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IoT of Health 2016 : FIRST WORKSHOP ON IOT-ENABLED HEALTHCARE AND WELLNESS TECHNOLOGIES AND SYSTEMS

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Link: https://icity.smu.edu.sg/IoT-of-Health
 
When Jun 26, 2016 - Jun 26, 2016
Where Singapore
Submission Deadline Mar 20, 2016
Notification Due Apr 20, 2016
Final Version Due May 1, 2016
Categories    computer science   health   wellness   internet of things
 

Call For Papers

The paradigm of consumer-centric healthcare and wellness solutions is steadily shifting towards the ability to provide healthcare as a service, whereby the health and wellness information of a person can be seamlessly integrated into various everyday activities. The multitude of sensors that surround us in the form of smartphones, wearable devices, and infrastructure (workstation devices, WiFi, iBeacon, etc.) are core enablers of this paradigm shift, and allows fine-grained sensing and inference of the user’s context, physiological attributes, and needs. Such sensing and detection, in tandem with intelligent intervention and persuasion techniques provide a compelling closed-loop healthcare technology for consumers. This technology need not be confined to a single application or a device, and in fact must be a part of the cyber-physical ecosystem that surrounds the user, thus realizing the “IoT of health” vision.

Internet of things (IoT) enabled healthcare segment is expected to hit $117 billion by 2020. This workshop focuses on bringing to the fore the key research challenges, systems, devices, and methods to enable the “IoT of Health” vision. The workshop will include discussions on different perspectives emerging from designing low-level sensors/devices, inference/analytics on sensing data, along with intelligent persuasive interventions/feedback techniques. Also, the workshop will have an active participation from clinicians, behavioral scientists, systems researchers, as well as entrepreneurs.

We solicit novel, innovative, and exciting work in the following areas (but not limited to):

• Telemedicine and mHealth solutions
• Mobile systems/applications for physiological measurements in Unconstrained Environments
• Fine-grained Activity Recognition from smartphone or smart watches or combination thereof
• Multi-modal Sensing and Fusion from heterogeneous data sources
• Physiological models for interpreting and predicting from medical sensor data
• Chronic disease and health risk management applications/systems
• Persuasion Techniques to Induce Positive Behavior Changes
• Next generation healthcare information systems architectures
• Real-world deployment experiences of healthcare systems/technology
• Systems Usability and Human Factors
• Health lifestyle and wellness support
• IoT, medical devices and body area networks
• Systems and techniques for Patient Engagement
• Security and Privacy in IoT-enable healthcare systems

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