• 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
• Wearable technology in medicine and health care
• Wearable technology for medical applications
• Wearable systems for clinical and biomedical uses
• Wearable sensor technology for health monitoring
• Wearable sensor technology for rehabilitation
• Wearable technology and preventative healthcare
• Health wearables and health tracking
• Wearable medical devices for tele-home healthcare
• Clinical effectiveness of health wearables
• Privacy, security and consumer protection
• Ubiquitous Input Devices
• Wearable fashion
• Experiment Design

It is estimated that today globally there exist more than 9 million wearable and 22 billion smart mobile devices, which are expected to grow exponentially in the coming years. These wearable and smart mobile devices are widely being utilized to capture many health and fitness parameters for monitoring normal people, patients, and higher quality of life (QoL) for ageing citizens. The business ecosystem based on consumer oriented wearable self-tracking devices, smartphone apps and related services is being developed. Various methods have been devised to collect data as well as analyses using data mining, machine learning, deep learning, statistics, information science, sociology, and psychology. Such techniques provide new opportunities to enrich the understanding of individual and population health. Data from wearable devices provide better measures of everyday behaviour and lifestyle, can complement more traditional clinical data collection, and pandemic analyses for a finer and comprehensive picture of individual and public 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 and public 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.