Early Detection of Dementia

2020 ◽  
pp. 1963-1988
Author(s):  
Stefanos Xefteris ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Panagiotis E. Antoniou ◽  
Charis Styliadis ◽  
...  
Keyword(s):  
Early Detection ◽  
Assisted Living ◽  
Serious Games ◽  
State Of The Art ◽  
Home Environments ◽  
Current State ◽  
Home Based ◽  
Points Of View ◽  
Future Work ◽  
Behavioral Monitoring

Early detection and prediction of dementia through unobtrusive techniques or obtrusive tests is still in exploratory status and despite the increase of interest in recent years, many challenges remain open in designing methodologies that can accurately predict its onset. This chapter addresses the problem of the early detection of dementia from two points of view: Detection based on unobtrusive paradigms both in lab and home environments (behavioral monitoring, serious games, home based assisted living applications in telemedicine) and detection based on neuroimaging approaches. The chapter also provides information on setting up ecologically valid home labs for dementia related experiments. Consequently, the aim of this chapter is to provide an overview of a complete methodology of how researchers can possibly detect or predict the onset of dementia through the current state-of-the-art, underline open challenges and illustrate future work in the field.

Early Detection of Dementia

2016 ◽  
pp. 74-106
Author(s):  
Stefanos Xefteris ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Panagiotis E. Antoniou ◽  
Charis Styliadis ◽  
...  
Keyword(s):  
Early Detection ◽  
Assisted Living ◽  
Serious Games ◽  
State Of The Art ◽  
Home Environments ◽  
Current State ◽  
Home Based ◽  
Points Of View ◽  
Future Work ◽  
Behavioral Monitoring

Early detection and prediction of dementia through unobtrusive techniques or obtrusive tests is still in exploratory status and despite the increase of interest in recent years, many challenges remain open in designing methodologies that can accurately predict its onset. This chapter addresses the problem of the early detection of dementia from two points of view: Detection based on unobtrusive paradigms both in lab and home environments (behavioral monitoring, serious games, home based assisted living applications in telemedicine) and detection based on neuroimaging approaches. The chapter also provides information on setting up ecologically valid home labs for dementia related experiments. Consequently, the aim of this chapter is to provide an overview of a complete methodology of how researchers can possibly detect or predict the onset of dementia through the current state-of-the-art, underline open challenges and illustrate future work in the field.

Simulation of HIV Infection Propagation Networks

2013 ◽  
Vol 5 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Alfredo Tirado-Ramos ◽  
Chris Kelley
Keyword(s):  
High Risk ◽  
Drug Users ◽  
Hiv Transmission ◽  
State Of The Art ◽  
Complex Nature ◽  
Model Framework ◽  
Agent Based ◽  
Current State ◽  
Future Work ◽  
Risk Infection

Simulating the transmission of HIV requires a model framework that can account for the complex nature of HIV transmission. In this paper the authors present the current state of the art for simulating HIV with agent-based models and highlight some of the significant contributions of current research. The authors then propose opportunities for future work including their plan that involves identifying and monitoring high-risk drug users that can potentially initiate high-risk infection propagation networks.

scholarly journals The postdigital turn: Philosophy, education, research

2021 ◽  
pp. 147821032110627
Author(s):  
Petar Jandrić ◽  
Jeremy Knox
Keyword(s):  
Education Research ◽  
Educational Research ◽  
State Of The Art ◽  
The Third ◽  
Current State ◽  
Digital Physics ◽  
Future Work ◽  
Scientific Fields

This article develops a post-determinist and a post-instrumentalist understanding of education and educational research through the lens of postdigital theory. We begin with historicizing current postdigital research by showing its intellectual ancestry and recognizing its rapidly changing nature. We move on to current state of the art, which we present in three wide themes. The first theme is the great convergence of various lower-level techno-scientific convergences, such as analogue–digital, physics–biology, and biology–information, which results in new epistemologies, ontologies and practices. The second theme is some consequences of the great convergence for education and pedagogy, which result in new postdigital ecopedagogies. The third theme is postdigital research, which is reconfigured by the great convergence towards a closer collaboration between traditional scientific fields and disciplines. We briefly outline four such reconfigurations (multidisciplinary, interdisciplinarity, transdisciplinarity, and antidisciplinarity) and their implications. The article concludes with a brief list of directions for future work in the field.

scholarly journals State-of-the-art in Business Games

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Panagiotis Petridis ◽  
Kyriaki Hadjicosta ◽  
Victor Shi Guang ◽  
Ian Dunwell ◽  
Tim Baines ◽  
...  
Keyword(s):  
Decision Making ◽  
Serious Games ◽  
State Of The Art ◽  
Digital Games ◽  
Business Environment ◽  
Business Context ◽  
Evaluation Methodologies ◽  
Proven Efficacy ◽  
Research Questions ◽  
Future Work

The use of digital games and gamification has demonstrated potential to improve many aspects of how businesses provide training to staff, and communicate with consumers. However, there is still a need for better understanding of how the adoption of games and gasification would influence the process of decision-making in organisations across different industry. This article provides a structured review of existing literature on the use of games in the business environment, and seeks to consolidate findings to address research questions regarding their perception, proven efficacy, and identifies key areas for future work. The findings highlight that serious games can have positive and effective impacts in multiple areas of a business, including training, decision-support, and consumer outreach. They also emphasise the challenges and pitfalls of applying serious games and gamification principles within a business context, and discuss the implications of development and evaluation methodologies on the success of a game-based solution.

scholarly journals Interactive Digital Serious Games for the Assessment, Rehabilitation, and Prediction of Dementia

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Sayed Kazmi ◽  
Hassan Ugail ◽  
Valerie Lesk ◽  
Ian Palmer
Keyword(s):  
Serious Games ◽  
State Of The Art ◽  
Computer Game ◽  
Severe Adverse Effect ◽  
Brain Training ◽  
Current State ◽  
Research Material ◽  
Conventional Tests ◽  
Research Grade

Dementia is a serious, progressive, and often debilitating illness with no known cure, having a severe adverse effect on memory, behaviour, reasoning, and communication. A comprehensive review of current refereed research material in the use of games in this area is scarce and suffers from being orientated towards commercially available games or derivatives such as “Dr. Kawashima’s brain training.” There is much lesser concern for bespoke research grade alternatives. This review will attempt to assess the current state of the art in research orientated games for dementia, importantly identifying systems capable of prediction before the onset of the disease. It can be ascertained from the literature reviewed that there are clearly a large number of interactive computer game based mechanisms used for dementia. However, these are each highly intrusive in terms of affecting normal living and the patient is aware of being tested; furthermore their long-term or real benefits are unknown as is their effect over conventional tests. It is important to predict cognitive impairment at a stage early enough to maximise benefit from treatment and therapeutic intervention. Considering the availability, use, and increasing power of modern mobile smartphones, it is logically plausible to explore this platform for dementia healthcare.

scholarly journals WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web

2016 ◽  
Vol 22 (3) ◽  
pp. 364-407 ◽  
Author(s):  
Tim Taylor ◽  
Joshua E. Auerbach ◽  
Josh Bongard ◽  
Jeff Clune ◽  
Simon Hickinbotham ◽  
...  
Keyword(s):  
Recent Work ◽  
Artificial Life ◽  
State Of The Art ◽  
Web Based ◽  
Web Technologies ◽  
Current State ◽  
The Many ◽  
Exciting Area ◽  
Future Work ◽  
The Web

We present a survey of the first 21 years of web-based artificial life (WebAL) research and applications, broadly construed to include the many different ways in which artificial life and web technologies might intersect. Our survey covers the period from 1994—when the first WebAL work appeared—up to the present day, together with a brief discussion of relevant precursors. We examine recent projects, from 2010–2015, in greater detail in order to highlight the current state of the art. We follow the survey with a discussion of common themes and methodologies that can be observed in recent work and identify a number of likely directions for future work in this exciting area.

Recent Progress in Unsteady and Pulsatile Flow Performance Analysis of Turbocharger Turbines

2014 ◽  
Author(s):  
Josiah L. Kwao-Ampomah ◽  
Weiling Zhuge ◽  
Yangjun Zhang
Keyword(s):  
Numerical Methods ◽  
Unsteady Flow ◽  
Experimental Analysis ◽  
Recent Progress ◽  
State Of The Art ◽  
Cfd Analysis ◽  
Current State ◽  
Turbine Performance ◽  
Flow Effects ◽  
Future Work

In this review, a summary and discussion of the current state of the art on computational and experimental analysis of unsteady flow effects on turbocharger turbine performance is presented. The numerical methods, for CFD analysis are first introduced and explained together with their unique advantages and limitations. Details on several approaches and test facilities used in experimental analysis of unsteady flow effects on turbine performance are compared and criticised. Conclusions of the results and discussion comprise recommendations for more accurate acquisition of data and justifications for future work needed in this field, including a twin entry volute design alteration that could reduce pulse energy loss.

3D Technologies and Applications in Sign Language

2020 ◽  
pp. 50-78 ◽  
Author(s):  
Kiriakos Stefanidis ◽  
Dimitrios Konstantinidis ◽  
Athanasios Kalvourtzis ◽  
Kosmas Dimitropoulos ◽  
Petros Daras
Keyword(s):  
Hearing Loss ◽  
Everyday Life ◽  
Sign Language ◽  
Social Inclusion ◽  
State Of The Art ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
Current State ◽  
Future Work

Millions of people suffering from partial or complete hearing loss use variants of sign language to communicate with each other or hearing people in their everyday life. Thus, it is imperative to develop systems to assist these people by removing the barriers that affect their social inclusion. These systems should aim towards capturing sign language in an accurate way, classifying sign language to natural words and representing sign language by having avatars or synthesized videos execute the exact same moves that convey a meaning in the sign language. This chapter reviews current state-of-the-art approaches that attempt to solve sign language recognition and representation and analyzes the challenges they face. Furthermore, this chapter presents a novel AI-based solution to the problem of robust sign language capturing and representation, as well as a solution to the unavailability of annotated sign language datasets before limitations and directions for future work are discussed.

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