Special Issue "Frontiers in Wearable Devices"

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and innovation in Design, Modeling and Computing Methods".

Deadline for manuscript submissions: closed (31 May 2018)

Special Issue Editors

Guest Editor
Dr. Alexandros Tzallas

School of Applied Technology, Department of Computer Engineering, Technological Educational Institute of Epirus, Kostakioi, GR-47100, Arta, Greece
Website | E-Mail
Interests: biomedical signal and image processing; EEG; wearable devices; computational intelligence; data modelling and decision support systems; biomedical engineering; medical physics
Guest Editor
Dr. Markos Tsipouras

School of Applied Technology, Department of Computer Engineering, Technological Educational Institute of Epirus, Kostakioi, GR-47100, Arta, Greece
Website | E-Mail

Special Issue Information

Dear Colleagues,

We would like to cordially invite you to participate in a Special Issue on “Wearable Devices”. This Special Issue shall focus on algorithms, methodologies and applications of wearable devices in biomedical, health and wellness related topics. Potential topics to this Special Issue may include, but are not limited to:

  • Wearables devices for biomedical applications.
  • Wearable sensor signal processing/fusion algorithms.
  • Wearable applications for health and wellness.
  • Automated health related assessment based on wearable technology.
  • Internet of things for remote healthcare and health monitoring using wearable devices.
  • Privacy and Security in Internet of Things and Wearable Devices.
  • Cloud computing for wearable devices.

Tentative authors are invited to submit unpublished research, review or short communications articles. The submitted articles should include novel applied research, pilot, targeting in specific medical/health issues.

Dr. Alexandros Tzallas
Dr. Markos Tsipouras
Guest Editors

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. Inventions is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. 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

  • Wearable sensors
  • Signal processing and data fusion
  • Smart textiles and material
  • Internet of things
  • Wearable cloud computing
  • Remote health monitoring
  • Body sensor networks
  • Pervasive computing
  • Mobile devices and applications
  • Personal health and wellbeing
  • Intelligent systems and machine learning algorithms

Published Papers (6 papers)

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Research

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Open AccessArticle
Direct Assessment of Alcohol Consumption in Mental State Using Brain Computer Interfaces and Grammatical Evolution
Received: 17 July 2018 / Accepted: 25 July 2018 / Published: 27 July 2018
Cited by 1 | PDF Full-text (1743 KB) | HTML Full-text | XML Full-text
Abstract
Alcohol consumption affects the function of the brain and long-term excessive alcohol intake can lead to severe brain disorders. Wearable electroencephalogram (EEG) recording devices combined with Brain Computer Interface (BCI) software may serve as a tool for alcohol-related brain wave assessment. In this [...] Read more.
Alcohol consumption affects the function of the brain and long-term excessive alcohol intake can lead to severe brain disorders. Wearable electroencephalogram (EEG) recording devices combined with Brain Computer Interface (BCI) software may serve as a tool for alcohol-related brain wave assessment. In this paper, a method for mental state assessment from alcohol-related EEG recordings is proposed. EEG recordings are acquired with the Emotiv EPOC+, after consumption of three separate doses of alcohol. Data from the four stages (alcohol-free and three levels of doses) are processed using the OpenViBE platform. Spectral and statistical features are calculated, and Grammatical Evolution is employed for discrimination across four classes. Obtained results in terms of accuracy reached high levels (89.95%), which renders the proposed approach suitable for direct assessment of the driver’s mental state for road safety and accident avoidance in a potential in-vehicle smart system. Full article
(This article belongs to the Special Issue Frontiers in Wearable Devices)
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Open AccessArticle
Personalized UV Radiation Risk Monitoring Using Wearable Devices and Fuzzy Modeling
Received: 26 March 2018 / Revised: 17 April 2018 / Accepted: 18 April 2018 / Published: 20 April 2018
Cited by 1 | PDF Full-text (2158 KB) | HTML Full-text | XML Full-text
Abstract
This paper presents a solution for monitoring of solar ultraviolet (UV) exposure and alerting about risks in real time. The novel system provides smart personalized indications for solar radiation protection. The system consists of a sensing device and a mobile application. The sensing [...] Read more.
This paper presents a solution for monitoring of solar ultraviolet (UV) exposure and alerting about risks in real time. The novel system provides smart personalized indications for solar radiation protection. The system consists of a sensing device and a mobile application. The sensing device monitors solar radiation in real time and transmits the values wirelessly to a smart device, in which the mobile application is installed. Then, the mobile application processes the values from the sensory apparatus, based on a fuzzy expert system (FES) created from personal information (hair and eye color, tanning and burning frequency), which are entered by the user answering a short questionnaire. The FES provides an estimation of the recommended time of safe exposure in direct sunlight. The proposed system is designed to be portable (a wearable sensing device and smartphone) and low cost, while supporting multiple users. Full article
(This article belongs to the Special Issue Frontiers in Wearable Devices)
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Open AccessArticle
Monitoring Quality-of-Life Parameters in Wearable Environments
Received: 9 February 2018 / Revised: 27 February 2018 / Accepted: 5 March 2018 / Published: 11 March 2018
Cited by 1 | PDF Full-text (2703 KB) | HTML Full-text | XML Full-text
Abstract
The paper presents a new cross-layer bridge protocol between IEEE 802.15.4, IEEE 11073 and IEEE 802.11 for wearable-enabled health-data aggregation formations. The protocol addresses the new reality as imposed by the recent evolution of sensors and networking in situations where backbone infrastructure is [...] Read more.
The paper presents a new cross-layer bridge protocol between IEEE 802.15.4, IEEE 11073 and IEEE 802.11 for wearable-enabled health-data aggregation formations. The protocol addresses the new reality as imposed by the recent evolution of sensors and networking in situations where backbone infrastructure is experiencing congestion. We discuss real-life application scenarios of nimble-network formations. The main novelty of the proposed algorithm is that it defines presence as a new way of routing. Full article
(This article belongs to the Special Issue Frontiers in Wearable Devices)
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Open AccessArticle
Wearable E-Textile Technologies: A Review on Sensors, Actuators and Control Elements
Received: 26 December 2017 / Revised: 25 February 2018 / Accepted: 2 March 2018 / Published: 6 March 2018
Cited by 10 | PDF Full-text (1151 KB) | HTML Full-text | XML Full-text
Abstract
Wearable e-textiles are able to perform electronic functions and are perceived as a way to add features into common wearable textiles, building competitive market advantages. The e-textile production has become not only a research effort but also an industrial production challenge. It is [...] Read more.
Wearable e-textiles are able to perform electronic functions and are perceived as a way to add features into common wearable textiles, building competitive market advantages. The e-textile production has become not only a research effort but also an industrial production challenge. It is important to know how to use existing industrial processes or to develop new ones that are able to scale up production, ensuring the behavior and performance of prototypes. Despite the technical challenges, there are already some examples of wearable e-textiles where sensors, actuators, and production techniques were used to seamlessly embed electronic features into traditional wearable textiles, which allow for daily use without a bionic stigma. Full article
(This article belongs to the Special Issue Frontiers in Wearable Devices)
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Open AccessArticle
Activity-Aware Physiological Response Prediction Using Wearable Sensors
Received: 1 November 2017 / Revised: 11 November 2017 / Accepted: 16 November 2017 / Published: 21 November 2017
Cited by 2 | PDF Full-text (7464 KB) | HTML Full-text | XML Full-text
Abstract
Prediction of physiological responses can have a number of applications in the health and medical fields. However, this can be a challenging task due to interdependencies between these responses, physical activities, environmental factors and the individual’s mental state. In this work, we focus [...] Read more.
Prediction of physiological responses can have a number of applications in the health and medical fields. However, this can be a challenging task due to interdependencies between these responses, physical activities, environmental factors and the individual’s mental state. In this work, we focus on forecasting physiological responses in dynamic scenarios where individuals are performing exercises and complex activities of daily life. We minimize the effect of environmental and physiological factors in order to focus on the effect of physical activities. In particular, we focus on forecasting heart rate and respiratory rate due to their relevance in medical and fitness training. We aim to forecast these physiological responses up to 60 s into the future, study the effect of different predictors that incorporate different sensing modalities and different amounts of historical data and analyze the performance of various strategies for prediction. Activity information is incorporated by clustering the data streams and fitting different predictive models per cluster. The effect of clustering is also studied by performing a hierarchical analysis on the clustering parameter, and we observe that activity clustering does improve the performance in our proposed methodology when predicting physiological response across modalities. Full article
(This article belongs to the Special Issue Frontiers in Wearable Devices)
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Review

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Open AccessReview
A Survey on the Affordances of “Hearables”
Received: 29 May 2018 / Revised: 9 July 2018 / Accepted: 10 July 2018 / Published: 14 July 2018
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Abstract
Recent developments pertaining to ear-mounted wearable computer interfaces (i.e., “hearables”) offer a number of distinct affordances over other wearable devices in ambient and ubiquitous computing systems. This paper provides a survey of hearables and the possibilities that they offer as computer interfaces. Thereafter, [...] Read more.
Recent developments pertaining to ear-mounted wearable computer interfaces (i.e., “hearables”) offer a number of distinct affordances over other wearable devices in ambient and ubiquitous computing systems. This paper provides a survey of hearables and the possibilities that they offer as computer interfaces. Thereafter, these affordances are examined with respect to other wearable interfaces. Finally, several historical trends are noted within this domain, and multiple paths for future development are offered. Full article
(This article belongs to the Special Issue Frontiers in Wearable Devices)
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