scholarly journals Biosignal-Based Human–Machine Interfaces for Assistance and Rehabilitation: A Survey

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6863
Author(s):  
Daniele Esposito ◽  
Jessica Centracchio ◽  
Emilio Andreozzi ◽  
Gaetano D. Gargiulo ◽  
Ganesh R. Naik ◽  
...  
Keyword(s):  
Gesture Recognition ◽  
Body Motion ◽  
Future Research ◽  
Moderate Increase ◽  
Robotic Control ◽  
Mechanical Motion ◽  
Prosthetic Control ◽  
Current Survey ◽  
Environment Control ◽  
Number Of Publications

As a definition, Human–Machine Interface (HMI) enables a person to interact with a device. Starting from elementary equipment, the recent development of novel techniques and unobtrusive devices for biosignals monitoring paved the way for a new class of HMIs, which take such biosignals as inputs to control various applications. The current survey aims to review the large literature of the last two decades regarding biosignal-based HMIs for assistance and rehabilitation to outline state-of-the-art and identify emerging technologies and potential future research trends. PubMed and other databases were surveyed by using specific keywords. The found studies were further screened in three levels (title, abstract, full-text), and eventually, 144 journal papers and 37 conference papers were included. Four macrocategories were considered to classify the different biosignals used for HMI control: biopotential, muscle mechanical motion, body motion, and their combinations (hybrid systems). The HMIs were also classified according to their target application by considering six categories: prosthetic control, robotic control, virtual reality control, gesture recognition, communication, and smart environment control. An ever-growing number of publications has been observed over the last years. Most of the studies (about 67%) pertain to the assistive field, while 20% relate to rehabilitation and 13% to assistance and rehabilitation. A moderate increase can be observed in studies focusing on robotic control, prosthetic control, and gesture recognition in the last decade. In contrast, studies on the other targets experienced only a small increase. Biopotentials are no longer the leading control signals, and the use of muscle mechanical motion signals has experienced a considerable rise, especially in prosthetic control. Hybrid technologies are promising, as they could lead to higher performances. However, they also increase HMIs’ complexity, so their usefulness should be carefully evaluated for the specific application.

LIKE TRAJECTORIES OF THE BODY MOTION IN THE MEDIUM, THE RESISTANCE OF WHICH IS PROPORTIONAL TO THE SQUARE OF RELATIVE VELOCITY

2020 ◽  
pp. 77-83
Author(s):  
A.Y. Peretyatko ◽  
Keyword(s):  
Relative Velocity ◽  
The Body ◽  
Body Motion ◽  
Huge Number ◽  
History Of ◽  
Number Of Publications

For the pre-revolutionary Don historiography, complaints about the lack of a full-fledged generalizing work of the history of the Cossacks were extremely characteristic. As shown in the article, a similar situation is observed in our time: the article has again become the main genre of Cossack historiography, and the understanding of a huge number of publications on the history of various Cossack troops is extremely difficult. The author proves that in these conditions, works that claim to generalize become especially important, but it is extremely difficult to summarize all the facts, developments and research concepts on any broad topic of Cossack history. In his opinion, the search for other methods of scientific generalization and perception by historians of the developments of their colleagues looks promising. One of these ways he sees the organization of round tables on specifically Cossack topics, especially dedicated to new discoveries.

scholarly journals Real-time Hand-Gesture Recognition based on Deep Neural Network

2021 ◽  
Vol 102 ◽  
pp. 04009
Author(s):  
Naoto Ageishi ◽  
Fukuchi Tomohide ◽  
Abderazek Ben Abdallah
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Gesture Recognition ◽  
Deep Neural Network ◽  
Recognition System ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Robotic Control ◽  
Driver Assistance Systems ◽  
Fast Classification

Hand gestures are a kind of nonverbal communication in which visible bodily actions are used to communicate important messages. Recently, hand gesture recognition has received significant attention from the research community for various applications, including advanced driver assistance systems, prosthetic, and robotic control. Therefore, accurate and fast classification of hand gesture is required. In this research, we created a deep neural network as the first step to develop a real-time camera-only hand gesture recognition system without electroencephalogram (EEG) signals. We present the system software architecture in a fair amount of details. The proposed system was able to recognize hand signs with an accuracy of 97.31%.

Digital Health Literacy: A Bibliometric Analysis (Preprint)

2021 ◽  
Author(s):  
Keng Yang ◽  
Yekang Hu ◽  
Hanying Qi
Keyword(s):  
Health Literacy ◽  
Health Outcomes ◽  
Digital Divide ◽  
Bibliometric Analysis ◽  
Digital Health ◽  
The United States ◽  
Research Progress ◽  
Future Research ◽  
Scientific Publications ◽  
Number Of Publications

BACKGROUND Digital health is growing at a rapid pace, and digital health literacy has tremendous potential to promote health outcomes, bridge the digital divide, and improve health inequalities. OBJECTIVE The purposes of this study are to conduct a systematic bibliometric analysis on the field of dig-ital health literacy and to understand the research context and trends in this field. METHODS A total of 1,955 scientific publications were collected from the Web of Science (WoS) core col-lection. Institutional cooperation, journal co-citation, theme bursting, keyword co-occurrence, author cooperation, author co-citation, literature co-citation and references in the field of digi-tal health literacy were analyzed using the VOSviewer and CiteSpace knowledge mapping tools. RESULTS The results demonstrated that the United States was the leader in number of publications and citations in this field. The University of California System was first in terms of institutional contributions. The Journal of Medical Internet Research led in number of publications, cita-tions and co-citations. Research areas in the field of digital health literacy mainly include the definition and scale of health literacy, health literacy and health outcomes, health literacy and the digital divide, and the influencing factors of health literacy. CONCLUSIONS We summarize research progress in the field of digital health literacy and reveal the context, trends, and trending topics of digital health literacy research through statistical analysis and network visualization. Our work can serve as a fundamental reference and directional guide for future research in this field.

Trends in Destination Choice in Tourism Research: A 25-year Bibliometric Review

2021 ◽  
pp. 231971452110324
Author(s):  
Kshitija Pandey ◽  
Sujata Joshi
Keyword(s):  
Decision Making ◽  
Motivational Factors ◽  
Destination Choice ◽  
Future Research ◽  
Research Themes ◽  
Short Period ◽  
Bibliometric Review ◽  
Number Of Publications ◽  
Internal And External Factors ◽  
Social Profiles

Evolution of family leisure time have increased the demand for attractive destinations. In tourism, destination choice (DC) is considered a critical, complex and contextual decision. This, first of its kind, comprehensive, mix method bibliometric analysis of 627 papers from Scopus database spanning 25 years, is aimed to identify and review the most influential DC literature. It shows that DC is an interdisciplinary and evolving subject. Five themes, namely DC conceptualization, DC decision-making, DC modelling, DC internal and external factors are prevalent. DC conceptualization is explained by modified TPB and other models. DC decision-making process is hierarchical, sequential, multistage and varies across psychological, demographic and social profiles. Multiple choice, econometric and utility maximization models along with push–pull internal and external motivational factors have been extensively published. Growing academic interest in DC is evident from a threefold jump in average number of articles post-2007, 2500+ citations in 2019 out of 21,664 across 25 years, a growing trend of cross-country collaboration, rising number of publications in mainstream journals and 9 out of top 10 authors getting published in the short period of 2008–2016. Future research themes include empirical investigations of models, non-linear multifaceted decision-making and the pandemic’s impact on motivational factors.

scholarly journals A Bibliometric Analysis of Carbon Labeling Schemes in the Period 2007–2019

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4233
Author(s):  
Rui Zhao ◽  
Dingye Wu ◽  
Sebastiano Patti
Keyword(s):  
Bibliometric Analysis ◽  
Sustainable Consumption ◽  
Research Progress ◽  
Future Research ◽  
Labeling Schemes ◽  
Individual Perception ◽  
Environmental Labels ◽  
Number Of Publications ◽  
Grocery Products ◽  
Carbon Labeling

Carbon labeling schemes enable consumers to be aware of carbon emissions regarding products or services, to help change their purchasing behaviors. This study provides a bibliometric analysis to review the research progress of carbon labeling schemes during the period 2007–2019, in order to provide insight into its future development. Number of publications, countries of publications, authors, institutions, and highly cited papers are included for statistical analysis. The CiteSpace software package is used to visualize the national collaboration, keywords co-appearance, and aggregation. The results are given as follows: (1) there are 175 articles published in the pre-defined period, which shows a gradual increase, with a peak occurred in 2016; (2) carbon labeling schemes are mainly applied to grocery products, and gradually emerged in construction and tourism. (3) Existing studies mainly focus on examination of utility of carbon labeling schemes, by conducting surveys to investigate individual perception, preference, and willingness to pay. (4) Future research will include the optimization of life cycle assessment for labeling accreditation, improvement of labeling visualization for better expression, and normalization of various environmental labels to promote sustainable consumption.

scholarly journals Ethnopharmacology, Phytochemistry, and Pharmacology of Syzygium nervosum

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Giang Nam Pham ◽  
Tu Thanh Thi Nguyen ◽  
Hieu Nguyen-Ngoc
Keyword(s):  
Skin Diseases ◽  
Inflammatory Diseases ◽  
Research Direction ◽  
Future Research ◽  
Past Study ◽  
Plant Family ◽  
Pharmacological Activities ◽  
Chemical Profiling ◽  
Study Results ◽  
Number Of Publications

Syzygium nervosum, which belongs to the Myrtaceae plant family, is widely distributed and cultivated in South East Asian countries. The decoction of S. nervosum leaves and flower buds has been consumed regularly as a beverage among the Vietnamese and Chinese communities. In addition, it has also been used in traditional medicine for a variety of purposes, notably for influenza, skin diseases, and digestive conditions. To date, there has been a considerable number of publications on chemical profiling and pharmacological activities of S. nervosum crude extract and pure isolated compounds. Our analysis indicated the characteristic chemical scaffolds and potential bioactivities on cancer, diabetes, and inflammatory diseases of this plant. The review aims to summarize up-to-date past study results and suggest future research direction on this species, in order to promote clinical applications of S. nervosum.

scholarly journals Authentication Protocols for Internet of Things: A Comprehensive Survey

2017 ◽  
Vol 2017 ◽  
pp. 1-41 ◽  
Author(s):  
Mohamed Amine Ferrag ◽  
Leandros A. Maglaras ◽  
Helge Janicke ◽  
Jianmin Jiang ◽  
Lei Shu
Keyword(s):  
Internet Of Things ◽  
Future Research ◽  
Communication Overhead ◽  
Authentication Protocols ◽  
Internet Of Vehicles ◽  
Current Survey ◽  
Comprehensive Survey ◽  
Future Research Directions ◽  
Target Environment ◽  
Verification Techniques

In this paper, a comprehensive survey of authentication protocols for Internet of Things (IoT) is presented. Specifically more than forty authentication protocols developed for or applied in the context of the IoT are selected and examined in detail. These protocols are categorized based on the target environment: (1) Machine to Machine Communications (M2M), (2) Internet of Vehicles (IoV), (3) Internet of Energy (IoE), and (4) Internet of Sensors (IoS). Threat models, countermeasures, and formal security verification techniques used in authentication protocols for the IoT are presented. In addition a taxonomy and comparison of authentication protocols that are developed for the IoT in terms of network model, specific security goals, main processes, computation complexity, and communication overhead are provided. Based on the current survey, open issues are identified and future research directions are proposed.

Big data and performance measurement research: trends, evolution and future opportunities

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alberto Sardi ◽  
Enrico Sorano ◽  
Valter Cantino ◽  
Patrizia Garengo
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Performance Measurement System ◽  
Future Research ◽  
Holistic View ◽  
Content Type ◽  
Digital Revolution ◽  
Research Opportunities ◽  
And Performance ◽  
Number Of Publications

Purpose Current literature recognised big data as a digital revolution affecting all organisational processes. To obtain a competitive advantage from the use of big data, an efficient integration in a performance measurement system (PMS) is needed, but it is still a “great challenge” in performance measurement research. This paper aims to review the big data and performance measurement studies to identify the publications’ trends and future research opportunities. Design/methodology/approach The authors reviewed 873 documents on big data and performance carrying out an extensive bibliometric analysis using two main techniques, i.e. performance analysis and science mapping. Findings Results point to a significant increase in the number of publications on big data and performance, highlighting a shortage of studies on business, management and accounting areas, and on how big data can improve performance measurement. Future research opportunities are identified. They regard the development of further research to explain how performance measurement field can effectively integrate big data into a PMS and describe the main themes related to big data in performance measurement literature. Originality/value This paper gives a holistic view of big data and performance measurement research through the inclusion of numerous contributions on different research streams. It also encourages further study for developing concrete tools.

scholarly journals El pensamiento computacional en Educación. Análisis bibliométrico y temático.

2020 ◽  
Vol 20 (63) ◽  
Author(s):  
Rosabel Roig-Vila ◽  
Víctor Moreno-Isac
Keyword(s):  
Research Methods ◽  
Web Of Science ◽  
Computational Thinking ◽  
Future Research ◽  
Main Research ◽  
Documentary Sources ◽  
Starting Point ◽  
The Status ◽  
Number Of Publications ◽  
Educación Primaria

El pensamiento computacional se está considerando actualmente como una de las competencias más demandadas y, de ahí, su planteamiento en el contexto educativo. Este trabajo trata de analizar la literatura científica sobre la aplicación del pensamiento computacional en el ámbito educativo publicada en las colecciones principales de la base de datos Web of Science. Se han tenido en cuenta las variables de año de publicación, los países con más producciones, los autores más productivos en este campo y fuentes documentales con mayor número de publicaciones. Asimismo, se ha realizado una clasificación según los tipos de documentos y los métodos de investigación utilizados, así como las etapas educativas objeto de estudio y los lenguajes de programación utilizados. Se ha hallado una tendencia creciente de publicaciones en esta temática, donde España es uno de los países donde más se publica. Además, se ha observado cómo este campo de estudio se ha abordado desde los dos principales métodos de investigación –cuantitativo y cualitativo— y la etapa educativa más investigada es la educación primaria. Por último, se lleva a cabo una discusión de los resultados y conclusiones, sirviendo este documento como punto de partida para futuras investigaciones sobre el pensamiento computacional en educación. The status of computational thinking as one of the most demanded skills explains why suggestions are currently being made to apply it within the educational context. This paper constitutes an attempt to analyze the scientific literature on the implementation of computational thinking in the field of education published in the most important Web of Science database collections. Attention was paid to four variables, namely: publication year; countries with more productions; the most productive authors in this field; and documentary sources with a higher number of publications. Added to this, we carried out a classification according to the types of documents and the research methods used, along with the educational stages under study and the programming language adopted. Publications are undoubtedly on an upward trend, Spain standing out as one of the most productive countries in this area. Likewise, evidence demonstrates not only that this field of study has been addressed using the two main research methods —quantitative and qualitative— but also that the emphasis has traditionally been placed on the primary education stage. A discussion of the results obtained as well as the conclusions drawn will put an end to this paper, which can hopefully serve as a starting point for future research works on the utilization of computational thinking in education.

scholarly journals Scientific Literature Analysis on Sustainability with the Implication of Open Innovation

2020 ◽  
Vol 6 (4) ◽  
pp. 162 ◽  
Author(s):  
Jose Alejandro Cano ◽  
Abraham Londoño-Pineda
Keyword(s):  
Environmental Sustainability ◽  
Open Innovation ◽  
Social Impact ◽  
Environmental Science ◽  
Publication Rate ◽  
Future Research ◽  
Sustainability Research ◽  
Critical Issues ◽  
General Statistical ◽  
Number Of Publications

Studies related to sustainability have been performed extensively around the world to evaluate the environmental, economic, and social impact of practices that meet the current and future needs of society. Based on the Scopus database, this study presents a bibliometric analysis for the long, medium, and short term to represent the characteristics of publications related to sustainability, identify research trends and thematic areas with a promising future in research. The analysis covers the following topics: general statistical description, most addressed thematic areas in sustainability, the geographical distribution of sustainability publications, and most influential and cited journals, authors, and articles. The results show sustainability prevails in areas like Engineering, Energy, Environmental Science, and Business, Management, and Accounting, and the publication rate in this field has increased exponentially in the last 10 years. This study also shows that the most productive journals in sustainability research are Sustainability Switzerland and Journal of Cleaner Production, focusing on interdisciplinary and transdisciplinary topics. Likewise, the critical issues of sustainability research are related to sustainable development, humans, environmental sustainability, climate change, decision-making, and environmental impact. As sustainability with open innovation represents a topic with an increasing number of publications, future research can be oriented toward this topic.

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