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[null,null,"Titolo",null,"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 / / edited by Masood Ur Rehman, Ahmed Zoha"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"3-030-95593-1"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (325 pages)"]
[null,null,"Collana",null,"Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, , 1867-822X ; ; 420"]
[null,null,"Disciplina",null,"572.80285"]
[{"$nulls":4},"610.285468"]
[null,null,"Soggetti",null,"Medical informatics"]
[{"$nulls":4},"Computer science - Mathematics"]
[{"$nulls":4},"Computer networks"]
[{"$nulls":4},"Computer systems"]
[{"$nulls":4},"Health Informatics"]
[{"$nulls":4},"Mathematics of Computing"]
[{"$nulls":4},"Computer Communication Networks"]
[{"$nulls":4},"Computer System Implementation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"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 "]
[{"$nulls":4},"ResNet Algorithm -- 1 Introduction -- 2 Methodology -- 2.1 Data Acquisition -- 2.2 Classification Using Residual Neural Network -- 3 Results and Discussion -- 4 Conclusions and Future Work -- References -- Elderly Care - Human Activity Recognition Using Radar with an Open Dataset and Hybrid Maps -- 1 Introduction -- 1.1 Context -- 1.2 Current Research Progress -- 2 Methodology and Implementation -- 2.1 Dataset Information -- 2.2 Pre-processing -- 2.3 Feature Extraction and Classification -- 3 Results and Discussion -- 3.1 Hardware and Software Environment -- 3.2 Classification Results -- 3.3 Discussion -- 4 Conclusions and Future Work -- References -- Wireless Sensing for Human Activity Recognition Using USRP -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Machine Learning -- 4 Results and Discussion -- 4.1 Machine Learning Algorithms Comparison -- 4.2 Real Time Classification -- 4.3 Benchmark Dataset."]
[{"$nulls":4},"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 -- 2.2 Requirements of FoG Detection Methods for Wearable Devices -- 2.3 Field Programmable Gate Arrays (FPGAs) for Inference of Neural Networks -- 3 Methods -- 3.1 VitisAI to Run Neural Networks on FPGA -- 3.2 Hardware-Aware Implementation of a Temporal Convolutional Network for FoG Detection -- 4 Experiments -- 4.1 Dataset Description -- 4.2 Performance Evaluation -- 4.3 Hardware Platform Details -- 5 Conclusions -- References -- Received WiFi Signal Strength Monitoring for Contactless Body Temperature Classification -- 1 Introduction -- 2 Related Work -- 2.1 WiFi for Localization -- 2.2 RF Monitoring of Human Vital Signs and Activity -- 2.3 Temperature Studies on Wireless Network -- 2.4 Temperature Sensing Technology -- 3 Approach Overview -- 4 Experimental Set-Up -- 5 Experiments -- 5.1 Water Bowl Experiments -- 5.2 Submerged Water Bowl Experiments."]
[{"$nulls":4},"5.3 Hand Experiments -- 5.4 Hand Temperature Classification -- 6 Conclusion -- References -- A Preliminary Study of RF Propagation for High Data Rate Brain Telemetry -- 1 Introduction -- 2 Simulation Environment and Antenna Models -- 2.1 Simulation Model -- 2.2 Mini-horn Antenna -- 2.3 Implant Antenna -- 3 Simulation Results -- 3.1 Power Flow Results for the On-Body Antenna Location 1 -- 3.2 Channel Attenuation for the On-Body Antenna Location 1 -- 3.3 Power Flow Results for the On-Body Antenna Location 2 -- 4 Conclusions and Future Work -- References -- Anomalous Pattern Recognition in Vital Health Signals via Multimodal Fusion -- 1 Introduction -- 2 Related Works -- 2.1 Health Anomalous Pattern Recognition -- 2.2 Vital Signal Sensing Modality -- 3 Methodology -- 3.1 Signal Preprocessing -- 3.2 Multimodal Feature Extraction -- 3.3 Anomalous Pattern Recognition -- 4 Experiments -- 4.1 Dataset -- 4.2 Prototype "]
[{"$nulls":4},"Implementation: VitalChair -- 4.3 Performance Evaluation -- 4.4 Comparative Study -- 5 Conclusion -- References -- Real-Time Visual Respiration Tracking with Radar Sensors -- 1 Introduction -- 2 Methods -- 2.1 Sensor System -- 2.2 Sensor Overview -- 2.3 Experimental Protocol -- 2.4 Signal Processing -- 3 Results and Discussion -- 4 Conclusion -- References -- Body-Area Sensing in Maternity Care: Evaluation of Commercial Wristbands for Pre-birth Stress Management -- 1 Introduction -- 2 Stress Reduction Project Vision -- 3 Technological View on Body Sensing with Wristbands -- 3.1 Data Architecture -- 3.2 Other Requirements for Wearables -- 3.3 Considerations in the Area of Software Engineering -- 4 Evaluation of Commercial Wristbands -- 4.1 Technical Qualities, Sensors and Reliability -- 4.2 Ease of Integration -- 4.3 Data Protection and Data Sharing -- 5 Conclusion -- References."]
[{"$nulls":4},"Home-Based Pulmonary Rehabilitation of COPD Individuals Using the Wearable Respeck Monitor -- 1 Introduction -- 2 Related Work -- 3 Pulmonary Rehabilitation System -- 3.1 The Apps -- 4 The Design -- 5 Analysis and Results -- 5.1 CAT Score Prediction Using Exercise Data -- 6 Conclusion -- References -- Data Analytics for Healthcare Systems -- SVM Time Series Classification of Selected Gait Abnormalities -- 1 Introduction -- 2 Gait Data Collection -- 2.1 Data Collection of Simulated Gait Abnormalities -- 3 SVM Performance Assessment -- 4 Results -- 5 Discussion and Conclusion -- References -- Comparing the Performance of Different Classifiers for Posture Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Classifiers -- 4 Results and Discussion -- 5 Conclusion -- References -- Distance Estimation for Molecular Communication in Blood Vessel -- 1 Introduction -- 2 System Model -- 2.1 Model of Blood Velocity -- 2.2 System Model -- 3 Distance Estimation Scheme -- 3.1 Calculate T and -- 3.2 Distance Estimation -- 4 Simulation Results -- 5 Conclusion -- References -- Innovating the Future Healthcare Systems -- Opti-Speech-VMT: Implementation and Evaluation -- 1 Introduction -- 2 Related Work -- 3 Opti-Speech-VMT -- 3.1 General Features -- 3.2 Target Features -- 4 Measurement of Latency -- 4.1 Visual Feedback Task -- 4.2 Results -- 4.3 Conclusion -- 5 Future Work -- References -- A Systematic Study of the Influence of Various User Specific and Environmental Factors on Wearable Human Body Capacitance Sensing -- 1 Introduction -- 1.1 Paper Aims -- 1.2 Related Work -- 2 Sensing Approach -- 3 Exploration of HBC in a Static State -- 4 HBC in Real-Time and Dynamic State -- 4.1 HBC While Walking -- 4.2 Classification of Floor Surface Type -- 5 Other Potential Use Cases -- 5.1 Exact Step Counting -- 5.2 Gait Partitioning -- 5.3 Touch Sensing."]
[{"$nulls":4},"5.4 Respiration Monitoring -- 6 Conclusion -- References -- Software Design and Development of an Appointment Booking System: A Design Study -- 1 Introduction -- 2 Related Work -- 3 Design Process -- 3.1 Relationships in the Use Case (Design Decisions) -- 3.2 Class Diagram (Use STARUML) -- 3.3 Sequence Diagram (Use STARUML) -- 3.4 Program Prototype -- 4 Discussion -- 4.1 Critical Discussions: Software Development Life Cycle (SDLC) -- 4.2 Agile Methodology Within the Program Solution -- 4.3 A Critical Reflection: Professional, Security and Ethical Issues -- 5 Conclusion -- Appendix A -- Appendix B -- Appendix C -- References -- Robust Continuous User Authentication System Using Long Short Term Memory Network for Healthcare -- 1 Introduction -- 2 Background -- 3 System Methodology -- 3.1 Keystroke Sequence Sampling -- 3.2 System Model -- 4 Results and Discussion -- 4.1 Aggregated Results of Architecture 1: Per Frame Model -- 4.2 Aggregated Results of Architecture 2: Integrated Model -- 4.3 Discussion of Results for Architecture 1 and Architecture 2 -- 4.4 "]
[{"$nulls":4},"Results in Terms of EER -- 5 Conclusion -- References -- When Federated Learning Meets Vision: An Outlook on Opportunities and Challenges -- 1 Introduction -- 2 Preliminaries and Overview -- 2.1 Scale of Federation -- 2.2 Data Partitioning -- 3 Vision-Aided Applications Enabled by FL -- 3.1 Smart Heath-Care System -- 3.2 Smart Homes -- 3.3 Smart Cities -- 4 Challenges and Future Research -- 4.1 Privacy and Security -- 4.2 Data Heterogeneity -- 4.3 Asynchronous Aggregation Mechanism -- 4.4 Scale of Federation -- 4.5 Accountability and Incentive Mechanism -- 5 Conclusions -- References -- Author Index."]
[null,null,null,"Sommario/riassunto","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."]