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.
Welcome to the EAI Community
Let the EAI Community help you build your career with collaborative research, objective evaluation, and fair recognition:
- Get more visibility for your paper and receive a fair review with Community Review,
- Earn credits regardless of your paper’s acceptance and increase your EAI Index for new membership ranks and global recognition,
- Find out if your research resonates – get real-time evaluation of your presentation on-site via EAI Compass.
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
- 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
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:
Additionally, selected papers will be considered to be included in one of EAI Transactions.
Community Review is a service offered to Program Committees and submitting Authors of all EAI conferences designed to improve the speed and the quality of the review process.
Abstracts of all authors who opt in to Community Review during submission will be published and available for Bidding here.
Regular Papers: 6 – 20
Short papers: 4 – 6
Previously published work may not be submitted, nor may the work be concurrently submitted to any other conference or journal. Such papers will be rejected without review.