All registered papers will be published by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

Authors of selected papers will be invited to submit an extended version to:

• Sensors Special Issue (IF: 3.031)

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Pervasive Health and Technology (Open Access) Scopus indexed

Additional publication opportunities:

• EAI/Springer Innovations in Communications and Computing Book Series

The works that will be presented at conference will focus on the following topics:

• Wearable devices and systems
• Printable and Flexible electronics
• mHealth and/or eHealth
• Personal Health Informatics
• Pervasive Health
• Wearable for Ambient Assist Living
• Smart Glass, wearable imaging, projection devices
• Earable devices
• Activity Monitoring and Devices
• Self-Tracking
• Healthcare Knowledge Representation & Reasoning
• Health Data acquisition, analysis and mining
• Validity, reliability, usability and effectiveness of Self-Tracking devices
• Social and Psychological investigation into Self-Tracking devices
• Health Monitoring in clinical and lifestyle environments
• Sensors and actuators for Wellness, Fitness and Rehabilitation
• Innovative Algorithms for assessment
• Life Coaching
• Medical Self-diagnostics
• Healthcare and edge computing
• Deep-learning for wearable signals analysis
• Ubiquitous Input Devices
• Wearable fashion
• Experiment Design

A variety of relevant health and fitness parameters are now being captured via an ecosystem of consumer-oriented wearable self-tracking devices, smartphone apps and related services. Techniques from information science, sociology, psychology, statistics, machine learning and data mining are applied to analyze collected data.

These techniques provide new opportunities to enrich the understanding of individual and population health. Self-tracking data can provide better measures of everyday behaviour and lifestyle and can complement more traditional clinical data collection, towards a comprehensive picture of health.

HealthWear will bring together researchers, developers, designer and industry professionals from both Healthcare community and University to discuss key issues, opportunities and obstacles for personal health data research. These include challenges of capturing, summarizing, presenting and retrieving relevant information from heterogeneous sources to support a new vision of pervasive personal healthcare.

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.