Body Area Networks. Smart IoT and Big Data for Intelligent Health Management

Name: 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
Brand: Springer
Price: 53.49 EUR
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16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings

Masood Ur Rehman Ahmed Zoha(Herausgeber*in)

Springer (Verlag)

Erschienen am 10. Februar 2022

X, 322 Seiten

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978-3-030-95593-9 (ISBN)

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Inhalt

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

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