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Author EAI International Conference on Body Area Networks (16th : 2021 : Online)

Title Body area networks : smart IoT and big data for intelligent health management : 16th EAI International Conference, BODYNETS 2021, Virtual event, October 25-26, 2021, Proceedings / Masood Ur Rehman, Ahmed Zoha (eds.)
Published Cham, Switzerland : Springer, 2022

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Description 1 online resource (x, 322 pages) : illustrations (some color)
Series Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-822X ; 420
Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 420. 1867-822X
Contents Intro -- Preface -- Conference Organization -- Contents -- Human Activity Recognition -- Data Fusion for Human Activity Recognition Based on RF Sensing and IMU Sensor -- 1 Introduction -- 2 Materials and Methods -- 2.1 IMU State Modeling -- 2.2 USRP State Modeling -- 3 The Proposed Structure Matrix to Data Fusion -- 3.1 Principal Component Analysis for Feature Extraction -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Indoor Activity Position and Direction Detection Using Software Defined Radios -- 1 Introduction -- 2 Materials and Methods -- 2.1 Technical Specifications
2.2 Experimental Design -- 3 Results and Discussion -- 3.1 Detection Accuracy vs. Activity Position -- 3.2 Detecting Position, Direction of Movement, and Occupancy -- 4 Conclusion -- References -- Monitoring Discrete Activities of Daily Living of Young and Older Adults Using 5.8GHz Frequency Modulated Continuous Wave Radar and ResNet Algorithm -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition -- 2.2 Classification Using Residual Neural Network -- 3 Results and Discussion -- 4 Conclusions and Future Work -- References
Elderly Care -- Human Activity Recognition Using Radar with an Open Dataset and Hybrid Maps -- 1 Introduction -- 1.1 Context -- 1.2 Current Research Progress -- 2 Methodology and Implementation -- 2.1 Dataset Information -- 2.2 Pre-processing -- 2.3 Feature Extraction and Classification -- 3 Results and Discussion -- 3.1 Hardware and Software Environment -- 3.2 Classification Results -- 3.3 Discussion -- 4 Conclusions and Future Work -- References -- Wireless Sensing for Human Activity Recognition Using USRP -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection
3.2 Machine Learning -- 4 Results and Discussion -- 4.1 Machine Learning Algorithms Comparison -- 4.2 Real Time Classification -- 4.3 Benchmark Dataset -- 5 Conclusion -- References -- Real-Time People Counting Using IR-UWB Radar -- 1 Introduction -- 2 Methodology -- 2.1 People Counting Algorithm -- 2.2 Experiment -- 3 Results -- 4 Conclusion -- References -- Bespoke Simulator for Human Activity Classification with Bistatic Radar -- 1 Introduction -- 2 Radar Simulation -- 3 Classification -- 3.1 Feature Extraction -- 3.2 Classification Algorithm -- 4 Classification Results
4.1 Monostatic Results -- 4.2 Bistatic Results -- 5 Discussion -- 5.1 Monostatic -- 5.2 Bistatic -- 6 Conclusion -- References -- Sensing for Healthcare -- Detecting Alzheimer's Disease Using Machine Learning Methods -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Machine Learning Methods -- 3.2 Deep Learning Methods -- 4 Experimental Results and Discussions -- 4.1 Discussion -- 5 Conclusion -- References -- FPGA-Based Realtime Detection of Freezing of Gait of Parkinson Patients -- 1 Introduction -- 2 Related Work -- 2.1 Overview of Recent Methods of Detecting FoG
Summary This book constitutes the refereed post-conference proceedings of the 16th International Conference on Body Area Networks, BodyNets 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic. The 21 papers presented were selected from 44 submissions and issue new technologies to provide trustable measuring and communications mechanisms from the data source to medical health databases. Wireless body area networks (WBAN) are one major element in this process. Not only on-body devices but also technologies providing information from inside a body are in the focus of this conference. Dependable communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective
Notes Includes author index
Online resource; title from PDF title page (SpringerLink, viewed February 17, 2022)
Subject Body area networks (Electronics) -- Congresses
Body area networks (Electronics)
Genre/Form Conference papers and proceedings.
Form Electronic book
Author Ur-Rehman, Masood, editor.
Zoha, Ahmed, editor.
ISBN 9783030955939
3030955931
Other Titles BODYNETS 2021