11171nam 2200541 450 99646453490331620220929161342.03-030-95593-1(MiAaPQ)EBC6887014(Au-PeEL)EBL6887014(CKB)21167561400041(PPN)260826804(EXLCZ)992116756140004120220929d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBody area networks - smart IoT and big data for intelligent health 16th EAI International Conference, BODYNETS 2021, virtual event, October 25-26, 2021 /Masood Ur-Rehman, Ahmed Zoha, editorsCham, Switzerland :Springer,[2022]©20221 online resource (325 pages)Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;Volume 420Print version: Ur Rehman, Masood Body Area Networks. Smart IoT and Big Data for Intelligent Health Management Cham : Springer International Publishing AG,c2022 9783030955922 Includes bibliographical references and index.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 -- 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.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 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.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.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 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.Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ;Volume 420.BioinformaticsCongressesBiosensorsCongressesBody area networks (Electronics)BioinformaticsBiosensorsBody area networks (Electronics)572.80285Ur-Rehman MasoodZoha AhmedMiAaPQMiAaPQMiAaPQBOOK996464534903316Body area networks - smart IoT and big data for intelligent health2918861UNISA