HealthWear 2016, the First EAI International Conference on Wearables in Healthcare, will take place in Budapest, Hungary on June 14-16,2016. It will be co-located with the eHealth360 Summit.
This conference will bring together researchers, developers, and industry professionals from both Healthcare and Quantified Self Communities to discuss key issues, opportunities and obstacles for personal health data research.
Here you can find some of the main topics of interest:
Personal Health Informatics
Quantified Self for Healthcare
Activity Monitors and Devices
Healthcare Knowledge Representation & Reasoning
Health Data acquisition, analysis and mining
Healthcare Information Systems
Furthermore, HealthWear 2016 will also host two illuminating keynote speakers: Cathal Gurrin (Dublin City University) with the speech “The Promise of Lifelonging as an Assistive Technology” and Hilary Pinnock (University of Edinburgh) with the speech “Telehealthcare for long-term conditions: hopes, hype and reality“.
All accepted papers will be published in Springer’s LNICST series and will appear in SpringerLink, one of the largest digital libraries online that covers a variety of scientific disciplines. The proceedings are submitted for inclusion to the leading indexing services: DBLP,Google Scholar,Thomson Scientific ISI Proceedings, EI Elsevier Engineering Index, CrossRef,Scopus and EU Digital Library (EUDL). Selected papers will be also invited for publication in the EAI Endorsed Transaction Pervasive Health and Technology.
Full Paper Submission deadline: 15th February, 2016 1st March, 2016
Notification deadline: 19th February 2016 18th March, 2016
Camera-ready deadline: 18th March 2016 29th April, 2016
What is the central topic of HealthWear 2016 and why is it important? What is this event’s vision?
The main focus of HealthWear’16 is on the use of wearables for healthcare. With more and more wearable devices and smartphone apps being released that are capable of unobtrusively recording various aspects of our life, we are currently witnessing the emergence of a new health trend. Followers of this trend rely on apps and devices to track their every-day activities and to gain insights into their personal well-being. In fact, technology research and advisory companies such as Gartner Inc. predict that in the near future, a vast majority of consumers will collect or track personal data. As welcome as this development might be from a health perspective, it also comes with certain risks, in particular, when consumers start to rely more on their data rather than on professional advice from their general practitioner. The conference’s vision is therefore to promote research in this field to advance our understanding of the opportunities and limitations of wearables for healthcare.
What have been the recent developments in wearables for healthcare? What are the biggest challenges that this area is currently facing?
The activity of recording personal bio signals and metrics using software and tools is also referred to as self-tracking. Self-trackers use instruments to record numerical data on all aspects of their lives: input (food consumed, surrounding air-quality), states (mood, arousal, blood oxygen levels), and performance (mental, physical), to name a few. Such self-monitoring and self-sensing, which combines wearable sensors and wearable computing, is also sometimes referred to as lifelogging, although lifelogging describes the process of recording and storing any type of personal data rather than gathering bio-metrics to track personal well-being.
In 2011, the European Union agency ENISA evaluated the risks, threats and vulnerabilities of lifelogging applications with respect to central topics such as privacy and trust issues. In their final report, they highlight that lifelogging itself is still in its infancy but nevertheless will play an important role in the near future.
From a technical point of view, one of the main challenges of self-tracking and lifelogging is the processing and analysis of heterogeneous sensor data. With recent advances in machine learning and artificial intelligence, we see novel approaches (e.g., Deep Learning techniques) emerge that can be applied to interpret users’ data, and to help users in adopting a healthier lifestyle.
What are your expectations for HealthWear 2016?
The aims of the conference are to engage researchers from Healthcare, Data Science and HCI communities to discuss key issues, opportunities and obstacles for personal health data research using wearable devices. These include challenges of capturing, summarising, presenting and retrieving relevant information from heterogeneous sources to support a new vision of pervasive personal healthcare. I hope that the conference can help to foster collaboration between the different communities and to showcase research that sits at the border between different areas of research. For me, the most important aim of HealthWear’16 is to provide a forum where researchers from different communities feel at home and exchange ideas for future research directions.