IoT Technologies for HealthCare: 9th EAI International Conference, HealthyIoT 2022, Braga, Portugal, November 16-18, 2022, Proceedings

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