<div dir="ltr"><We apologize for multiple posting. Please kindly disseminate this Call to your colleagues and contacts><div><br></div><div><h2 style="border:0px rgb(221,221,221);outline:0px;font-size:25px;vertical-align:baseline;background-image:initial;background-position:0px 0px;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0px 0px 18px;padding:0px;line-height:1.3;font-weight:400;font-family:Roboto;color:rgb(69,69,69)"><span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">EAI HealthWear 2021 - 3rd EAI International Conference on Wearables in Healthcare </span></h2><div><span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px"><b><font size="4">(<font color="#ff0000" style="">Virtual Conference</font>)</font></b></span></div><div><span style="color:rgb(69,69,69);font-family:Roboto;font-size:18px">November 26-27, 2021</span></div></div><div><br></div><div><br></div><div><p style="border:0px rgb(221,221,221);outline:0px;font-size:15px;vertical-align:baseline;background-image:initial;background-position:0px 0px;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0px 0px 20px;padding:0px;color:rgb(104,104,104);font-family:Roboto;text-align:justify">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 <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">data mining</span>, <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">machine learning</span>, <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">deep learning</span>, <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">statistics</span>, <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">information science</span>, <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">sociology</span>, and <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">psychology</span>. 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.</p><p style="border:0px rgb(221,221,221);outline:0px;font-size:15px;vertical-align:baseline;background-image:initial;background-position:0px 0px;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0px 0px 20px;padding:0px;color:rgb(104,104,104);font-family:Roboto;text-align:justify">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 <span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;font-weight:700">pervasive personal healthcare</span>.</p></div><div><h4 class="gmail-accordion-title" style="border:0px rgb(221,221,221);outline:0px;font-size:15px;vertical-align:baseline;background-image:initial;background-position:0px 0px;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0px;padding:0px;line-height:37px;font-family:Roboto;color:rgb(60,60,60)"><span style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px;overflow:hidden;display:block">Topics</span></h4><div class="gmail-accordion-content" style="border:0px rgb(221,221,221);outline:0px;font-size:15px;vertical-align:baseline;background-image:initial;background-position:0px 0px;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0px 0px 0px 62px;padding:18px 0px 0px;color:rgb(104,104,104);font-family:Roboto"><ul style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px 0px 20px 30px;padding:0px;list-style-position:initial"><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable devices and systems</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Printable and Flexible electronics</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">mHealth and/or eHealth</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Personal Health Informatics</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Pervasive Health</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable for Ambient Assist Living</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Smart Glass, wearable imaging, projection devices</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Earable devices</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Activity Monitoring and Devices</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Self-Tracking</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Healthcare Knowledge Representation & Reasoning</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Health Data acquisition, analysis and mining</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Validity, reliability, usability and effectiveness of Self-Tracking devices</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Social and Psychological investigation into Self-Tracking devices</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Health Monitoring in clinical and lifestyle environments</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Sensors and actuators for Wellness, Fitness and Rehabilitation</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Innovative Algorithms for assessment</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Life Coaching</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Medical Self-diagnostics</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Healthcare and edge computing</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Deep-learning for wearable signals analysis</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable technology in medicine and health care</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable technology for medical applications</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable systems for clinical and biomedical uses</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable sensor technology for health monitoring</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable sensor technology for rehabilitation</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable technology and preventative healthcare</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Health wearables and health tracking</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable medical devices for tele-home healthcare</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Clinical effectiveness of health wearables</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Privacy, security and consumer protection</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Ubiquitous Input Devices</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Wearable fashion</li><li style="border:0px rgb(221,221,221);outline:0px;vertical-align:baseline;background:0px 0px;margin:0px;padding:0px">Experiment Design</li></ul></div></div><br>Thank you.<br><br>Kindest Regards,<div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr" style="color:rgb(136,136,136)"><div dir="ltr" style="color:rgb(0,0,0)">-----------------------------------------------------------------------------------------------<br>Zahid Akhtar, PhD<br>-----------------------------------------------------------------------------------------------<br>Department of Network and Computer Security, <br>State University of New York Polytechnic Institute,<br>C135, Kunsela Hall, Utica, NY 13502, USA<br>Tel. +1 901 674 1371    <br></div><div dir="ltr" style="color:rgb(0,0,0)">E-mail: <a href="mailto:akhtarz@sunypoly.edu" target="_blank">akhtarz@sunypoly.edu</a>, <a href="mailto:zahid.eltc@gmail.com" target="_blank">zahid.eltc@gmail.com</a></div><div dir="ltr" style="color:rgb(0,0,0)">Webpage: <a href="https://sites.google.com/site/zahidakhtarhome/home" target="_blank">https://sites.google.com/site/zahidakhtarhome/home</a><br>-----------------------------------------------------------------------------------------------</div></div></div></div></div></div>