Iot Technologies for Health Care : 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, proceedings

This book constitutes the refereed proceedings of the 9th EAI International Conference on IoT Technologies for HealthCare, HealthyIoT 2022, which was held in Braga, Portugal, in November 2022. The 11 full papers and 2 invited papers presented in this volume were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Analysis of Measurement Data in IoT Technologies for Health; and IoT Applications in Research and Clinical Practice. Preface Conference Organization Contents Analysis of Measurement Data in IoT Technologies for Health Automatic Wardrobe for Blind People 1 Introduction 2 Previous Work 3 System Overview 4 Hardware Architecture 4.1 Illumination 4.2 Prototype Design 5 Software Architecture 6 Preliminary Results 7 Conclusions and Future Work References Heart Rate Evaluation by Smartphone: An Overview 1 Introduction 2 Contact-Based Measurement Methods 3 Contactless Measurement Methods 4 Conclusions References A Low-Cost Open-Source Bionic Hand Controller: Preliminary Results and Perspectives 1 Introduction 2 Study of Mechanomyographic Alternatives to EMG Sensors 3 Electromyography with Novel Electrodes 4 Bionic Hand Controller 5 Platform with Integration of EMG and MMG Signals 5.1 Preliminary Tests 6 Discussion and Conclusions References Preliminary Study on Gender Identification by Electrocardiography Data 1 Introduction 2 Methods 2.1 Study Design and Participants 2.2 Feature Extraction 2.3 Description of the Method 3 Results 3.1 Data Acquisition 3.2 Results by Gender 4 Discussions and Conclusions References Exploiting Blood Volume Pulse and Skin Conductance for Driver Drowsiness Detection 1 Introduction 2 Materials and Methods 2.1 Experimental Setup and Acquisition Device 2.2 Data Acquisition Protocol 3 Data Processing 4 Results 5 Conclusions and Future Works References Skin Conductance Under Acoustic Stimulation: Analysis by a Portable Device 1 Introduction 2 Background 2.1 Commercial Portable Devices for SC Acquisition 3 Materials and Methods 3.1 Prototype Components 3.2 Data Collection Protocol 3.3 Data Processing 4 Results and Discussion 5 Conclusion References IoT Applications in Research and Clinical Practice Multivariate Classification of Mild and Moderate Hearing Loss Using a Speech-in-Noise Test for Hearing Screening at a Distance 1 Introduction 2 Methods 2.1 Participants and Procedure 2.2 Data Analysis 3 Results 4 Discussion 5 Conclusions References A Preliminary Prototype of Smart Healthcare Modular System for Cardiovascular Diseases Remote Monitoring 1 Introduction 2 Vital Parameters of Interest 3 General System Description 3.1 Data Acquisition Block 3.2 Data Collection Block 3.3 Backend PC Block 3.4 Employed Communication Protocol 3.5 Developed Software 3.6 MQTT Publisher-Broker Data Exchange and Connection (Publisher Side) 4 Algorithm for ECG Signal Manipulation and Peaks Detection: Preliminary Results 5 Conclusions References Gender Classification Using nonstandard ECG Signals - A Conceptual Framework of Implementation 1 Introduction 2 Data 2.1 ALLAB Dataset 2.2 CYBHi Dataset 3 Methodology 3.1 Data Preparation and Feature Extraction 3.2 Classifiers 3.3 Train and Leave-One-Dataset-Out Validation 4 Results 5 Discussion 6 Conclusion References Designing a Soft-Actuated Smart Garment for Postural Control and Fall Prevention in Elderly Women 1 Introduction 2 Method 2.1 Soft Posture Detection 2.2 Soft Actuation 2.3 Garment Design 3 Results 3.1 Experimental Analysis 3.2 The Pneumatic Actuators: Qualitative Experimental Analysis of the Tactile-Compressive Function 4 Conclusion References Cultivate Smart and Healthy Ageing 1 Introduction 2 Literature Review 2.1 Changes in Visual Function 2.2 Decline in Hearing 2.3 Sense of Touch, the Perception of Temperature, Mobility Limitation Levels, and Balance 2.4 Cognitive Aging and Age-Related Changes in Memory 3 Age-friendly, Integrated, Intergenerational Neighborhoods 4 Evaluation Results 5 Conclusion and Future Work References Application of KNN for Fall Detection on Qualcomm SoCs 1 Introduction 2 Architectural Models for IoT Based Fall Detection Systems with Wearable End Devices 3 Machine Learning 4 K Nearest Neighbor Classification Algorithm (KNN) 5 Dataset and Data Preparation 6 Results and Discussions 7 Summary and Conclusions References Assessment of Human Activity Classification Algorithms for IoT Devices*-4pt 1 Introduction 2 Materials and Methods 2.1 FMCW Radar 2.2 Overview of CNNs 2.3 VGG 2.4 InceptionV3 2.5 Residual Network (ResNet) 2.6 Xception 2.7 Optimizers 3 Proposed Methodology 4 Experiments and Results 5 Conclusions References Author Index