A Review on 3D Signing Avatars

2013 ◽  
Vol 4 (1) ◽  
pp. 21-45 ◽  
Author(s):  
Kabil Jaballah ◽  
Mohamed Jemni
Keyword(s):  
State Of The Art ◽  
Deaf Education ◽  
Lessons Learned ◽  
Language Generation ◽  
Deaf Parents ◽  
Linguistic Representations ◽  
Manual Signs ◽  
Signing Avatars ◽  
Telecommunications Companies

Signing avatars are becoming common thanks to their potential to improve deaf education. These 3D animated characters are able to perform manual and non-manual signs. As they tap the natural skills of deaf individuals and thanks to the advances in 3D humanoids modeling and animation technologies, 3D signing avatars are getting increasing interest. They are actually used for multiple purposes in multiple fields. Deaf parents, teacher, telecommunications’ companies and many other agencies are involving in this area for different reasons. In this paper, the authors report the state of the art in signing avatars research and development as well as the purposes for which 3D signing characters are being used. They discussed the methods and the technologies adopted to create 3D signed contents. A case study of five 3D Sign Language generation systems will be highlighted. The authors will consider their architectures, linguistic representations, the modeling and the animation techniques that have been undertaken. They conducted a study to compare the performance of the available systems regarding the understandability of the generated signed contents. By the end of the survey, the authors bring the lessons learned from this study.

Signing Avatars

2010 ◽  
pp. 249-267
Author(s):  
Nicoletta Adamo-Villani ◽  
Kyle Hayward
Keyword(s):  
Research And Development ◽  
State Of The Art ◽  
Deaf Education ◽  
3D Models ◽  
Future Trends ◽  
Different Types ◽  
Manual Signs ◽  
Signing Avatars ◽  
Skeletal Deformation

The chapter focuses on signing avatars and their potential to improve deaf education. In sections 1 and 2, the authors give an overview of what signing avatars are and the benefits of using animated characters for deaf education. In section 3, they explain how signing avatars are created. In particular, in subsection 3.1, they describe different types of 3D models and skeletal deformation systems, and in subsection 3.2 the authors discuss a variety of methods used to animate manual and non-manual signs. In section 4 they report the state of the art in signing avatars’ research and development and we discuss existing limitations and future trends. Section 5 includes a case study on the production of the signing avatars for SMILE™ and Mathsigner™ Conclusive remarks are presented in section 6.

BIM in the Saudi Arabian construction industry: state of the art, benefit and barriers

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdullah Al-Yami ◽  
Muizz O. Sanni-Anibire
Keyword(s):  
Saudi Arabia ◽  
Construction Industry ◽  
Construction Projects ◽  
State Of The Art ◽  
Pilot Project ◽  
Lessons Learned ◽  
Information Modeling ◽  
Perceived Benefits ◽  
Content Type

Purpose Although there is a boom in the construction industry in the Kingdom of Saudi Arabia (KSA), it is yet to fully adopt building information modeling (BIM), which has received a lot of attention in the US, UK and Australian construction industries. Thus, the purpose of this paper is to provide the current state of the art in BIM implementation in Saudi Arabia, as well as perceived benefits and barriers through a case study. Design/methodology/approach A broad overview of BIM, the construction industry in KSA and the research and implementation of BIM in KSA was presented in this study. The research further established the perceived benefits and barriers of BIM implementation through a case study of a local AEC firm. A questionnaire survey was used to obtain lessons learned from the BIM team of the pilot project and was further analyzed using the RII approach. Findings The study’s findings include the lack of policy initiatives in KSA to enforce BIM in the construction industry, as well as the lack of sufficient research in the domain of BIM in KSA. Furthermore, the case study also revealed that the most important benefit of BIM adoption is “detection of inter-disciplinary conflicts in the drawings to reduce error, maintain design intent, control quality and speed up communication,” whereas the most important barrier is “the need for re-engineering many construction projects for successful transition towards BIM.” Originality/value The study provides a background for enhanced research towards the implementation of BIM in Saudi Arabia and also demonstrates the potential benefits and barriers in BIM implementation.

scholarly journals Methodology for integrating artificial intelligence in healthcare systems: learning from COVID-19 to prepare for Disease X

AI and Ethics ◽  
2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Carsten Maple ◽  
Uchenna Ani
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Qualitative Case Study ◽  
Healthcare Systems ◽  
Lessons Learned ◽  
Case Study Method ◽  
Research Problems ◽  
Systems Learning ◽  
Digital Healthcare

AbstractArtificial intelligence and edge devices have been used at an increased rate in managing the COVID-19 pandemic. In this article we review the lessons learned from COVID-19 to postulate possible solutions for a Disease X event. The overall purpose of the study and the research problems investigated is the integration of artificial intelligence function in digital healthcare systems. The basic design of the study includes a systematic state-of-the-art review, followed by an evaluation of different approaches to managing global pandemics. The study design then engages with constructing a new methodology for integrating algorithms in healthcare systems, followed by analysis of the new methodology and a discussion. Action research is applied to review existing state of the art, and a qualitative case study method is used to analyse the knowledge acquired from the COVID-19 pandemic. Major trends found as a result of the study derive from the synthesis of COVID-19 knowledge, presenting new insights in the form of a conceptual methodology—that includes six phases for managing a future Disease X event, resulting with a summary map of various problems, solutions and expected results from integrating functional AI in healthcare systems.

scholarly journals POPLMark reloaded: Mechanizing proofs by logical relations

2019 ◽  
Vol 29 ◽  
Author(s):  
ANDREAS ABEL ◽  
GUILLAUME ALLAIS ◽  
ALIYA HAMEER ◽  
BRIGITTE PIENTKA ◽  
ALBERTO MOMIGLIANO ◽  
...  
Keyword(s):  
Programming Languages ◽  
State Of The Art ◽  
General Purpose ◽  
Higher Order ◽  
Lessons Learned ◽  
Benchmark Problems ◽  
Proof Assistants ◽  
Abstract Syntax ◽  
The Masses

Abstract We propose a new collection of benchmark problems in mechanizing the metatheory of programming languages, in order to compare and push the state of the art of proof assistants. In particular, we focus on proofs using logical relations (LRs) and propose establishing strong normalization of a simply typed calculus with a proof by Kripke-style LRs as a benchmark. We give a modern view of this well-understood problem by formulating our LR on well-typed terms. Using this case study, we share some of the lessons learned tackling this problem in different dependently typed proof environments. In particular, we consider the mechanization in Beluga, a proof environment that supports higher-order abstract syntax encodings and contrast it to the development and strategies used in general-purpose proof assistants such as Coq and Agda. The goal of this paper is to engage the community in discussions on what support in proof environments is needed to truly bring mechanized metatheory to the masses and engage said community in the crafting of future benchmarks.

scholarly journals Gameplay, Interactive Drama, and Training: Authoring Edutainment Stories for Online Players (AESOP)

2007 ◽  
Vol 16 (1) ◽  
pp. 65-83 ◽  
Author(s):  
Barry G Silverman ◽  
Michael Johns ◽  
Ransom Weaver ◽  
Josh Mosley
Keyword(s):  
State Of The Art ◽  
Educational Games ◽  
Lessons Learned ◽  
Full Potential ◽  
Technological Advances ◽  
Interactive Drama ◽  
Game Engines ◽  
And Training ◽  
Accessible Format

This paper describes initial efforts at providing some of the technological advances of the videogame genres in a coherent, accessible format to teams of educators. By providing these capabilities inside an interactive drama generator, we believe that the full potential of educational games may eventually be realized. Sections 1 and 2 postulate three goals for reaching that objective: a toolset for interactive drama authoring, ways to insulate authors from game engines, and reusable digital casts to facilitate composability. Sections 3 and 4 present progress on those tools and an in-depth case study that made use of the resulting toolset to create a large interactive drama. We close with lessons learned to date and a look at the remaining challenges: the unpleasant reality that state-of-the-art tools are not yet able to boost the productivity of edutainment authors.

scholarly journals Hierarchical Attention Networks for Sentence Ordering

2019 ◽  
Vol 33 ◽  
pp. 7184-7191
Author(s):  
Tianming Wang ◽  
Xiaojun Wan
Keyword(s):  
Natural Language ◽  
State Of The Art ◽  
Natural Language Generation ◽  
Attention Network ◽  
Attention Networks ◽  
Language Generation ◽  
Visualization Analysis ◽  
Discourse Coherence ◽  
Model Visualization

Modeling discourse coherence is an important problem in natural language generation and understanding. Sentence ordering, the goal of which is to organize a set of sentences into a coherent text, is a commonly used task to learn and evaluate the model. In this paper, we propose a novel hierarchical attention network that captures word clues and dependencies between sentences to address this problem. Our model outperforms prior methods and achieves state-of-the-art performance on several datasets in different domains. Furthermore, our experiments demonstrate that the model performs very well even though adding noisy sentences into the set, which shows the robustness and effectiveness of the model. Visualization analysis and case study show that our model captures the structure and pattern of coherent texts not only by simple word clues but also by consecution in context.

Faculty Development: A Stage Model Matched to Blended Learning Maturation

2011 ◽  
Vol 15 (1) ◽  
Author(s):  
Michael L. Fetters ◽  
Tova Garcia Duby
Keyword(s):  
Faculty Development ◽  
Blended Learning ◽  
Lessons Learned ◽  
Technology Enhanced Learning ◽  
Stage Model ◽  
Years Of Experience ◽  
Development Programs ◽  
Curriculum Innovation ◽  
Enhanced Learning

Faculty development programs are critical to the implementation and support of curriculum innovation. In this case study, the authors present lessons learned from ten years of experience in faculty development programs created to support innovation in technology enhanced learning. Stages of curriculum innovation are matched to stages of faculty development, and important lessons for success as well as current challenges are delineated and discussed.

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