[visionlist] 3rd EAI International Conference on Wearables in Healthcare (Virtual)

[Zahid Akhtar]

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EAI HealthWear 2021 - 3rd EAI International Conference on Wearables in
Healthcare
*(Virtual Conference)*
November 26-27, 2021


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.
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
   - 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


Thank you.

Kindest Regards,
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Zahid Akhtar, PhD
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Department of Network and Computer Security,
State University of New York Polytechnic Institute,
C135, Kunsela Hall, Utica, NY 13502, USA
Tel. +1 901 674 1371
E-mail: akhtarz at sunypoly.edu, zahid.eltc at gmail.com
Webpage: https://sites.google.com/site/zahidakhtarhome/home
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