Wearable Internet of Things (wIoT) together with deep learning is revolutionizing the smart health and wellbeing applications. Predominantly IoT devices are good at acquiring medical data and later sending it cloud. Edge-based deep learning infuse intelligence in terms of processing, analysis and inference on edge near wearables. Edge deep learning not only offload the cloud but also ensure high-throughput, low-latency solutions.

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Our paper, “Energy-efficient and Reliable Wearable Internet-of-Things through Fog-Assisted Dynamic Goal Management”, authored and presented by Arman Anzanpour, received the best paper award at the 10th International Conference on Ambient Systems, Networks and Technologies (ANT-2019), Leuven, Belgium. The abstract of the paper is available in the rest of this post.

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Preterm birth (PTB) is the most common cause of neonatal deaths. Due to the high rate of PTBs (15M/y), it is extremely beneficial to identify the women at risk at early stage and prevent PTB. Physiological parameters could help us to uncover and model multifactorial processes that lead to PTB. Continuous monitoring of such parameters […]

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The interaction between technology and healthcare has a long history. However, the rapid growth of mobile and wireless technologies, Internet of Things (IoT) and Big Data, as well as the public embracement of miniature wearable biosensors have generated new opportunities for personalized healthcare services. The advantages of these services include the availability and accessibility, ability to personalize […]

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Quality of Experience (QoE) is a key metric for successful delivery of end-user services for IoT-enabled applications. Achieving consistent end-user QoE poses tremendous challenges in the face of resource constraints and dynamic variations at multiple scales of the IoT system stack: at the application, network, resource, and device levels. This proposal outlines a self-aware cognitive […]

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Two Internship positions are available in the Department of Future Technologies / Embedded Electronics: Internship position 1: Medical data analytics and IoT Required basic skills: MATLAB or programming skills (Python), knowledge in digital signal processing, machine learning and pattern recognition. Job description: Internet of Things enabled healthcare provides connection between things (i.e., wearable and environmental […]

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We are arranging a special issue in FGCS: Special Issue on Internet-of-Things and Big Data for Smarter Healthcare: From Device to Architecture, Applications and Analytics http://www.journals.elsevier.com/future-generation-computer-systems/call-for-papers/special-issue-on-internet-of-things-and-big-data-for-smarter/   The interaction between technology and healthcare has a long history. However, the rapid growth of Internet of Things (IoT) and Big Data, as well as the public embracement […]

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