This book constitutes the refereed proceedings of the 16th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2022, which took place in Thessaloniki, Greece, in December 2022.
The 45 full papers included in this volume were carefully reviewed and selected from 120 submissions. The papers are organized in the following topical sections: personal informatics and wearable devices; computer vision; IoT-HR: Internet of things in health research; pervasive health for COVID-19; machine learning, human activity recognition and speech recognition; software frameworks and interoperability; facial recognition, gesture recognition and object detection; machine learning, predictive models and personalised healthcare; human-centred design of pervasive health solutions; personalized healthcare.
Personal Informatics and Wearable Devices: Robust Respiration Sensing
Based on Wi-Fi Beamforming.- Heart Rate During Sleep Measured Using Finger-,
Wristand Chest-Worn Devices: A Comparison Study.- A Low-Cost Wearable System
to Support Upper Limb Rehabilitation in Resource-Constrained
Settings.- Computer Vision: Multiclass Semantic Segmentation of Mediterranean
Food Images.- Comparative Study of Machine Learning Methods on Spectroscopy
Images for Blood Glucose Estimation.- Classification of Kidney Tumor grading
on Preoperative Computed Tomography Scan.- IoT-HR: Internet of Things in
Health Research: An IoT-based system for the study of neuropathic pain
in spinal cord injury.- IoT smart shoe solution for neuromuscular
disease monitoring.- Compliance and Usability of an Asthma Home
Monitoring System.- Assessing Older Adults Gait Speed with
Wearable Accelerometers in Community Settings: Validity and Reliability
Study.- Healthcare Based on IoT using Arduino, MPU6050 accelerometer and
gyroscope sensor and FSR-174 strain gauge for fatigue
assessment.- Smartphone-based strategy for Quality-of-Life monitoring in head
and neck cancer survivors.- Pervasive Health for COVID-19: COVID-19
Classification Algorithm based on Privacy Preserving Federated
Learning.- Flattening the Curve through Reinforcement Learning riven Test and
Trace Policies.- Connecting Self-reported COVID-19 Needs with
Social Determinants of Health.- Machine Learning, Human Activity Recognition
and Speech Recognition: Up-Sampling Active Learning: An Activity
Recognition Method for Parkinsons Disease Patients.- Your Day in Your
Pocket: Complex Activity Recognition from Smartphone
Accelerometers.- Research on Passive Assessment of Parkinsons
Disease Utilising Speech Biomarkers.- Millimeter Wave Radar Sensing
Technology for Filipino Sign Language Recognition.- Dehydration Scan: An
Artificial Intelligence Assisted Smartphone-based System for Early Detection
of Dehydration.- Software Frameworks and Interoperability: Experiencer: An
Open-source Context-Sensitive Wearable Experience Sampling Tool.- BONVITA:
Enabling integrated self-care for improving chronic patients
wellbeing.- Data Analytics For Health and Connected Care: Ontology, Knowledge
Graph and Applications.- Health data semantics: Exploring requirements for
sustainable health systems.- Facial Recognition, Gesture Recognition and
Object Detection.- A quantitative comparison of manual vs. automated
facial coding using real life observations of fathers.- Knowledge-Driven
Dialogue and Visual Perception for Smart OR.- MM4Drone: A Multi-Spectral
Image and MmWave Radar Approach for Identifying MosquitoBreeding Grounds
via Aerial Drones.- Machine Learning, Predictive Models and
Personalised Healthcare: Spatio-temporal Predictive Modeling for Placement of
Substance Use Disorder Treatment Facilities in the Midwestern U.S.- Linking
data collected from mobile phones with disease level in Parkinsons. Data
exploration of the mPower study.- An Exploratory Study of the Value of Vital
Signs on the Short-term Prediction of Subcutaneous Glucose Concentration in
Type 1 Diabetes The GlucoseML Study.- Less Is More: Leveraging Digital
Behavioral Markers for Real-Time Identification of Loneliness in
Resource-Limited Settings.- Toward Understanding Users Interactions with a
Mental Health App: An Association Rule Mining Approach.- Application of
Shapley Additive Explanation towards Determining Personalized Triage from
Health Checkup Data.- Human-Centred Design of Pervasive Health
Solutions: Dance Mat Fun - A Participatory Design of Exergames for Children
with Disabilities.- Designing hearing aids to mitigate perceived
stigma associated with hearing impairment.- Demands on User Interfaces for
People with Intellectual Disabilities, their Requirements, and
Adjustments.- A Rule Mining and Bayesian Network Analysis to Explore the Link
Between Depression and Digital Behavioral Markers of Games App
Usage.- mHealth for Medication and Side Effect Monitoring: Pa-tients
Attitudes Toward Smart Devices for Managing Oral Chemotherapy during Lung
Cancer Treatment.- Exploring the Design Space of Technological
Interventions for Menopause: A Systematic Review.- Personalized
Healthcare: Understanding barriers of missing data in Personal Informatics
Systems.- I have to do something about it - An Exploration of How
Dashboards Invoke Self-Reflections in Chronic Obstructive Pulmonary
DiseasePatients.- Design of a social chatbot with gamification for
user profiling and smoking trigger detection.- Specification of Quality of
Context Requirements for Digital Phenotyping Applications.- Patient Data Work
with Consumer Self-Tracking: Exploring Affective and Temporal Dimensions in
Chronic Self-Care.- Personalizing mHealth Persuasive Interventions
for Physical Activity_the Impact of Personality on the Determinants of
Physical Activity.
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