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Special Issue "Recent Trends in Embedded Technologies and Wearable Systems: Artificial Intelligence Solutions"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 28 February 2021.

Special Issue Editor

Dr. Sang-Woong Lee
Website
Guest Editor
Department of Software, Gachon University, Seongnam, GyeonGi-Do, Korea
Interests: Deep Learning, Computer Vision, Image Processing, Brain Science, Pattern Recognition

Special Issue Information

Dear Colleagues,

With the rapid advancement in presence of real-time control for embedded systems and wearable systems, Artificial Intelligence (AI) approaches have played a crucial role in many applications. Today’s embedded technologies and wearable systems are becoming even more intimate and control to human lives. As with any technology there are number of challenges encircling the use of wearable and embedded technology such as security and privacy, energy consumption, application development platform and human-computer interaction. Further, latest advancement in health monitoring and other related applications, we expect that it is timely and important to reveal the extent to which embedded and wearable system developments in AI might be offer a paradigm shift in this context. This special issue will bring together the recent trends in AI focusing real-world applications for next generation embedded and wearable technologies, to address the problem of how to handle the uncertainty (e.g., noisy sensors) with probabilistic, machine learning and adaption methodologies.  The AI branches that is not limited to expert systems, artificial immune system, swarm intelligence, fuzzy system, (deep) neural network, evolutionary computing and various hybrid systems, which are combinations of two or more of the branches.

The main idea of this special issue is to explore the capabilities of AI methods and significant impact towards embedded and wearable systems. Moreover, this special issue is to address comprehensive nature of embedded wearable computing systems and to emphasize the character of AI in modelling, identification, optimization, prediction, forecasting, and control of future generative systems. Thus, this special issue solicits state-of-the-art research findings from both academia and industry, with a particular emphasis on novel techniques to ensure the impact of AI in wearable embedded technologies and its related applications. Proposed submissions should be original, unpublished, and present novel in-depth fundamental research contributions either from a methodological/application perspective in accomplishing embedded wearable systems for society.

The topics relevant to this special issue include the following:

 

  • Artificial intelligence solutions (data fusion, association, classification)
  • Challenges to data analysis arising from the miniature size of sensors and supporting electronics, such as data power levels and artefacts
  • Access control for wearable systems
  • Adaptive and Hybrid AI systems for wearable computing systems
  • Fully integrated ultra-wearable sensing platform
  • Privacy and security challenges in wearable embedded systems
  • Multimodal sensors - next generation space-saving and unobtrusive solutions
  • Wearable embedded technologies and its applications (examples: auditory and visual brain computer interfaces, fatigue, sleep physiological stress and etc)
  • Energy harvesting and management for pervasive sensing
  • Specification, Validation and Verification of Wearable Embedded System and Software
  • Datasets, measurement and performance evaluation
  • Signal processing solutions for wearable physiological sensing (data conditioning,
  • detection, estimation)
  • Deep learning methods for inferring health-related information

Papers must be tailored to the emerging fields of AI paradigms in embedded wearable computing systems and explicitly consider the recent deployments models, challenges, and novel solutions. The guest editors maintain the right to reject papers they deem to be out of scope of this special issue. Only originally unpublished contributions and invited articles will be considered for the issue. The papers should be formatted according to the journal guidelines.

Dr. Sang-Woong Lee
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • intelligent embedded system
  • AI solutions
  • inferring health-related information
  • wearable physiological sensing

Published Papers

This special issue is now open for submission.
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