formation of international academic networks in biomed- ical research with a strong component in medical information processing.

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